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MATH 461: Fourier Series and Boundary Value Problems Chapter V: Sturm–Liouville Eigenvalue Problems Greg Fasshauer Department of Applied Mathematics Illinois Institute of Technology Fall 2015 [email protected] MATH 461 – Chapter 5 1

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Page 1: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

MATH 461: Fourier Series and Boundary ValueProblems

Chapter V: Sturm–Liouville Eigenvalue Problems

Greg Fasshauer

Department of Applied MathematicsIllinois Institute of Technology

Fall 2015

[email protected] MATH 461 – Chapter 5 1

Page 2: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 2

Page 3: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Introduction

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 3

Page 4: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Introduction

So far all of our problems have involved the two-point BVP

ϕ′′(x) + λϕ(x) = 0

which – depending on the boundary conditions – leads to a certain setof eigenvalues and eigenfunctions: e.g.,

1 ϕ(0) = ϕ(L) = 0:

λn =(nπ

L

)2, ϕn(x) = sin

nπxL, n = 1,2,3, . . .

2 ϕ′(0) = ϕ′(L) = 0:

λn =(nπ

L

)2, ϕn(x) = cos

nπxL, n = 0,1,2, . . .

3 ϕ(−L) = ϕ(L) and ϕ′(−L) = ϕ′(L):

λn =(nπ

L

)2, ϕn(x) = c1 cos

nπxL

+ c2 sinnπx

L, n = 0,1,2, . . .

[email protected] MATH 461 – Chapter 5 4

Page 5: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Introduction

So far all of our problems have involved the two-point BVP

ϕ′′(x) + λϕ(x) = 0

which – depending on the boundary conditions – leads to a certain setof eigenvalues and eigenfunctions: e.g.,

1 ϕ(0) = ϕ(L) = 0:

λn =(nπ

L

)2, ϕn(x) = sin

nπxL, n = 1,2,3, . . .

2 ϕ′(0) = ϕ′(L) = 0:

λn =(nπ

L

)2, ϕn(x) = cos

nπxL, n = 0,1,2, . . .

3 ϕ(−L) = ϕ(L) and ϕ′(−L) = ϕ′(L):

λn =(nπ

L

)2, ϕn(x) = c1 cos

nπxL

+ c2 sinnπx

L, n = 0,1,2, . . .

[email protected] MATH 461 – Chapter 5 4

Page 6: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Introduction

So far all of our problems have involved the two-point BVP

ϕ′′(x) + λϕ(x) = 0

which – depending on the boundary conditions – leads to a certain setof eigenvalues and eigenfunctions: e.g.,

1 ϕ(0) = ϕ(L) = 0:

λn =(nπ

L

)2, ϕn(x) = sin

nπxL, n = 1,2,3, . . .

2 ϕ′(0) = ϕ′(L) = 0:

λn =(nπ

L

)2, ϕn(x) = cos

nπxL, n = 0,1,2, . . .

3 ϕ(−L) = ϕ(L) and ϕ′(−L) = ϕ′(L):

λn =(nπ

L

)2, ϕn(x) = c1 cos

nπxL

+ c2 sinnπx

L, n = 0,1,2, . . .

[email protected] MATH 461 – Chapter 5 4

Page 7: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Introduction

So far all of our problems have involved the two-point BVP

ϕ′′(x) + λϕ(x) = 0

which – depending on the boundary conditions – leads to a certain setof eigenvalues and eigenfunctions: e.g.,

1 ϕ(0) = ϕ(L) = 0:

λn =(nπ

L

)2, ϕn(x) = sin

nπxL, n = 1,2,3, . . .

2 ϕ′(0) = ϕ′(L) = 0:

λn =(nπ

L

)2, ϕn(x) = cos

nπxL, n = 0,1,2, . . .

3 ϕ(−L) = ϕ(L) and ϕ′(−L) = ϕ′(L):

λn =(nπ

L

)2, ϕn(x) = c1 cos

nπxL

+ c2 sinnπx

L, n = 0,1,2, . . .

[email protected] MATH 461 – Chapter 5 4

Page 8: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Introduction

RemarkThe eigenfunctions in the examples on the previous slide weresubsequently used to generate

1 Fourier sine series,2 Fourier cosine series, or3 Fourier series.

In this chapter we will study problems which involve more generalBVPs and then lead to generalized Fourier series.

[email protected] MATH 461 – Chapter 5 5

Page 9: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Introduction

RemarkThe eigenfunctions in the examples on the previous slide weresubsequently used to generate

1 Fourier sine series,2 Fourier cosine series, or3 Fourier series.

In this chapter we will study problems which involve more generalBVPs and then lead to generalized Fourier series.

[email protected] MATH 461 – Chapter 5 5

Page 10: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 6

Page 11: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

Heat Flow in a Nonuniform Rod

Recall the general form of the 1D heat equation:

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ Q(x , t).

The separation of variables technique is likely to be applicable if thePDE is linear and homogeneous. Therefore, we assume

Q(x , t) = α(x)u(x , t)

with x-dependent proportionality factor α.The resulting PDE

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t) (1)

is linear and homogeneous and we will derive the corresponding BVPresulting from separation of variables below.

[email protected] MATH 461 – Chapter 5 7

Page 12: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

Heat Flow in a Nonuniform Rod

Recall the general form of the 1D heat equation:

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ Q(x , t).

The separation of variables technique is likely to be applicable if thePDE is linear and homogeneous. Therefore, we assume

Q(x , t) = α(x)u(x , t)

with x-dependent proportionality factor α.

The resulting PDE

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t) (1)

is linear and homogeneous and we will derive the corresponding BVPresulting from separation of variables below.

[email protected] MATH 461 – Chapter 5 7

Page 13: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

Heat Flow in a Nonuniform Rod

Recall the general form of the 1D heat equation:

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ Q(x , t).

The separation of variables technique is likely to be applicable if thePDE is linear and homogeneous. Therefore, we assume

Q(x , t) = α(x)u(x , t)

with x-dependent proportionality factor α.The resulting PDE

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t) (1)

is linear and homogeneous and we will derive the corresponding BVPresulting from separation of variables below.

[email protected] MATH 461 – Chapter 5 7

Page 14: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

RemarkNote that

∂x

(K0(x)

∂u∂x

(x , t))

= K ′0(x)∂u∂x

(x , t) + K0(x)∂2u∂x2 (x , t).

Therefore, a PDE such as

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t)

arises, e.g., as convection-diffusion-reaction equation in the modelingof chemical reactions (such as air pollution models) withconvection term: K ′0(x)

∂u∂x (x , t)

diffusion term: K0(x)∂2u∂x2 (x , t)

reaction term: α(x)u(x , t)

[email protected] MATH 461 – Chapter 5 8

Page 15: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

RemarkNote that

∂x

(K0(x)

∂u∂x

(x , t))

= K ′0(x)∂u∂x

(x , t) + K0(x)∂2u∂x2 (x , t).

Therefore, a PDE such as

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t)

arises, e.g., as convection-diffusion-reaction equation in the modelingof chemical reactions (such as air pollution models) withconvection term: K ′0(x)

∂u∂x (x , t)

diffusion term: K0(x)∂2u∂x2 (x , t)

reaction term: α(x)u(x , t)

[email protected] MATH 461 – Chapter 5 8

Page 16: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

We now assume u(x , t) = ϕ(x)T (t) and apply separation of variablesto

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t).

This results in

c(x)ρ(x)ϕ(x)T ′(t) =d

dx(K0(x)ϕ′(x)T (t)

)+ α(x)ϕ(x)T (t).

Division by c(x)ρ(x)ϕ(x)T (t) gives

T ′(t)T (t)

=1

c(x)ρ(x)ϕ(x)d

dx(K0(x)ϕ′(x)

)+

α(x)c(x)ρ(x)

= −λ.

RemarkAs always, we choose the minus sign with λ so that the resulting ODET ′(t) = −λT (t) has a decaying solution for positive λ.

[email protected] MATH 461 – Chapter 5 9

Page 17: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

We now assume u(x , t) = ϕ(x)T (t) and apply separation of variablesto

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t).

This results in

c(x)ρ(x)ϕ(x)T ′(t) =d

dx(K0(x)ϕ′(x)T (t)

)+ α(x)ϕ(x)T (t).

Division by c(x)ρ(x)ϕ(x)T (t) gives

T ′(t)T (t)

=1

c(x)ρ(x)ϕ(x)d

dx(K0(x)ϕ′(x)

)+

α(x)c(x)ρ(x)

= −λ.

RemarkAs always, we choose the minus sign with λ so that the resulting ODET ′(t) = −λT (t) has a decaying solution for positive λ.

[email protected] MATH 461 – Chapter 5 9

Page 18: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

We now assume u(x , t) = ϕ(x)T (t) and apply separation of variablesto

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t).

This results in

c(x)ρ(x)ϕ(x)T ′(t) =d

dx(K0(x)ϕ′(x)T (t)

)+ α(x)ϕ(x)T (t).

Division by c(x)ρ(x)ϕ(x)T (t) gives

T ′(t)T (t)

=1

c(x)ρ(x)ϕ(x)d

dx(K0(x)ϕ′(x)

)+

α(x)c(x)ρ(x)

= −λ.

RemarkAs always, we choose the minus sign with λ so that the resulting ODET ′(t) = −λT (t) has a decaying solution for positive λ.

[email protected] MATH 461 – Chapter 5 9

Page 19: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

We now assume u(x , t) = ϕ(x)T (t) and apply separation of variablesto

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t).

This results in

c(x)ρ(x)ϕ(x)T ′(t) =d

dx(K0(x)ϕ′(x)T (t)

)+ α(x)ϕ(x)T (t).

Division by c(x)ρ(x)ϕ(x)T (t) gives

T ′(t)T (t)

=1

c(x)ρ(x)ϕ(x)d

dx(K0(x)ϕ′(x)

)+

α(x)c(x)ρ(x)

= −λ.

RemarkAs always, we choose the minus sign with λ so that the resulting ODET ′(t) = −λT (t) has a decaying solution for positive λ.

[email protected] MATH 461 – Chapter 5 9

Page 20: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

We now assume u(x , t) = ϕ(x)T (t) and apply separation of variablesto

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t))+ α(x)u(x , t).

This results in

c(x)ρ(x)ϕ(x)T ′(t) =d

dx(K0(x)ϕ′(x)T (t)

)+ α(x)ϕ(x)T (t).

Division by c(x)ρ(x)ϕ(x)T (t) gives

T ′(t)T (t)

=1

c(x)ρ(x)ϕ(x)d

dx(K0(x)ϕ′(x)

)+

α(x)c(x)ρ(x)

= −λ.

RemarkAs always, we choose the minus sign with λ so that the resulting ODET ′(t) = −λT (t) has a decaying solution for positive λ.

[email protected] MATH 461 – Chapter 5 9

Page 21: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

From

T ′(t)T (t)

=1

c(x)ρ(x)ϕ(x)d

dx(K0(x)ϕ′(x)

)+

α(x)c(x)ρ(x)

= −λ.

we see that the resulting ODE for the spatial BVP is

ddx(K0(x)ϕ′(x)

)+ α(x)ϕ(x) + λc(x)ρ(x)ϕ(x) = 0

and it is in general not known how to solve this ODE eigenvalueproblem analytically.

[email protected] MATH 461 – Chapter 5 10

Page 22: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

From

T ′(t)T (t)

=1

c(x)ρ(x)ϕ(x)d

dx(K0(x)ϕ′(x)

)+

α(x)c(x)ρ(x)

= −λ.

we see that the resulting ODE for the spatial BVP is

ddx(K0(x)ϕ′(x)

)+ α(x)ϕ(x) + λc(x)ρ(x)ϕ(x) = 0

and it is in general not known how to solve this ODE eigenvalueproblem analytically.

[email protected] MATH 461 – Chapter 5 10

Page 23: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

From

T ′(t)T (t)

=1

c(x)ρ(x)ϕ(x)d

dx(K0(x)ϕ′(x)

)+

α(x)c(x)ρ(x)

= −λ.

we see that the resulting ODE for the spatial BVP is

ddx(K0(x)ϕ′(x)

)+ α(x)ϕ(x) + λc(x)ρ(x)ϕ(x) = 0

and it is in general not known how to solve this ODE eigenvalueproblem analytically.

[email protected] MATH 461 – Chapter 5 10

Page 24: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

Circularly Symmetric Heat Flow in 2D

The standard 2D-heat equation in polar coordinates is given by

∂u∂t

(r , θ, t) = k∇2u(r , θ, t),

where

∇2u =1r∂

∂r

(r∂u∂r

)+

1r2∂2u∂θ2 .

If we assume circular symmetry, i.e., no dependence on θ, then∂2u∂θ2 = 0 and we have (see also HW 1.5.5)

∂u∂t

(r , t) =kr∂

∂r

(r∂u∂r

(r , t)).

[email protected] MATH 461 – Chapter 5 11

Page 25: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

Circularly Symmetric Heat Flow in 2D

The standard 2D-heat equation in polar coordinates is given by

∂u∂t

(r , θ, t) = k∇2u(r , θ, t),

where

∇2u =1r∂

∂r

(r∂u∂r

)+

1r2∂2u∂θ2 .

If we assume circular symmetry, i.e., no dependence on θ, then∂2u∂θ2 = 0 and we have (see also HW 1.5.5)

∂u∂t

(r , t) =kr∂

∂r

(r∂u∂r

(r , t)).

[email protected] MATH 461 – Chapter 5 11

Page 26: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

We assume u(r , t) = ϕ(r)T (t) and apply separation of variables to

∂u∂t

(r , t) =kr∂

∂r

(r∂u∂r

(r , t))

to get

ϕ(r)T ′(t) =kr

ddr(rϕ′(r)T (t)

)or

1k

T ′(t)T (t)

=1

rϕ(r)ddr(rϕ′(r)

)= −λ.

[email protected] MATH 461 – Chapter 5 12

Page 27: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

We assume u(r , t) = ϕ(r)T (t) and apply separation of variables to

∂u∂t

(r , t) =kr∂

∂r

(r∂u∂r

(r , t))

to get

ϕ(r)T ′(t) =kr

ddr(rϕ′(r)T (t)

)or

1k

T ′(t)T (t)

=1

rϕ(r)ddr(rϕ′(r)

)= −λ.

[email protected] MATH 461 – Chapter 5 12

Page 28: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

From1k

T ′(t)T (t)

=1

rϕ(r)ddr(rϕ′(r)

)= −λ

we see that the ODE for the spatial (radial) BVP problem is

ddr(rϕ′(r)

)+ λrϕ(r) = 0.

Again, we don’t yet know how to solve this ODE. Contrary to theprevious problem, this equation can be solved using Bessel functions(more later).

In earlier work (see Chapter 2.5) we encountered the steady-statesolution of this equation, i.e., Laplace’s equation.Potential BCs therefore are:

On an annulus, with BCs u(a, t) = u(b, t) = 0 or ϕ(a) = ϕ(b) = 0.On a circular disk, with BCs u(b, t) = 0 and |u(0, t)| <∞, i.e.,ϕ(b) = 0 and |ϕ(0)| <∞.

[email protected] MATH 461 – Chapter 5 13

Page 29: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

From1k

T ′(t)T (t)

=1

rϕ(r)ddr(rϕ′(r)

)= −λ

we see that the ODE for the spatial (radial) BVP problem is

ddr(rϕ′(r)

)+ λrϕ(r) = 0.

Again, we don’t yet know how to solve this ODE. Contrary to theprevious problem, this equation can be solved using Bessel functions(more later).

In earlier work (see Chapter 2.5) we encountered the steady-statesolution of this equation, i.e., Laplace’s equation.Potential BCs therefore are:

On an annulus, with BCs u(a, t) = u(b, t) = 0 or ϕ(a) = ϕ(b) = 0.On a circular disk, with BCs u(b, t) = 0 and |u(0, t)| <∞, i.e.,ϕ(b) = 0 and |ϕ(0)| <∞.

[email protected] MATH 461 – Chapter 5 13

Page 30: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

From1k

T ′(t)T (t)

=1

rϕ(r)ddr(rϕ′(r)

)= −λ

we see that the ODE for the spatial (radial) BVP problem is

ddr(rϕ′(r)

)+ λrϕ(r) = 0.

Again, we don’t yet know how to solve this ODE. Contrary to theprevious problem, this equation can be solved using Bessel functions(more later).

In earlier work (see Chapter 2.5) we encountered the steady-statesolution of this equation, i.e., Laplace’s equation.

Potential BCs therefore are:On an annulus, with BCs u(a, t) = u(b, t) = 0 or ϕ(a) = ϕ(b) = 0.On a circular disk, with BCs u(b, t) = 0 and |u(0, t)| <∞, i.e.,ϕ(b) = 0 and |ϕ(0)| <∞.

[email protected] MATH 461 – Chapter 5 13

Page 31: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Examples

From1k

T ′(t)T (t)

=1

rϕ(r)ddr(rϕ′(r)

)= −λ

we see that the ODE for the spatial (radial) BVP problem is

ddr(rϕ′(r)

)+ λrϕ(r) = 0.

Again, we don’t yet know how to solve this ODE. Contrary to theprevious problem, this equation can be solved using Bessel functions(more later).

In earlier work (see Chapter 2.5) we encountered the steady-statesolution of this equation, i.e., Laplace’s equation.Potential BCs therefore are:

On an annulus, with BCs u(a, t) = u(b, t) = 0 or ϕ(a) = ϕ(b) = 0.On a circular disk, with BCs u(b, t) = 0 and |u(0, t)| <∞, i.e.,ϕ(b) = 0 and |ϕ(0)| <∞.

[email protected] MATH 461 – Chapter 5 13

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Sturm–Liouville Eigenvalue Problems

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 14

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Sturm–Liouville Eigenvalue Problems

A general form of an ODE that captures all of the examples discussedso far is the Sturm–Liouville differential equation

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0

with given coefficient functions p, q and σ, and parameter λ.

We now show how this equation covers all of our examples.

[email protected] MATH 461 – Chapter 5 15

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Sturm–Liouville Eigenvalue Problems

A general form of an ODE that captures all of the examples discussedso far is the Sturm–Liouville differential equation

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0

with given coefficient functions p, q and σ, and parameter λ.

We now show how this equation covers all of our examples.

[email protected] MATH 461 – Chapter 5 15

Page 35: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

Example

If we let p(x) = 1, q(x) = 0 and σ(x) = 1 in

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0

we getϕ′′(x) + λϕ(x) = 0

which led to the standard Fourier series earlier.

[email protected] MATH 461 – Chapter 5 16

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Sturm–Liouville Eigenvalue Problems

Example

If we let p(x) = K0(x), q(x) = α(x) and σ(x) = c(x)ρ(x) in

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0

we get

ddx(K0(x)ϕ′(x)

)+ α(x)ϕ(x) + λc(x)ρ(x)ϕ(x) = 0

which is the ODE for the heat equation in a nonuniform rod.

[email protected] MATH 461 – Chapter 5 17

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Sturm–Liouville Eigenvalue Problems

Example

If we let p(x) = x , q(x) = 0 and σ(x) = x in

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0

and then replace x by r we get

ddr(rϕ′(r)

)+ λrϕ(r) = 0

which is the ODE for the circularly symmetric heat equation.

[email protected] MATH 461 – Chapter 5 18

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Sturm–Liouville Eigenvalue Problems

Example

If we let p(x) = T0, q(x) = α(x) and σ(x) = ρ0(x) in

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0

we getT0ϕ

′′(x) + α(x)ϕ(x) + λρ0(x)ϕ(x) = 0

which is the ODE for vibrations of a nonuniform string (see HW5.3.1).

[email protected] MATH 461 – Chapter 5 19

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Sturm–Liouville Eigenvalue Problems

Boundary Conditions

A nice summary is provided by the table on p.156 of [Haberman]:

[email protected] MATH 461 – Chapter 5 20

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Sturm–Liouville Eigenvalue Problems

Regular Sturm–Liouville Eigenvalue Problems

We will now consider the ODEd

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0, x ∈ (a,b) (2)

with boundary conditions

β1ϕ(a) + β2ϕ′(a) = 0

(3)β3ϕ(b) + β4ϕ

′(b) = 0

where the βi are real numbers.

DefinitionIf p, q, σ and p′ in (2) are real-valued and continuous on [a,b] and ifp(x) and σ(x) are positive for all x in [a,b], then (2) with (3) is called aregular Sturm–Liouville problem.

RemarkNote that the BCs don’t capture those of the periodic or singular type.

[email protected] MATH 461 – Chapter 5 21

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Sturm–Liouville Eigenvalue Problems

Regular Sturm–Liouville Eigenvalue Problems

We will now consider the ODEd

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0, x ∈ (a,b) (2)

with boundary conditions

β1ϕ(a) + β2ϕ′(a) = 0

(3)β3ϕ(b) + β4ϕ

′(b) = 0

where the βi are real numbers.

DefinitionIf p, q, σ and p′ in (2) are real-valued and continuous on [a,b] and ifp(x) and σ(x) are positive for all x in [a,b], then (2) with (3) is called aregular Sturm–Liouville problem.

RemarkNote that the BCs don’t capture those of the periodic or singular type.

[email protected] MATH 461 – Chapter 5 21

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Sturm–Liouville Eigenvalue Problems

Regular Sturm–Liouville Eigenvalue Problems

We will now consider the ODEd

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0, x ∈ (a,b) (2)

with boundary conditions

β1ϕ(a) + β2ϕ′(a) = 0

(3)β3ϕ(b) + β4ϕ

′(b) = 0

where the βi are real numbers.

DefinitionIf p, q, σ and p′ in (2) are real-valued and continuous on [a,b] and ifp(x) and σ(x) are positive for all x in [a,b], then (2) with (3) is called aregular Sturm–Liouville problem.

RemarkNote that the BCs don’t capture those of the periodic or singular type.

[email protected] MATH 461 – Chapter 5 21

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Sturm–Liouville Eigenvalue Problems

Facts for Regular Sturm–Liouville Problems

We pick the well-known example

ϕ′′(x) + λϕ(x) = 0ϕ(0) = ϕ(L) = 0

with eigenvalues λn =(nπ

L

)2 and eigenfunctions ϕn(x) = sin nπxL ,

n = 1,2,3, . . . to illustrate the following facts which hold for all regularSturm–Liouville problems.

Later we will study the properties and prove that they hold in moregenerality.

[email protected] MATH 461 – Chapter 5 22

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Sturm–Liouville Eigenvalue Problems

Facts for Regular Sturm–Liouville Problems

We pick the well-known example

ϕ′′(x) + λϕ(x) = 0ϕ(0) = ϕ(L) = 0

with eigenvalues λn =(nπ

L

)2 and eigenfunctions ϕn(x) = sin nπxL ,

n = 1,2,3, . . . to illustrate the following facts which hold for all regularSturm–Liouville problems.

Later we will study the properties and prove that they hold in moregenerality.

[email protected] MATH 461 – Chapter 5 22

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Sturm–Liouville Eigenvalue Problems

1 All eigenvalues of a regular SL problem are real.

For our example, obviously λn =(nπ

L

)2 is real for any value of theinteger n.

RemarkThis property ensures that when we search for eigenvalues of aregular SL problem it suffices to consider the three cases

λ > 0, λ = 0 and λ < 0.

Complex values of λ are not possible.

We will later prove this fact.

[email protected] MATH 461 – Chapter 5 23

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Sturm–Liouville Eigenvalue Problems

1 All eigenvalues of a regular SL problem are real.For our example, obviously λn =

(nπL

)2 is real for any value of theinteger n.

RemarkThis property ensures that when we search for eigenvalues of aregular SL problem it suffices to consider the three cases

λ > 0, λ = 0 and λ < 0.

Complex values of λ are not possible.

We will later prove this fact.

[email protected] MATH 461 – Chapter 5 23

Page 47: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

1 All eigenvalues of a regular SL problem are real.For our example, obviously λn =

(nπL

)2 is real for any value of theinteger n.

RemarkThis property ensures that when we search for eigenvalues of aregular SL problem it suffices to consider the three cases

λ > 0, λ = 0 and λ < 0.

Complex values of λ are not possible.

We will later prove this fact.

[email protected] MATH 461 – Chapter 5 23

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Sturm–Liouville Eigenvalue Problems

1 All eigenvalues of a regular SL problem are real.For our example, obviously λn =

(nπL

)2 is real for any value of theinteger n.

RemarkThis property ensures that when we search for eigenvalues of aregular SL problem it suffices to consider the three cases

λ > 0, λ = 0 and λ < 0.

Complex values of λ are not possible.

We will later prove this fact.

[email protected] MATH 461 – Chapter 5 23

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Sturm–Liouville Eigenvalue Problems

2 Every regular SL problem has infinitely many eigenvalues whichcan be strictly ordered (after a possible renumbering)

λ1 < λ2 < λ3 < . . .

For our example, clearly λn =(nπ

L

)2 satisfy this property. We have

λ1 =π2

L2 and λn →∞ as n→∞.

We will not prove this fact.

[email protected] MATH 461 – Chapter 5 24

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Sturm–Liouville Eigenvalue Problems

2 Every regular SL problem has infinitely many eigenvalues whichcan be strictly ordered (after a possible renumbering)

λ1 < λ2 < λ3 < . . .

For our example, clearly λn =(nπ

L

)2 satisfy this property. We have

λ1 =π2

L2 and λn →∞ as n→∞.

We will not prove this fact.

[email protected] MATH 461 – Chapter 5 24

Page 51: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

2 Every regular SL problem has infinitely many eigenvalues whichcan be strictly ordered (after a possible renumbering)

λ1 < λ2 < λ3 < . . .

For our example, clearly λn =(nπ

L

)2 satisfy this property. We have

λ1 =π2

L2 and λn →∞ as n→∞.

We will not prove this fact.

[email protected] MATH 461 – Chapter 5 24

Page 52: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

3 Every eigenvalue λn of a regular SL problem has an associatedeigenfunction ϕn which is unique up to a constant factor.

Moreover, ϕn has exactly n − 1 zeros in the open interval (a,b).For our example, λn =

(nπL

)2 is uniquely associated withϕn(x) = sin nπx

L which has n − 1 zeros in (0,L).

We will later prove the first part of this fact.

[email protected] MATH 461 – Chapter 5 25

Page 53: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

3 Every eigenvalue λn of a regular SL problem has an associatedeigenfunction ϕn which is unique up to a constant factor.Moreover, ϕn has exactly n − 1 zeros in the open interval (a,b).

For our example, λn =(nπ

L

)2 is uniquely associated withϕn(x) = sin nπx

L which has n − 1 zeros in (0,L).

We will later prove the first part of this fact.

[email protected] MATH 461 – Chapter 5 25

Page 54: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

3 Every eigenvalue λn of a regular SL problem has an associatedeigenfunction ϕn which is unique up to a constant factor.Moreover, ϕn has exactly n − 1 zeros in the open interval (a,b).For our example, λn =

(nπL

)2 is uniquely associated withϕn(x) = sin nπx

L which has n − 1 zeros in (0,L).

We will later prove the first part of this fact.

[email protected] MATH 461 – Chapter 5 25

Page 55: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

3 Every eigenvalue λn of a regular SL problem has an associatedeigenfunction ϕn which is unique up to a constant factor.Moreover, ϕn has exactly n − 1 zeros in the open interval (a,b).For our example, λn =

(nπL

)2 is uniquely associated withϕn(x) = sin nπx

L which has n − 1 zeros in (0,L).

Figure: ϕ1(x) = sin πxL has no zeros in (0,L).

We will later prove the first part of this fact.

[email protected] MATH 461 – Chapter 5 25

Page 56: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

3 Every eigenvalue λn of a regular SL problem has an associatedeigenfunction ϕn which is unique up to a constant factor.Moreover, ϕn has exactly n − 1 zeros in the open interval (a,b).For our example, λn =

(nπL

)2 is uniquely associated withϕn(x) = sin nπx

L which has n − 1 zeros in (0,L).

Figure: ϕ2(x) = sin 2πxL has one zero in (0,L).

We will later prove the first part of this fact.

[email protected] MATH 461 – Chapter 5 25

Page 57: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

3 Every eigenvalue λn of a regular SL problem has an associatedeigenfunction ϕn which is unique up to a constant factor.Moreover, ϕn has exactly n − 1 zeros in the open interval (a,b).For our example, λn =

(nπL

)2 is uniquely associated withϕn(x) = sin nπx

L which has n − 1 zeros in (0,L).

Figure: ϕ3(x) = sin 3πxL has two zeros in (0,L).

We will later prove the first part of this fact.

[email protected] MATH 461 – Chapter 5 25

Page 58: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

3 Every eigenvalue λn of a regular SL problem has an associatedeigenfunction ϕn which is unique up to a constant factor.Moreover, ϕn has exactly n − 1 zeros in the open interval (a,b).For our example, λn =

(nπL

)2 is uniquely associated withϕn(x) = sin nπx

L which has n − 1 zeros in (0,L).

Figure: ϕ3(x) = sin 3πxL has two zeros in (0,L).

We will later prove the first part of this fact.

[email protected] MATH 461 – Chapter 5 25

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Sturm–Liouville Eigenvalue Problems

4 The set of eigenfunctions, {ϕn}∞n=1, of a regular SL problem iscomplete,

i.e., any piecewise smooth function f can berepresented by a generalized Fourier series (or eigenfunctionexpansion)

f (x) ∼∞∑

n=1

anϕn(x)

which converges to 12 [f (x+) + f (x−)] for a < x < b.

The generalized Fourier coefficients an are addressed below inproperty 5.For our example, we have the Fourier sine series

f (x) ∼∞∑

n=1

an sinnπx

L

with the stated convergence properties.We do not prove the completeness claim.

[email protected] MATH 461 – Chapter 5 26

Page 60: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

4 The set of eigenfunctions, {ϕn}∞n=1, of a regular SL problem iscomplete, i.e., any piecewise smooth function f can berepresented by a generalized Fourier series (or eigenfunctionexpansion)

f (x) ∼∞∑

n=1

anϕn(x)

which converges to 12 [f (x+) + f (x−)] for a < x < b.

The generalized Fourier coefficients an are addressed below inproperty 5.For our example, we have the Fourier sine series

f (x) ∼∞∑

n=1

an sinnπx

L

with the stated convergence properties.We do not prove the completeness claim.

[email protected] MATH 461 – Chapter 5 26

Page 61: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

4 The set of eigenfunctions, {ϕn}∞n=1, of a regular SL problem iscomplete, i.e., any piecewise smooth function f can berepresented by a generalized Fourier series (or eigenfunctionexpansion)

f (x) ∼∞∑

n=1

anϕn(x)

which converges to 12 [f (x+) + f (x−)] for a < x < b.

The generalized Fourier coefficients an are addressed below inproperty 5.

For our example, we have the Fourier sine series

f (x) ∼∞∑

n=1

an sinnπx

L

with the stated convergence properties.We do not prove the completeness claim.

[email protected] MATH 461 – Chapter 5 26

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Sturm–Liouville Eigenvalue Problems

4 The set of eigenfunctions, {ϕn}∞n=1, of a regular SL problem iscomplete, i.e., any piecewise smooth function f can berepresented by a generalized Fourier series (or eigenfunctionexpansion)

f (x) ∼∞∑

n=1

anϕn(x)

which converges to 12 [f (x+) + f (x−)] for a < x < b.

The generalized Fourier coefficients an are addressed below inproperty 5.For our example, we have the Fourier sine series

f (x) ∼∞∑

n=1

an sinnπx

L

with the stated convergence properties.

We do not prove the completeness claim.

[email protected] MATH 461 – Chapter 5 26

Page 63: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

4 The set of eigenfunctions, {ϕn}∞n=1, of a regular SL problem iscomplete, i.e., any piecewise smooth function f can berepresented by a generalized Fourier series (or eigenfunctionexpansion)

f (x) ∼∞∑

n=1

anϕn(x)

which converges to 12 [f (x+) + f (x−)] for a < x < b.

The generalized Fourier coefficients an are addressed below inproperty 5.For our example, we have the Fourier sine series

f (x) ∼∞∑

n=1

an sinnπx

L

with the stated convergence properties.We do not prove the completeness claim.

[email protected] MATH 461 – Chapter 5 26

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Sturm–Liouville Eigenvalue Problems

5 The eigenfunctions associated with different eigenvalues of aregular SL problem are orthogonal on (a,b) with respect to theweight σ,

i.e.,∫ b

aϕn(x)ϕm(x)σ(x)dx = 0 provided λn 6= λm.

For our example (where σ(x) = 1) we have∫ L

0sin

nπxL

sinmπx

Ldx =

{0 provided n 6= m,L2 if n = m.

These orthogonality relations give us the generalized Fouriercoefficients.We will later prove this fact.

[email protected] MATH 461 – Chapter 5 27

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Sturm–Liouville Eigenvalue Problems

5 The eigenfunctions associated with different eigenvalues of aregular SL problem are orthogonal on (a,b) with respect to theweight σ, i.e.,∫ b

aϕn(x)ϕm(x)σ(x)dx = 0 provided λn 6= λm.

For our example (where σ(x) = 1) we have∫ L

0sin

nπxL

sinmπx

Ldx =

{0 provided n 6= m,L2 if n = m.

These orthogonality relations give us the generalized Fouriercoefficients.We will later prove this fact.

[email protected] MATH 461 – Chapter 5 27

Page 66: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

5 The eigenfunctions associated with different eigenvalues of aregular SL problem are orthogonal on (a,b) with respect to theweight σ, i.e.,∫ b

aϕn(x)ϕm(x)σ(x)dx = 0 provided λn 6= λm.

For our example (where σ(x) = 1) we have∫ L

0sin

nπxL

sinmπx

Ldx =

{0 provided n 6= m,L2 if n = m.

These orthogonality relations give us the generalized Fouriercoefficients.We will later prove this fact.

[email protected] MATH 461 – Chapter 5 27

Page 67: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

5 The eigenfunctions associated with different eigenvalues of aregular SL problem are orthogonal on (a,b) with respect to theweight σ, i.e.,∫ b

aϕn(x)ϕm(x)σ(x)dx = 0 provided λn 6= λm.

For our example (where σ(x) = 1) we have∫ L

0sin

nπxL

sinmπx

Ldx =

{0 provided n 6= m,L2 if n = m.

These orthogonality relations give us the generalized Fouriercoefficients.

We will later prove this fact.

[email protected] MATH 461 – Chapter 5 27

Page 68: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

Sturm–Liouville Eigenvalue Problems

5 The eigenfunctions associated with different eigenvalues of aregular SL problem are orthogonal on (a,b) with respect to theweight σ, i.e.,∫ b

aϕn(x)ϕm(x)σ(x)dx = 0 provided λn 6= λm.

For our example (where σ(x) = 1) we have∫ L

0sin

nπxL

sinmπx

Ldx =

{0 provided n 6= m,L2 if n = m.

These orthogonality relations give us the generalized Fouriercoefficients.We will later prove this fact.

[email protected] MATH 461 – Chapter 5 27

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Sturm–Liouville Eigenvalue Problems

In order to derive the formula for the generalized Fourier coefficientswe begin with the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

Next, we multiply both sides by ϕm(x)σ(x) and integrate from a to b(assuming we can interchange infinite summation and integration):

Therefore ∫ b

af (x)ϕm(x)σ(x)dx = am

∫ b

aϕ2

m(x)σ(x)dx

or

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 28

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Sturm–Liouville Eigenvalue Problems

In order to derive the formula for the generalized Fourier coefficientswe begin with the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

Next, we multiply both sides by ϕm(x)σ(x) and integrate from a to b(assuming we can interchange infinite summation and integration):

Therefore ∫ b

af (x)ϕm(x)σ(x)dx = am

∫ b

aϕ2

m(x)σ(x)dx

or

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 28

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Sturm–Liouville Eigenvalue Problems

In order to derive the formula for the generalized Fourier coefficientswe begin with the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

Next, we multiply both sides by ϕm(x)σ(x) and integrate from a to b(assuming we can interchange infinite summation and integration):∫ b

af (x)ϕm(x)σ(x)dx =

∞∑n=1

an

∫ b

aϕn(x)ϕm(x)σ(x)dx

Therefore ∫ b

af (x)ϕm(x)σ(x)dx = am

∫ b

aϕ2

m(x)σ(x)dx

or

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 28

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Sturm–Liouville Eigenvalue Problems

In order to derive the formula for the generalized Fourier coefficientswe begin with the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

Next, we multiply both sides by ϕm(x)σ(x) and integrate from a to b(assuming we can interchange infinite summation and integration):∫ b

af (x)ϕm(x)σ(x)dx =

∞∑n=1

an

∫ b

aϕn(x)ϕm(x)σ(x)dx︸ ︷︷ ︸6=0 only if n=m

Therefore ∫ b

af (x)ϕm(x)σ(x)dx = am

∫ b

aϕ2

m(x)σ(x)dx

or

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 28

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Sturm–Liouville Eigenvalue Problems

In order to derive the formula for the generalized Fourier coefficientswe begin with the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

Next, we multiply both sides by ϕm(x)σ(x) and integrate from a to b(assuming we can interchange infinite summation and integration):∫ b

af (x)ϕm(x)σ(x)dx =

∞∑n=1

an

∫ b

aϕn(x)ϕm(x)σ(x)dx︸ ︷︷ ︸6=0 only if n=m

Therefore ∫ b

af (x)ϕm(x)σ(x)dx = am

∫ b

aϕ2

m(x)σ(x)dx

or

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 28

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Sturm–Liouville Eigenvalue Problems

In order to derive the formula for the generalized Fourier coefficientswe begin with the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

Next, we multiply both sides by ϕm(x)σ(x) and integrate from a to b(assuming we can interchange infinite summation and integration):∫ b

af (x)ϕm(x)σ(x)dx =

∞∑n=1

an

∫ b

aϕn(x)ϕm(x)σ(x)dx︸ ︷︷ ︸6=0 only if n=m

Therefore ∫ b

af (x)ϕm(x)σ(x)dx = am

∫ b

aϕ2

m(x)σ(x)dx

or

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 28

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Sturm–Liouville Eigenvalue Problems

RemarkNote that the formula

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

, n = 1,2,3, . . .

for the generalized Fourier coefficients is well-defined, i.e., thedenominator ∫ b

aϕ2

n(x)σ(x)dx 6= 0

sincefor a regular SL problem we demanded that σ(x) > 0 on [a,b]and we always have ϕ2

n(x) ≥ 0. In fact, we know that ϕn 6≡ 0 dueto the properties of its zeros (see fact 3).

[email protected] MATH 461 – Chapter 5 29

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Sturm–Liouville Eigenvalue Problems

RemarkNote that the formula

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

, n = 1,2,3, . . .

for the generalized Fourier coefficients is well-defined, i.e., thedenominator ∫ b

aϕ2

n(x)σ(x)dx 6= 0

sincefor a regular SL problem we demanded that σ(x) > 0 on [a,b]and we always have ϕ2

n(x) ≥ 0. In fact, we know that ϕn 6≡ 0 dueto the properties of its zeros (see fact 3).

[email protected] MATH 461 – Chapter 5 29

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Sturm–Liouville Eigenvalue Problems

6 The Rayleigh quotient provides a way to express the eigenvaluesof a regular SL problem in terms of their associatedeigenfunctions:

λ =− p(x)ϕ(x)ϕ′(x)|ba +

∫ ba

(p(x) [ϕ′(x)]2 − q(x)ϕ2(x)

)dx∫ b

a ϕ2(x)σ(x)dx

The Rayleigh quotient is obtained by integrating the SL-ODE byparts.

We will prove this fact in Chapter 5.6.

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Sturm–Liouville Eigenvalue Problems

6 The Rayleigh quotient provides a way to express the eigenvaluesof a regular SL problem in terms of their associatedeigenfunctions:

λ =− p(x)ϕ(x)ϕ′(x)|ba +

∫ ba

(p(x) [ϕ′(x)]2 − q(x)ϕ2(x)

)dx∫ b

a ϕ2(x)σ(x)dx

The Rayleigh quotient is obtained by integrating the SL-ODE byparts.

We will prove this fact in Chapter 5.6.

[email protected] MATH 461 – Chapter 5 30

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Sturm–Liouville Eigenvalue Problems

6 The Rayleigh quotient provides a way to express the eigenvaluesof a regular SL problem in terms of their associatedeigenfunctions:

λ =− p(x)ϕ(x)ϕ′(x)|ba +

∫ ba

(p(x) [ϕ′(x)]2 − q(x)ϕ2(x)

)dx∫ b

a ϕ2(x)σ(x)dx

The Rayleigh quotient is obtained by integrating the SL-ODE byparts.

We will prove this fact in Chapter 5.6.

[email protected] MATH 461 – Chapter 5 30

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Sturm–Liouville Eigenvalue Problems

In our example, we have p(x) = 1, q(x) = 0, σ(x) = 1, a = 0 andb = L, so that

λ =− ϕ(x)ϕ′(x)|L0 +

∫ L0 [ϕ′(x)]2 dx∫ L

0 ϕ2(x)dx

.

Using the boundary conditions ϕ(0) = ϕ(L) = 0 we get

λ =

∫ L0 [ϕ′(x)]2 dx∫ L

0 ϕ2(x)dx

.

RemarkNote that this formula gives us information about the relationshipbetween the eigenvalue and eigenfunction – even though in generalneither λ nor ϕ is known.

[email protected] MATH 461 – Chapter 5 31

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Sturm–Liouville Eigenvalue Problems

In our example, we have p(x) = 1, q(x) = 0, σ(x) = 1, a = 0 andb = L, so that

λ =− ϕ(x)ϕ′(x)|L0 +

∫ L0 [ϕ′(x)]2 dx∫ L

0 ϕ2(x)dx

.

Using the boundary conditions ϕ(0) = ϕ(L) = 0 we get

λ =

∫ L0 [ϕ′(x)]2 dx∫ L

0 ϕ2(x)dx

.

RemarkNote that this formula gives us information about the relationshipbetween the eigenvalue and eigenfunction – even though in generalneither λ nor ϕ is known.

[email protected] MATH 461 – Chapter 5 31

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Sturm–Liouville Eigenvalue Problems

In our example, we have p(x) = 1, q(x) = 0, σ(x) = 1, a = 0 andb = L, so that

λ =− ϕ(x)ϕ′(x)|L0 +

∫ L0 [ϕ′(x)]2 dx∫ L

0 ϕ2(x)dx

.

Using the boundary conditions ϕ(0) = ϕ(L) = 0 we get

λ =

∫ L0 [ϕ′(x)]2 dx∫ L

0 ϕ2(x)dx

.

RemarkNote that this formula gives us information about the relationshipbetween the eigenvalue and eigenfunction – even though in generalneither λ nor ϕ is known.

[email protected] MATH 461 – Chapter 5 31

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Sturm–Liouville Eigenvalue Problems

For example, sinceϕ2(x) ≥ 0,ϕ 6≡ 0, and[ϕ′(x)]2 ≥ 0

we can conclude from the Rayleigh quotient

λ =

∫ L0 [ϕ′(x)]2 dx∫ L

0 ϕ2(x)dx

,

i.e., for our example, that λ ≥ 0

Therefore, the Rayleigh quotient shows – without any detailedcalculations – that our example can not have any negative eigenvalues.

[email protected] MATH 461 – Chapter 5 32

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Sturm–Liouville Eigenvalue Problems

For example, sinceϕ2(x) ≥ 0,ϕ 6≡ 0, and[ϕ′(x)]2 ≥ 0

we can conclude from the Rayleigh quotient

λ =

∫ L0 [ϕ′(x)]2 dx∫ L

0 ϕ2(x)dx

,

i.e., for our example, that λ ≥ 0Therefore, the Rayleigh quotient shows – without any detailedcalculations – that our example can not have any negative eigenvalues.

[email protected] MATH 461 – Chapter 5 32

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Sturm–Liouville Eigenvalue Problems

Moreover, we can also conclude that λ = 0 is not possible for ourexample.

If we had λ = 0 then the Rayleigh quotient would imply∫ L

0

[ϕ′(x)

]2 dx = 0

orϕ′(x) = 0 for all x in [0,L] =⇒ ϕ(x) = const.

However, the BCs ϕ(0) = ϕ(L) = 0 would then imply ϕ ≡ 0, but this isnot an eigenfunction, and so λ = 0 is not an eigenvalue.

[email protected] MATH 461 – Chapter 5 33

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Sturm–Liouville Eigenvalue Problems

Moreover, we can also conclude that λ = 0 is not possible for ourexample.If we had λ = 0 then the Rayleigh quotient would imply∫ L

0

[ϕ′(x)

]2 dx = 0

orϕ′(x) = 0 for all x in [0,L] =⇒ ϕ(x) = const.

However, the BCs ϕ(0) = ϕ(L) = 0 would then imply ϕ ≡ 0, but this isnot an eigenfunction, and so λ = 0 is not an eigenvalue.

[email protected] MATH 461 – Chapter 5 33

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Sturm–Liouville Eigenvalue Problems

Moreover, we can also conclude that λ = 0 is not possible for ourexample.If we had λ = 0 then the Rayleigh quotient would imply∫ L

0

[ϕ′(x)

]2 dx = 0

orϕ′(x) = 0 for all x in [0,L] =⇒ ϕ(x) = const.

However, the BCs ϕ(0) = ϕ(L) = 0 would then imply ϕ ≡ 0, but this isnot an eigenfunction, and so λ = 0 is not an eigenvalue.

[email protected] MATH 461 – Chapter 5 33

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Sturm–Liouville Eigenvalue Problems

Moreover, we can also conclude that λ = 0 is not possible for ourexample.If we had λ = 0 then the Rayleigh quotient would imply∫ L

0

[ϕ′(x)

]2 dx = 0

orϕ′(x) = 0 for all x in [0,L] =⇒ ϕ(x) = const.

However, the BCs ϕ(0) = ϕ(L) = 0 would then imply ϕ ≡ 0, but this isnot an eigenfunction, and so λ = 0 is not an eigenvalue.

[email protected] MATH 461 – Chapter 5 33

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Heat Flow in a Nonuniform Rod without Sources

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 34

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Heat Flow in a Nonuniform Rod without Sources

As discussed at the beginning of this chapter, the PDE used to modelheat flow in a 1D rod without sources (i.e., Q(x , t) = 0) is

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t)).

We add boundary conditions

u(0, t) = 0 and∂u∂x

(L, t) = 0

to model fixed temperature zero at the left end and perfect insulation atx = L.The initial temperature is

u(x ,0) = f (x).

Note that this corresponds to (1) studied earlier with α(x) = 0, andtherefore we will use separation of variables.

[email protected] MATH 461 – Chapter 5 35

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Heat Flow in a Nonuniform Rod without Sources

As discussed at the beginning of this chapter, the PDE used to modelheat flow in a 1D rod without sources (i.e., Q(x , t) = 0) is

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t)).

We add boundary conditions

u(0, t) = 0 and∂u∂x

(L, t) = 0

to model fixed temperature zero at the left end and perfect insulation atx = L.

The initial temperature is

u(x ,0) = f (x).

Note that this corresponds to (1) studied earlier with α(x) = 0, andtherefore we will use separation of variables.

[email protected] MATH 461 – Chapter 5 35

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Heat Flow in a Nonuniform Rod without Sources

As discussed at the beginning of this chapter, the PDE used to modelheat flow in a 1D rod without sources (i.e., Q(x , t) = 0) is

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t)).

We add boundary conditions

u(0, t) = 0 and∂u∂x

(L, t) = 0

to model fixed temperature zero at the left end and perfect insulation atx = L.The initial temperature is

u(x ,0) = f (x).

Note that this corresponds to (1) studied earlier with α(x) = 0, andtherefore we will use separation of variables.

[email protected] MATH 461 – Chapter 5 35

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Heat Flow in a Nonuniform Rod without Sources

As discussed at the beginning of this chapter, the PDE used to modelheat flow in a 1D rod without sources (i.e., Q(x , t) = 0) is

c(x)ρ(x)∂u∂t

(x , t) =∂

∂x

(K0(x)

∂u∂x

(x , t)).

We add boundary conditions

u(0, t) = 0 and∂u∂x

(L, t) = 0

to model fixed temperature zero at the left end and perfect insulation atx = L.The initial temperature is

u(x ,0) = f (x).

Note that this corresponds to (1) studied earlier with α(x) = 0, andtherefore we will use separation of variables.

[email protected] MATH 461 – Chapter 5 35

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Heat Flow in a Nonuniform Rod without Sources

The Ansatz u(x , t) = ϕ(x)T (t) gives us the two ODEs

T ′(t) = −λT (t) (4)

andd

dx(K0(x)ϕ′(x)

)+ λc(x)ρ(x)ϕ(x) = 0. (5)

The boundary conditions for (5) are

ϕ(0) = 0 and ϕ′(L) = 0. (6)

We also know that solutions of (4) are given by

Tn(t) = c1e−λnt ,

where λn, n = 1,2,3, . . ., are the eigenvalues of the Sturm–Liouvilleproblem (5)-(6).

[email protected] MATH 461 – Chapter 5 36

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Heat Flow in a Nonuniform Rod without Sources

The Ansatz u(x , t) = ϕ(x)T (t) gives us the two ODEs

T ′(t) = −λT (t) (4)

andd

dx(K0(x)ϕ′(x)

)+ λc(x)ρ(x)ϕ(x) = 0. (5)

The boundary conditions for (5) are

ϕ(0) = 0 and ϕ′(L) = 0. (6)

We also know that solutions of (4) are given by

Tn(t) = c1e−λnt ,

where λn, n = 1,2,3, . . ., are the eigenvalues of the Sturm–Liouvilleproblem (5)-(6).

[email protected] MATH 461 – Chapter 5 36

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Heat Flow in a Nonuniform Rod without Sources

The Ansatz u(x , t) = ϕ(x)T (t) gives us the two ODEs

T ′(t) = −λT (t) (4)

andd

dx(K0(x)ϕ′(x)

)+ λc(x)ρ(x)ϕ(x) = 0. (5)

The boundary conditions for (5) are

ϕ(0) = 0 and ϕ′(L) = 0. (6)

We also know that solutions of (4) are given by

Tn(t) = c1e−λnt ,

where λn, n = 1,2,3, . . ., are the eigenvalues of the Sturm–Liouvilleproblem (5)-(6).

[email protected] MATH 461 – Chapter 5 36

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Heat Flow in a Nonuniform Rod without Sources

Note that the boundary value problem (5)-(6)

ddx (K0(x)ϕ′(x)) + λc(x)ρ(x)ϕ(x) = 0

ϕ(0) = 0 and ϕ′(L) = 0

is indeed a regular Sturm–Liouville problem:

p(x) = K0(x), the thermal conductivity, is positive, real-valued andcontinuous on [0,L],q(x) = 0, so it is also real-valued and continuous on [0,L],σ(x) = c(x)ρ(x), the product of specific heat and density, ispositive, real-valued and continuous on [0,L], andp′(x) = K ′0(x) is real-valued and (hopefully) continuous on [0,L].

RemarkNote that the above assertions are true only for “nice enough”functions K0, c and ρ.

[email protected] MATH 461 – Chapter 5 37

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Heat Flow in a Nonuniform Rod without Sources

Note that the boundary value problem (5)-(6)

ddx (K0(x)ϕ′(x)) + λc(x)ρ(x)ϕ(x) = 0

ϕ(0) = 0 and ϕ′(L) = 0

is indeed a regular Sturm–Liouville problem:p(x) = K0(x), the thermal conductivity, is positive, real-valued andcontinuous on [0,L],q(x) = 0, so it is also real-valued and continuous on [0,L],σ(x) = c(x)ρ(x), the product of specific heat and density, ispositive, real-valued and continuous on [0,L], andp′(x) = K ′0(x) is real-valued and (hopefully) continuous on [0,L].

RemarkNote that the above assertions are true only for “nice enough”functions K0, c and ρ.

[email protected] MATH 461 – Chapter 5 37

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Heat Flow in a Nonuniform Rod without Sources

Note that the boundary value problem (5)-(6)

ddx (K0(x)ϕ′(x)) + λc(x)ρ(x)ϕ(x) = 0

ϕ(0) = 0 and ϕ′(L) = 0

is indeed a regular Sturm–Liouville problem:p(x) = K0(x), the thermal conductivity, is positive, real-valued andcontinuous on [0,L],q(x) = 0, so it is also real-valued and continuous on [0,L],σ(x) = c(x)ρ(x), the product of specific heat and density, ispositive, real-valued and continuous on [0,L], andp′(x) = K ′0(x) is real-valued and (hopefully) continuous on [0,L].

RemarkNote that the above assertions are true only for “nice enough”functions K0, c and ρ.

[email protected] MATH 461 – Chapter 5 37

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Heat Flow in a Nonuniform Rod without Sources

The boundary value problem

ddx (K0(x)ϕ′(x)) + λc(x)ρ(x)ϕ(x) = 0

ϕ(0) = 0 and ϕ′(L) = 0

is quite a bit more complicated than the eigenvalue problems westudied earlier and for general K0, c and ρ an analytical solution doesnot exist.

Instead, we use the properties of regular Sturm–Liouvilleproblems to obtain as much qualitative information about thesolution u as possible.One could use numerical methods to find approximateeigenvalues and eigenfunctions.

[email protected] MATH 461 – Chapter 5 38

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Heat Flow in a Nonuniform Rod without Sources

The boundary value problem

ddx (K0(x)ϕ′(x)) + λc(x)ρ(x)ϕ(x) = 0

ϕ(0) = 0 and ϕ′(L) = 0

is quite a bit more complicated than the eigenvalue problems westudied earlier and for general K0, c and ρ an analytical solution doesnot exist.

Instead, we use the properties of regular Sturm–Liouvilleproblems to obtain as much qualitative information about thesolution u as possible.

One could use numerical methods to find approximateeigenvalues and eigenfunctions.

[email protected] MATH 461 – Chapter 5 38

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Heat Flow in a Nonuniform Rod without Sources

The boundary value problem

ddx (K0(x)ϕ′(x)) + λc(x)ρ(x)ϕ(x) = 0

ϕ(0) = 0 and ϕ′(L) = 0

is quite a bit more complicated than the eigenvalue problems westudied earlier and for general K0, c and ρ an analytical solution doesnot exist.

Instead, we use the properties of regular Sturm–Liouvilleproblems to obtain as much qualitative information about thesolution u as possible.One could use numerical methods to find approximateeigenvalues and eigenfunctions.

[email protected] MATH 461 – Chapter 5 38

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Heat Flow in a Nonuniform Rod without Sources

From the general Sturm–Liouville properties we know:1. & 2. There are infinitely many real eigenvalues satisfying

λ1 < λ2 < λ3 < . . .

3. & 4. A complete set of associated eigenfunctions {ϕn}∞n=1exists (but in general we don’t know the explicit form ofϕn).

5. The eigenfunctions are orthogonal on [0,L] with respectto the weight

σ(x) = c(x)ρ(x).

Therefore, using superposition and Tn(t) = e−λnt , the solution will beof the form

u(x , t) =∞∑

n=1

anϕn(x)e−λnt .

[email protected] MATH 461 – Chapter 5 39

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Heat Flow in a Nonuniform Rod without Sources

From the general Sturm–Liouville properties we know:1. & 2. There are infinitely many real eigenvalues satisfying

λ1 < λ2 < λ3 < . . .

3. & 4. A complete set of associated eigenfunctions {ϕn}∞n=1exists (but in general we don’t know the explicit form ofϕn).

5. The eigenfunctions are orthogonal on [0,L] with respectto the weight

σ(x) = c(x)ρ(x).

Therefore, using superposition and Tn(t) = e−λnt , the solution will beof the form

u(x , t) =∞∑

n=1

anϕn(x)e−λnt .

[email protected] MATH 461 – Chapter 5 39

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Heat Flow in a Nonuniform Rod without Sources

From the general Sturm–Liouville properties we know:1. & 2. There are infinitely many real eigenvalues satisfying

λ1 < λ2 < λ3 < . . .

3. & 4. A complete set of associated eigenfunctions {ϕn}∞n=1exists (but in general we don’t know the explicit form ofϕn).

5. The eigenfunctions are orthogonal on [0,L] with respectto the weight

σ(x) = c(x)ρ(x).

Therefore, using superposition and Tn(t) = e−λnt , the solution will beof the form

u(x , t) =∞∑

n=1

anϕn(x)e−λnt .

[email protected] MATH 461 – Chapter 5 39

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Heat Flow in a Nonuniform Rod without Sources

From the general Sturm–Liouville properties we know:1. & 2. There are infinitely many real eigenvalues satisfying

λ1 < λ2 < λ3 < . . .

3. & 4. A complete set of associated eigenfunctions {ϕn}∞n=1exists (but in general we don’t know the explicit form ofϕn).

5. The eigenfunctions are orthogonal on [0,L] with respectto the weight

σ(x) = c(x)ρ(x).

Therefore, using superposition and Tn(t) = e−λnt , the solution will beof the form

u(x , t) =∞∑

n=1

anϕn(x)e−λnt .

[email protected] MATH 461 – Chapter 5 39

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Heat Flow in a Nonuniform Rod without Sources

As we have done before, the generalized Fourier coefficients an can bedetermined using the orthogonality of the eigenfunctions and the initialcondition:

u(x ,0) =∞∑

n=1

anϕn(x)!= f (x).

Multiplication by ϕm(x)c(x)ρ(x) and integration from 0 to L yield:

Therefore

an =

∫ L0 f (x)ϕn(x)c(x)ρ(x)dx∫ L

0 ϕ2n(x)c(x)ρ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 40

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Heat Flow in a Nonuniform Rod without Sources

As we have done before, the generalized Fourier coefficients an can bedetermined using the orthogonality of the eigenfunctions and the initialcondition:

u(x ,0) =∞∑

n=1

anϕn(x)!= f (x).

Multiplication by ϕm(x)c(x)ρ(x) and integration from 0 to L yield:

Therefore

an =

∫ L0 f (x)ϕn(x)c(x)ρ(x)dx∫ L

0 ϕ2n(x)c(x)ρ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 40

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Heat Flow in a Nonuniform Rod without Sources

As we have done before, the generalized Fourier coefficients an can bedetermined using the orthogonality of the eigenfunctions and the initialcondition:

u(x ,0) =∞∑

n=1

anϕn(x)!= f (x).

Multiplication by ϕm(x)c(x)ρ(x) and integration from 0 to L yield:

∫ L

0f (x)ϕm(x)c(x)ρ(x)dx =

∞∑n=1

an

∫ L

0ϕn(x)ϕm(x)c(x)ρ(x)dx

Therefore

an =

∫ L0 f (x)ϕn(x)c(x)ρ(x)dx∫ L

0 ϕ2n(x)c(x)ρ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 40

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Heat Flow in a Nonuniform Rod without Sources

As we have done before, the generalized Fourier coefficients an can bedetermined using the orthogonality of the eigenfunctions and the initialcondition:

u(x ,0) =∞∑

n=1

anϕn(x)!= f (x).

Multiplication by ϕm(x)c(x)ρ(x) and integration from 0 to L yield:

∫ L

0f (x)ϕm(x)c(x)ρ(x)dx =

∞∑n=1

an

∫ L

0ϕn(x)ϕm(x)c(x)ρ(x)dx︸ ︷︷ ︸

=0 when n 6=m

Therefore

an =

∫ L0 f (x)ϕn(x)c(x)ρ(x)dx∫ L

0 ϕ2n(x)c(x)ρ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 40

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Heat Flow in a Nonuniform Rod without Sources

As we have done before, the generalized Fourier coefficients an can bedetermined using the orthogonality of the eigenfunctions and the initialcondition:

u(x ,0) =∞∑

n=1

anϕn(x)!= f (x).

Multiplication by ϕm(x)c(x)ρ(x) and integration from 0 to L yield:

∫ L

0f (x)ϕm(x)c(x)ρ(x)dx =

∞∑n=1

an

∫ L

0ϕn(x)ϕm(x)c(x)ρ(x)dx︸ ︷︷ ︸

=0 when n 6=mTherefore

an =

∫ L0 f (x)ϕn(x)c(x)ρ(x)dx∫ L

0 ϕ2n(x)c(x)ρ(x)dx

, n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 40

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Heat Flow in a Nonuniform Rod without Sources

Qualitative analysis of the solution for large values of t

First, we use the Rayleigh quotient

λ =− p(x)ϕ(x)ϕ′(x)|ba +

∫ ba

(p(x) [ϕ′(x)]2 − q(x)ϕ2(x)

)dx∫ b

a ϕ2(x)σ(x)dx

,

which for us – using [a,b] = [0,L], p(x) = K0(x), q(x) = 0, andσ(x) = c(x)ρ(x) – becomes

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx,

to show that all eigenvalues are positive.

[email protected] MATH 461 – Chapter 5 41

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Heat Flow in a Nonuniform Rod without Sources

Qualitative analysis of the solution for large values of t

First, we use the Rayleigh quotient

λ =− p(x)ϕ(x)ϕ′(x)|ba +

∫ ba

(p(x) [ϕ′(x)]2 − q(x)ϕ2(x)

)dx∫ b

a ϕ2(x)σ(x)dx

,

which for us – using [a,b] = [0,L], p(x) = K0(x), q(x) = 0, andσ(x) = c(x)ρ(x) – becomes

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx,

to show that all eigenvalues are positive.

[email protected] MATH 461 – Chapter 5 41

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Heat Flow in a Nonuniform Rod without Sources

We have

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

Since K0(x), c(x) and ρ(x) are all positive we have λ ≥ 0.

The only way for λ = 0 would be to have ϕ′(x) = 0.This, however, is not possible since this would imply ϕ(x) = const andthe BC ϕ(0) = 0 would force ϕ(x) ≡ 0 (which is not a possibleeigenfunction).Therefore, λ > 0.

[email protected] MATH 461 – Chapter 5 42

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Heat Flow in a Nonuniform Rod without Sources

We have

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

=K0(0)ϕ(0)ϕ′(0)− K0(L)ϕ(L)ϕ′(L) +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

Since K0(x), c(x) and ρ(x) are all positive we have λ ≥ 0.

The only way for λ = 0 would be to have ϕ′(x) = 0.This, however, is not possible since this would imply ϕ(x) = const andthe BC ϕ(0) = 0 would force ϕ(x) ≡ 0 (which is not a possibleeigenfunction).Therefore, λ > 0.

[email protected] MATH 461 – Chapter 5 42

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Heat Flow in a Nonuniform Rod without Sources

We have

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

K0(0)ϕ(0)︸︷︷︸=0

ϕ′(0)− K0(L)ϕ(L)ϕ′(L)︸ ︷︷ ︸=0

+∫ L

0 K0(x) [ϕ′(x)]2 dx

∫ L0 ϕ

2(x)c(x)ρ(x)dx

Since K0(x), c(x) and ρ(x) are all positive we have λ ≥ 0.

The only way for λ = 0 would be to have ϕ′(x) = 0.This, however, is not possible since this would imply ϕ(x) = const andthe BC ϕ(0) = 0 would force ϕ(x) ≡ 0 (which is not a possibleeigenfunction).Therefore, λ > 0.

[email protected] MATH 461 – Chapter 5 42

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Heat Flow in a Nonuniform Rod without Sources

We have

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

K0(0)ϕ(0)︸︷︷︸=0

ϕ′(0)− K0(L)ϕ(L)ϕ′(L)︸ ︷︷ ︸=0

+∫ L

0 K0(x) [ϕ′(x)]2 dx

∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

Since K0(x), c(x) and ρ(x) are all positive we have λ ≥ 0.

The only way for λ = 0 would be to have ϕ′(x) = 0.This, however, is not possible since this would imply ϕ(x) = const andthe BC ϕ(0) = 0 would force ϕ(x) ≡ 0 (which is not a possibleeigenfunction).Therefore, λ > 0.

[email protected] MATH 461 – Chapter 5 42

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Heat Flow in a Nonuniform Rod without Sources

We have

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

K0(0)ϕ(0)︸︷︷︸=0

ϕ′(0)− K0(L)ϕ(L)ϕ′(L)︸ ︷︷ ︸=0

+∫ L

0 K0(x) [ϕ′(x)]2 dx

∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dxSince K0(x), c(x) and ρ(x) are all positive we have λ ≥ 0.

The only way for λ = 0 would be to have ϕ′(x) = 0.This, however, is not possible since this would imply ϕ(x) = const andthe BC ϕ(0) = 0 would force ϕ(x) ≡ 0 (which is not a possibleeigenfunction).Therefore, λ > 0.

[email protected] MATH 461 – Chapter 5 42

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Heat Flow in a Nonuniform Rod without Sources

We have

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

K0(0)ϕ(0)︸︷︷︸=0

ϕ′(0)− K0(L)ϕ(L)ϕ′(L)︸ ︷︷ ︸=0

+∫ L

0 K0(x) [ϕ′(x)]2 dx

∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dxSince K0(x), c(x) and ρ(x) are all positive we have λ ≥ 0.

The only way for λ = 0 would be to have ϕ′(x) = 0.

This, however, is not possible since this would imply ϕ(x) = const andthe BC ϕ(0) = 0 would force ϕ(x) ≡ 0 (which is not a possibleeigenfunction).Therefore, λ > 0.

[email protected] MATH 461 – Chapter 5 42

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Heat Flow in a Nonuniform Rod without Sources

We have

λ =− K0(x)ϕ(x)ϕ′(x)|L0 +

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

K0(0)ϕ(0)︸︷︷︸=0

ϕ′(0)− K0(L)ϕ(L)ϕ′(L)︸ ︷︷ ︸=0

+∫ L

0 K0(x) [ϕ′(x)]2 dx

∫ L0 ϕ

2(x)c(x)ρ(x)dx

=

∫ L0 K0(x) [ϕ′(x)]

2 dx∫ L0 ϕ

2(x)c(x)ρ(x)dxSince K0(x), c(x) and ρ(x) are all positive we have λ ≥ 0.

The only way for λ = 0 would be to have ϕ′(x) = 0.This, however, is not possible since this would imply ϕ(x) = const andthe BC ϕ(0) = 0 would force ϕ(x) ≡ 0 (which is not a possibleeigenfunction).Therefore, λ > 0.

[email protected] MATH 461 – Chapter 5 42

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Heat Flow in a Nonuniform Rod without Sources

The fact that all eigenvalues λn > 0 implies that the solution

u(x , t) =∞∑

n=1

anϕn(x)e−λnt

will decay over time.

Moreover, sincethe decay is exponentialand since λn increases with n,

the most significant contribution to the solution for large values of tcomes from the first term of the series, i.e.,

u(x , t) ≈ a1ϕ1(x)e−λ1t , t large.

[email protected] MATH 461 – Chapter 5 43

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Heat Flow in a Nonuniform Rod without Sources

The fact that all eigenvalues λn > 0 implies that the solution

u(x , t) =∞∑

n=1

anϕn(x)e−λnt

will decay over time.

Moreover, sincethe decay is exponentialand since λn increases with n,

the most significant contribution to the solution for large values of tcomes from the first term of the series, i.e.,

u(x , t) ≈ a1ϕ1(x)e−λ1t , t large.

[email protected] MATH 461 – Chapter 5 43

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Heat Flow in a Nonuniform Rod without Sources

The fact that all eigenvalues λn > 0 implies that the solution

u(x , t) =∞∑

n=1

anϕn(x)e−λnt

will decay over time.

Moreover, sincethe decay is exponentialand since λn increases with n,

the most significant contribution to the solution for large values of tcomes from the first term of the series, i.e.,

u(x , t) ≈ a1ϕ1(x)e−λ1t , t large.

[email protected] MATH 461 – Chapter 5 43

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Heat Flow in a Nonuniform Rod without Sources

Since

a1 =

∫ L0 f (x)ϕ1(x)c(x)ρ(x)dx∫ L

0 ϕ21(x)c(x)ρ(x)dx

we can conclude that a1 6= 0 provided f (x) ≥ 0 (and not identicallyequal zero).

This is true sincec(x) > 0, ρ(x) > 0 andeither ϕ1(x) > 0 or ϕ1(x) < 0 (recall that SL-property 3 tells usthat ϕ1 has no zeros in (0,L).

RemarkThus, the smallest eigenvalue along with its associated eigenfunctionprovide essential qualitative information about the solution.

[email protected] MATH 461 – Chapter 5 44

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Heat Flow in a Nonuniform Rod without Sources

Since

a1 =

∫ L0 f (x)ϕ1(x)c(x)ρ(x)dx∫ L

0 ϕ21(x)c(x)ρ(x)dx

we can conclude that a1 6= 0 provided f (x) ≥ 0 (and not identicallyequal zero).This is true since

c(x) > 0, ρ(x) > 0 and

either ϕ1(x) > 0 or ϕ1(x) < 0 (recall that SL-property 3 tells usthat ϕ1 has no zeros in (0,L).

RemarkThus, the smallest eigenvalue along with its associated eigenfunctionprovide essential qualitative information about the solution.

[email protected] MATH 461 – Chapter 5 44

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Heat Flow in a Nonuniform Rod without Sources

Since

a1 =

∫ L0 f (x)ϕ1(x)c(x)ρ(x)dx∫ L

0 ϕ21(x)c(x)ρ(x)dx

we can conclude that a1 6= 0 provided f (x) ≥ 0 (and not identicallyequal zero).This is true since

c(x) > 0, ρ(x) > 0 andeither ϕ1(x) > 0 or ϕ1(x) < 0 (recall that SL-property 3 tells usthat ϕ1 has no zeros in (0,L).

RemarkThus, the smallest eigenvalue along with its associated eigenfunctionprovide essential qualitative information about the solution.

[email protected] MATH 461 – Chapter 5 44

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Heat Flow in a Nonuniform Rod without Sources

Since

a1 =

∫ L0 f (x)ϕ1(x)c(x)ρ(x)dx∫ L

0 ϕ21(x)c(x)ρ(x)dx

we can conclude that a1 6= 0 provided f (x) ≥ 0 (and not identicallyequal zero).This is true since

c(x) > 0, ρ(x) > 0 andeither ϕ1(x) > 0 or ϕ1(x) < 0 (recall that SL-property 3 tells usthat ϕ1 has no zeros in (0,L).

RemarkThus, the smallest eigenvalue along with its associated eigenfunctionprovide essential qualitative information about the solution.

[email protected] MATH 461 – Chapter 5 44

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 45

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now begin our careful study of the general regular Sturm–Liouvilleproblem

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0, x ∈ (a,b)

with boundary conditions

β1ϕ(a) + β2ϕ′(a) = 0

β3ϕ(b) + β4ϕ′(b) = 0

where the βi are real numbers, and p, q, σ and p′ are real-valued andcontinuous on [a,b] and p(x) and σ(x) are positive for all x in [a,b].

[email protected] MATH 461 – Chapter 5 46

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The notation is simplified and our discussion will be more transparent ifwe use operator notation, i.e., we write the Sturm–Liouville problem as

(Lϕ)(x) + λσ(x)ϕ(x) = 0

with the SL differential operator L defined by

Lϕ =d

dx(pϕ′)+ qϕ.

RemarkRecall that we used differential operators earlier in our discussionof linearity.From now on, L will denote the specific SL operator definedabove.

[email protected] MATH 461 – Chapter 5 47

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The notation is simplified and our discussion will be more transparent ifwe use operator notation, i.e., we write the Sturm–Liouville problem as

(Lϕ)(x) + λσ(x)ϕ(x) = 0

with the SL differential operator L defined by

Lϕ =d

dx(pϕ′)+ qϕ.

RemarkRecall that we used differential operators earlier in our discussionof linearity.

From now on, L will denote the specific SL operator definedabove.

[email protected] MATH 461 – Chapter 5 47

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The notation is simplified and our discussion will be more transparent ifwe use operator notation, i.e., we write the Sturm–Liouville problem as

(Lϕ)(x) + λσ(x)ϕ(x) = 0

with the SL differential operator L defined by

Lϕ =d

dx(pϕ′)+ qϕ.

RemarkRecall that we used differential operators earlier in our discussionof linearity.From now on, L will denote the specific SL operator definedabove.

[email protected] MATH 461 – Chapter 5 47

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Lagrange’s Identity

For arbitrary functions u and v (with sufficient smoothness) and the SLoperator L defined by

Lϕ =d

dx(pϕ′)+ qϕ

the formulauLv − vLu =

ddx[p(uv ′ − vu′

)]is known as Lagrange’s identity.

RemarkThis identity will play an important role in the definition ofself-adjointness of a linear operator – an important concept analogousto symmetry of a matrix.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Lagrange’s Identity

For arbitrary functions u and v (with sufficient smoothness) and the SLoperator L defined by

Lϕ =d

dx(pϕ′)+ qϕ

the formulauLv − vLu =

ddx[p(uv ′ − vu′

)]is known as Lagrange’s identity.

RemarkThis identity will play an important role in the definition ofself-adjointness of a linear operator – an important concept analogousto symmetry of a matrix.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now verify that Lagrange’s identity is true:

uLv − vLu def L= u

[d

dx(pv ′)+ qv

]− v

[d

dx(pu′)+ qu

]

distribute= u

ddx(pv ′)+ uqv − v

ddx(pu′)−vqu

= ud

dx(pv ′)− v

ddx(pu′)

prod rule= u

(p′v ′ + pv ′′

)− v

(p′u′ + pu′′

)rearrange

= p′(uv ′ − vu′

)+ p

(uv ′′ − vu′′

)= p′

(uv ′ − vu′

)+ p

(u′v ′ + uv ′′ − v ′u′ − vu′′

)prod rule

= p′(uv ′ − vu′

)+ p

(uv ′ − vu′

)′prod rule

=d

dx[p(uv ′ − vu′

)]

[email protected] MATH 461 – Chapter 5 49

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now verify that Lagrange’s identity is true:

uLv − vLu def L= u

[d

dx(pv ′)+ qv

]− v

[d

dx(pu′)+ qu

]distribute

= ud

dx(pv ′)+ uqv − v

ddx(pu′)−vqu

= ud

dx(pv ′)− v

ddx(pu′)

prod rule= u

(p′v ′ + pv ′′

)− v

(p′u′ + pu′′

)rearrange

= p′(uv ′ − vu′

)+ p

(uv ′′ − vu′′

)= p′

(uv ′ − vu′

)+ p

(u′v ′ + uv ′′ − v ′u′ − vu′′

)prod rule

= p′(uv ′ − vu′

)+ p

(uv ′ − vu′

)′prod rule

=d

dx[p(uv ′ − vu′

)]

[email protected] MATH 461 – Chapter 5 49

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now verify that Lagrange’s identity is true:

uLv − vLu def L= u

[d

dx(pv ′)+ qv

]− v

[d

dx(pu′)+ qu

]distribute

= ud

dx(pv ′)+ uqv − v

ddx(pu′)−vqu

= ud

dx(pv ′)− v

ddx(pu′)

prod rule= u

(p′v ′ + pv ′′

)− v

(p′u′ + pu′′

)rearrange

= p′(uv ′ − vu′

)+ p

(uv ′′ − vu′′

)= p′

(uv ′ − vu′

)+ p

(u′v ′ + uv ′′ − v ′u′ − vu′′

)prod rule

= p′(uv ′ − vu′

)+ p

(uv ′ − vu′

)′prod rule

=d

dx[p(uv ′ − vu′

)]

[email protected] MATH 461 – Chapter 5 49

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now verify that Lagrange’s identity is true:

uLv − vLu def L= u

[d

dx(pv ′)+ qv

]− v

[d

dx(pu′)+ qu

]distribute

= ud

dx(pv ′)+ uqv − v

ddx(pu′)−vqu

= ud

dx(pv ′)− v

ddx(pu′)

prod rule= u

(p′v ′ + pv ′′

)− v

(p′u′ + pu′′

)

rearrange= p′

(uv ′ − vu′

)+ p

(uv ′′ − vu′′

)= p′

(uv ′ − vu′

)+ p

(u′v ′ + uv ′′ − v ′u′ − vu′′

)prod rule

= p′(uv ′ − vu′

)+ p

(uv ′ − vu′

)′prod rule

=d

dx[p(uv ′ − vu′

)]

[email protected] MATH 461 – Chapter 5 49

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now verify that Lagrange’s identity is true:

uLv − vLu def L= u

[d

dx(pv ′)+ qv

]− v

[d

dx(pu′)+ qu

]distribute

= ud

dx(pv ′)+ uqv − v

ddx(pu′)−vqu

= ud

dx(pv ′)− v

ddx(pu′)

prod rule= u

(p′v ′ + pv ′′

)− v

(p′u′ + pu′′

)rearrange

= p′(uv ′ − vu′

)+ p

(uv ′′ − vu′′

)

= p′(uv ′ − vu′

)+ p

(u′v ′ + uv ′′ − v ′u′ − vu′′

)prod rule

= p′(uv ′ − vu′

)+ p

(uv ′ − vu′

)′prod rule

=d

dx[p(uv ′ − vu′

)]

[email protected] MATH 461 – Chapter 5 49

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now verify that Lagrange’s identity is true:

uLv − vLu def L= u

[d

dx(pv ′)+ qv

]− v

[d

dx(pu′)+ qu

]distribute

= ud

dx(pv ′)+ uqv − v

ddx(pu′)−vqu

= ud

dx(pv ′)− v

ddx(pu′)

prod rule= u

(p′v ′ + pv ′′

)− v

(p′u′ + pu′′

)rearrange

= p′(uv ′ − vu′

)+ p

(uv ′′ − vu′′

)= p′

(uv ′ − vu′

)+ p

(u′v ′ + uv ′′ − v ′u′ − vu′′

)

prod rule= p′

(uv ′ − vu′

)+ p

(uv ′ − vu′

)′prod rule

=d

dx[p(uv ′ − vu′

)]

[email protected] MATH 461 – Chapter 5 49

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now verify that Lagrange’s identity is true:

uLv − vLu def L= u

[d

dx(pv ′)+ qv

]− v

[d

dx(pu′)+ qu

]distribute

= ud

dx(pv ′)+ uqv − v

ddx(pu′)−vqu

= ud

dx(pv ′)− v

ddx(pu′)

prod rule= u

(p′v ′ + pv ′′

)− v

(p′u′ + pu′′

)rearrange

= p′(uv ′ − vu′

)+ p

(uv ′′ − vu′′

)= p′

(uv ′ − vu′

)+ p

(u′v ′ + uv ′′ − v ′u′ − vu′′

)prod rule

= p′(uv ′ − vu′

)+ p

(uv ′ − vu′

)′

prod rule=

ddx[p(uv ′ − vu′

)]

[email protected] MATH 461 – Chapter 5 49

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now verify that Lagrange’s identity is true:

uLv − vLu def L= u

[d

dx(pv ′)+ qv

]− v

[d

dx(pu′)+ qu

]distribute

= ud

dx(pv ′)+ uqv − v

ddx(pu′)−vqu

= ud

dx(pv ′)− v

ddx(pu′)

prod rule= u

(p′v ′ + pv ′′

)− v

(p′u′ + pu′′

)rearrange

= p′(uv ′ − vu′

)+ p

(uv ′′ − vu′′

)= p′

(uv ′ − vu′

)+ p

(u′v ′ + uv ′′ − v ′u′ − vu′′

)prod rule

= p′(uv ′ − vu′

)+ p

(uv ′ − vu′

)′prod rule

=d

dx[p(uv ′ − vu′

)]

[email protected] MATH 461 – Chapter 5 49

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Green’s Formula

For arbitrary functions u and v (with sufficient smoothness) and the SLoperator L defined by

Lϕ =d

dx(pϕ′)+ qϕ

the formula∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx =

[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba

is known as Green’s formula.

RemarkGreen’s formula is an immediate consequence of Lagrange’s identity,i.e., we simply replace the integrand uLv − vLu by d

dx [p (uv ′ − vu′)].Therefore it may also be called the integral form of Lagrange’s identity.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Green’s Formula

For arbitrary functions u and v (with sufficient smoothness) and the SLoperator L defined by

Lϕ =d

dx(pϕ′)+ qϕ

the formula∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx =

[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba

is known as Green’s formula.

RemarkGreen’s formula is an immediate consequence of Lagrange’s identity,i.e., we simply replace the integrand uLv − vLu by d

dx [p (uv ′ − vu′)].Therefore it may also be called the integral form of Lagrange’s identity.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example

Let’s consider the special SL differential operator Lu = u′′, i.e., withp(x) = 1 and q(x) = 0, and see what Lagrange’s identity and Green’sformula look like in this case.

For Lagrange’s identity we have the left-hand side

uLv − vLu = uv ′′ − vu′′

and right-hand side

ddx[p(uv ′ − vu′

)]=

ddx[(

uv ′ − vu′)].

Therefore Lagrange’s identity says that

uv ′′ − vu′′ =d

dx[(

uv ′ − vu′)].

[email protected] MATH 461 – Chapter 5 51

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example

Let’s consider the special SL differential operator Lu = u′′, i.e., withp(x) = 1 and q(x) = 0, and see what Lagrange’s identity and Green’sformula look like in this case.For Lagrange’s identity we have the left-hand side

uLv − vLu = uv ′′ − vu′′

and right-hand side

ddx[p(uv ′ − vu′

)]=

ddx[(

uv ′ − vu′)].

Therefore Lagrange’s identity says that

uv ′′ − vu′′ =d

dx[(

uv ′ − vu′)].

[email protected] MATH 461 – Chapter 5 51

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example

Let’s consider the special SL differential operator Lu = u′′, i.e., withp(x) = 1 and q(x) = 0, and see what Lagrange’s identity and Green’sformula look like in this case.For Lagrange’s identity we have the left-hand side

uLv − vLu = uv ′′ − vu′′

and right-hand side

ddx[p(uv ′ − vu′

)]=

ddx[(

uv ′ − vu′)].

Therefore Lagrange’s identity says that

uv ′′ − vu′′ =d

dx[(

uv ′ − vu′)].

[email protected] MATH 461 – Chapter 5 51

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example

Let’s consider the special SL differential operator Lu = u′′, i.e., withp(x) = 1 and q(x) = 0, and see what Lagrange’s identity and Green’sformula look like in this case.For Lagrange’s identity we have the left-hand side

uLv − vLu = uv ′′ − vu′′

and right-hand side

ddx[p(uv ′ − vu′

)]=

ddx[(

uv ′ − vu′)].

Therefore Lagrange’s identity says that

uv ′′ − vu′′ =d

dx[(

uv ′ − vu′)].

[email protected] MATH 461 – Chapter 5 51

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example (cont.)For Green’s formula the left-hand side is∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)]dx =

∫ b

a

[u(x)v ′′(x)− v(x)u′′(x)

]dx

and the right-hand side[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba =

[u(x)v ′(x)− v(x)u′(x)

]ba .

Therefore Green’s formula says that∫ b

a

[u(x)v ′′(x)− v(x)u′′(x)

]dx =

[u(x)v ′(x)− v(x)u′(x)

]ba .

[email protected] MATH 461 – Chapter 5 52

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example (cont.)For Green’s formula the left-hand side is∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)]dx =

∫ b

a

[u(x)v ′′(x)− v(x)u′′(x)

]dx

and the right-hand side[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba =

[u(x)v ′(x)− v(x)u′(x)

]ba .

Therefore Green’s formula says that∫ b

a

[u(x)v ′′(x)− v(x)u′′(x)

]dx =

[u(x)v ′(x)− v(x)u′(x)

]ba .

[email protected] MATH 461 – Chapter 5 52

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example (cont.)For Green’s formula the left-hand side is∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)]dx =

∫ b

a

[u(x)v ′′(x)− v(x)u′′(x)

]dx

and the right-hand side[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba =

[u(x)v ′(x)− v(x)u′(x)

]ba .

Therefore Green’s formula says that∫ b

a

[u(x)v ′′(x)− v(x)u′′(x)

]dx =

[u(x)v ′(x)− v(x)u′(x)

]ba .

[email protected] MATH 461 – Chapter 5 52

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Self-adjointness

Let’s assume we have functions u and v that satisfy the condition[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba = 0,

but are otherwise arbitrary.

Then Green’s formula∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx =

[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba

tells us that ∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0.

In fact, we will illustrate below that if u and v simply satisfy the sameset of (SL-type) boundary conditions, then L satisfies∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0. (7)

[email protected] MATH 461 – Chapter 5 53

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Self-adjointness

Let’s assume we have functions u and v that satisfy the condition[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba = 0,

but are otherwise arbitrary.Then Green’s formula∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx =

[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba

tells us that ∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0.

In fact, we will illustrate below that if u and v simply satisfy the sameset of (SL-type) boundary conditions, then L satisfies∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0. (7)

[email protected] MATH 461 – Chapter 5 53

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Self-adjointness

Let’s assume we have functions u and v that satisfy the condition[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba = 0,

but are otherwise arbitrary.Then Green’s formula∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx =

[p(x)

(u(x)v ′(x)− v(x)u′(x)

)]ba

tells us that ∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0.

In fact, we will illustrate below that if u and v simply satisfy the sameset of (SL-type) boundary conditions, then L satisfies∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0. (7)

[email protected] MATH 461 – Chapter 5 53

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Remark

With the inner product notation 〈f ,g〉 =∫ b

a f (x)g(x)dx we used inChapter 2 we can write (7)∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0

as

〈u,Lv〉 = 〈v ,Lu〉.

This is analogous to the vector-matrix identity xT Ay = yT Ax which istrue if A = AT is symmetric.

Thus, the SL operator behaves in some ways similarly to a symmetricmatrix. Since symmetric matrices are sometimes also referred to asself-adjoint matrices, the operator L is called a self-adjoint differentialoperator.

[email protected] MATH 461 – Chapter 5 54

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Remark

With the inner product notation 〈f ,g〉 =∫ b

a f (x)g(x)dx we used inChapter 2 we can write (7)∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0

as

〈u,Lv〉 = 〈v ,Lu〉.

This is analogous to the vector-matrix identity xT Ay = yT Ax which istrue if A = AT is symmetric.

Thus, the SL operator behaves in some ways similarly to a symmetricmatrix. Since symmetric matrices are sometimes also referred to asself-adjoint matrices, the operator L is called a self-adjoint differentialoperator.

[email protected] MATH 461 – Chapter 5 54

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Remark

With the inner product notation 〈f ,g〉 =∫ b

a f (x)g(x)dx we used inChapter 2 we can write (7)∫ b

a[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0

as

〈u,Lv〉 = 〈v ,Lu〉.

This is analogous to the vector-matrix identity xT Ay = yT Ax which istrue if A = AT is symmetric.

Thus, the SL operator behaves in some ways similarly to a symmetricmatrix. Since symmetric matrices are sometimes also referred to asself-adjoint matrices, the operator L is called a self-adjoint differentialoperator.

[email protected] MATH 461 – Chapter 5 54

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

ExampleThe general SL differential operator

Lϕ =d

dx(pϕ′)+ qϕ

with boundary conditions ϕ(0) = ϕ(L) = 0 is self-adjoint.

To show this we take arbitrary functions u and v that both satisfy theBCs, i.e.,

u(0) = u(L) = 0 and v(0) = v(L) = 0,

and we show that (7) holds, i.e.,∫ L

0[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0.

[email protected] MATH 461 – Chapter 5 55

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

ExampleThe general SL differential operator

Lϕ =d

dx(pϕ′)+ qϕ

with boundary conditions ϕ(0) = ϕ(L) = 0 is self-adjoint.

To show this we take arbitrary functions u and v that both satisfy theBCs, i.e.,

u(0) = u(L) = 0 and v(0) = v(L) = 0,

and we show that (7) holds, i.e.,∫ L

0[u(x)(Lv)(x)− v(x)(Lu)(x)] dx = 0.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example (cont.)

∫ L

0[u(x)(Lv)(x)− v(x)(Lu)(x)]dx Green

= [p(x) (u(x)v ′(x)− v(x)u′(x))]L0

RemarkIn fact, any regular Sturm–Liouville problem is self-adjoint (seeHW 5.5.1).

Moreover, the Sturm–Liouville differential equation with periodic orsingularity BCs is also self-adjoint (see HW 5.5.1).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example (cont.)

∫ L

0[u(x)(Lv)(x)− v(x)(Lu)(x)]dx Green

= [p(x) (u(x)v ′(x)− v(x)u′(x))]L0

= p(L) (u(L)v ′(L)− v(L)u′(L))−p(0) (u(0)v ′(0)− v(0)u′(0))

RemarkIn fact, any regular Sturm–Liouville problem is self-adjoint (seeHW 5.5.1).Moreover, the Sturm–Liouville differential equation with periodic orsingularity BCs is also self-adjoint (see HW 5.5.1).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example (cont.)

∫ L

0[u(x)(Lv)(x)− v(x)(Lu)(x)]dx Green

= [p(x) (u(x)v ′(x)− v(x)u′(x))]L0

= p(L)(

u(L)︸︷︷︸=0

v ′(L)− v(L)︸︷︷︸=0

u′(L))

−p(0)(

u(0)︸︷︷︸=0

v ′(0)− v(0)︸︷︷︸=0

u′(0))

RemarkIn fact, any regular Sturm–Liouville problem is self-adjoint (seeHW 5.5.1).Moreover, the Sturm–Liouville differential equation with periodic orsingularity BCs is also self-adjoint (see HW 5.5.1).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example (cont.)

∫ L

0[u(x)(Lv)(x)− v(x)(Lu)(x)]dx Green

= [p(x) (u(x)v ′(x)− v(x)u′(x))]L0

= p(L)(

u(L)︸︷︷︸=0

v ′(L)− v(L)︸︷︷︸=0

u′(L))

−p(0)(

u(0)︸︷︷︸=0

v ′(0)− v(0)︸︷︷︸=0

u′(0))

= 0.

RemarkIn fact, any regular Sturm–Liouville problem is self-adjoint (seeHW 5.5.1).Moreover, the Sturm–Liouville differential equation with periodic orsingularity BCs is also self-adjoint (see HW 5.5.1).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Example (cont.)

∫ L

0[u(x)(Lv)(x)− v(x)(Lu)(x)]dx Green

= [p(x) (u(x)v ′(x)− v(x)u′(x))]L0

= p(L)(

u(L)︸︷︷︸=0

v ′(L)− v(L)︸︷︷︸=0

u′(L))

−p(0)(

u(0)︸︷︷︸=0

v ′(0)− v(0)︸︷︷︸=0

u′(0))

= 0.

RemarkIn fact, any regular Sturm–Liouville problem is self-adjoint (seeHW 5.5.1).Moreover, the Sturm–Liouville differential equation with periodic orsingularity BCs is also self-adjoint (see HW 5.5.1).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Orthogonality of Eigenfunctions

Earlier we claimed (see Property 5):

For regular SL problems the eigenfunctions to different eigenvaluesare orthogonal on (a,b) with respect to the weight σ, i.e.,∫ b

aϕn(x)ϕm(x)σ(x) = 0 provided n 6= m,

and we illustrated this property with the functions

ϕn(x) = sinnπx

L, n = 1,2,3, . . .

We now prove this is true in general.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Orthogonality of Eigenfunctions

Earlier we claimed (see Property 5):

For regular SL problems the eigenfunctions to different eigenvaluesare orthogonal on (a,b) with respect to the weight σ, i.e.,∫ b

aϕn(x)ϕm(x)σ(x) = 0 provided n 6= m,

and we illustrated this property with the functions

ϕn(x) = sinnπx

L, n = 1,2,3, . . .

We now prove this is true in general.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We start by considering two different eigenvalues λm and λn of L.

The corresponding SL differential equations are (in operator notation)

Lϕm(x) + λmσ(x)ϕm(x) = 0 (8)Lϕn(x) + λnσ(x)ϕn(x) = 0 (9)

and the corresponding BCs are

β1ϕm(a) + β2ϕ′m(a) = 0

β3ϕm(b) + β4ϕ′m(b) = 0

and (with the same constants βi )

β1ϕn(a) + β2ϕ′n(a) = 0

β3ϕn(b) + β4ϕ′n(b) = 0

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We start by considering two different eigenvalues λm and λn of L.The corresponding SL differential equations are (in operator notation)

Lϕm(x) + λmσ(x)ϕm(x) = 0 (8)Lϕn(x) + λnσ(x)ϕn(x) = 0 (9)

and the corresponding BCs are

β1ϕm(a) + β2ϕ′m(a) = 0

β3ϕm(b) + β4ϕ′m(b) = 0

and (with the same constants βi )

β1ϕn(a) + β2ϕ′n(a) = 0

β3ϕn(b) + β4ϕ′n(b) = 0

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We start by considering two different eigenvalues λm and λn of L.The corresponding SL differential equations are (in operator notation)

Lϕm(x) + λmσ(x)ϕm(x) = 0 (8)Lϕn(x) + λnσ(x)ϕn(x) = 0 (9)

and the corresponding BCs are

β1ϕm(a) + β2ϕ′m(a) = 0

β3ϕm(b) + β4ϕ′m(b) = 0

and (with the same constants βi )

β1ϕn(a) + β2ϕ′n(a) = 0

β3ϕn(b) + β4ϕ′n(b) = 0

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now subtract ϕm(9)− ϕn(8):

ϕm (Lϕn + λnσϕn)− ϕn (Lϕm + λmσϕm) = 0

or

ϕmLϕn − ϕnLϕm = ϕnλmσϕm − ϕmλnσϕn

⇐⇒ ϕmLϕn − ϕnLϕm = (λm − λn)σϕmϕn (10)

Green’s formula with u = ϕm and v = ϕn says∫ b

a[ϕm(x)(Lϕn)(x)− ϕn(x)(Lϕm)(x)]dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

(11)

and we replace the integrand of (11) with the right-hand side of (10).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now subtract ϕm(9)− ϕn(8):

ϕm (Lϕn + λnσϕn)− ϕn (Lϕm + λmσϕm) = 0

or

ϕmLϕn − ϕnLϕm = ϕnλmσϕm − ϕmλnσϕn

⇐⇒ ϕmLϕn − ϕnLϕm = (λm − λn)σϕmϕn (10)

Green’s formula with u = ϕm and v = ϕn says∫ b

a[ϕm(x)(Lϕn)(x)− ϕn(x)(Lϕm)(x)]dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

(11)

and we replace the integrand of (11) with the right-hand side of (10).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now subtract ϕm(9)− ϕn(8):

ϕm (Lϕn + λnσϕn)− ϕn (Lϕm + λmσϕm) = 0

or

ϕmLϕn − ϕnLϕm = ϕnλmσϕm − ϕmλnσϕn

⇐⇒ ϕmLϕn − ϕnLϕm = (λm − λn)σϕmϕn (10)

Green’s formula with u = ϕm and v = ϕn says∫ b

a[ϕm(x)(Lϕn)(x)− ϕn(x)(Lϕm)(x)]dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

(11)

and we replace the integrand of (11) with the right-hand side of (10).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now subtract ϕm(9)− ϕn(8):

ϕm (Lϕn + λnσϕn)− ϕn (Lϕm + λmσϕm) = 0

or

ϕmLϕn − ϕnLϕm = ϕnλmσϕm − ϕmλnσϕn

⇐⇒ ϕmLϕn − ϕnLϕm = (λm − λn)σϕmϕn (10)

Green’s formula with u = ϕm and v = ϕn says∫ b

a[ϕm(x)(Lϕn)(x)− ϕn(x)(Lϕm)(x)]dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

(11)

and we replace the integrand of (11) with the right-hand side of (10).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We now subtract ϕm(9)− ϕn(8):

ϕm (Lϕn + λnσϕn)− ϕn (Lϕm + λmσϕm) = 0

or

ϕmLϕn − ϕnLϕm = ϕnλmσϕm − ϕmλnσϕn

⇐⇒ ϕmLϕn − ϕnLϕm = (λm − λn)σϕmϕn (10)

Green’s formula with u = ϕm and v = ϕn says∫ b

a[ϕm(x)(Lϕn)(x)− ϕn(x)(Lϕm)(x)]dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

(11)

and we replace the integrand of (11) with the right-hand side of (10).

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

This gives us∫ b

a[(λm − λn)σ(x)ϕm(x)ϕn(x)]dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

Note that the BCs for ϕm and ϕn at x = b

β3ϕm(b) + β4ϕ′m(b) = 0

β3ϕn(b) + β4ϕ′n(b) = 0

imply

ϕ′m(b) = −β3

β4ϕm(b) and ϕ′n(b) = −

β3

β4ϕn(b)

Therefore B = 0, and A = 0 follows similarly.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

This gives us∫ b

a[(λm − λn)σ(x)ϕm(x)ϕn(x)]dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

= p(b) (ϕm(b)ϕ′n(b)− ϕn(b)ϕ′m(b))−p(a) (ϕm(a)ϕ′n(a)− ϕn(a)ϕ′m(a))

Note that the BCs for ϕm and ϕn at x = b

β3ϕm(b) + β4ϕ′m(b) = 0

β3ϕn(b) + β4ϕ′n(b) = 0

imply

ϕ′m(b) = −β3

β4ϕm(b) and ϕ′n(b) = −

β3

β4ϕn(b)

Therefore B = 0, and A = 0 follows similarly.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

This gives us∫ b

a(λm − λn)σ(x)ϕm(x)ϕn(x)dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

= p(b)(ϕm(b)ϕ′n(b)− ϕn(b)ϕ′m(b)︸ ︷︷ ︸

=B

)−p(a)

(ϕm(a)ϕ′n(a)− ϕn(a)ϕ′m(a)︸ ︷︷ ︸

=A

)

Note that the BCs for ϕm and ϕn at x = b

β3ϕm(b) + β4ϕ′m(b) = 0

β3ϕn(b) + β4ϕ′n(b) = 0

imply

ϕ′m(b) = −β3

β4ϕm(b) and ϕ′n(b) = −

β3

β4ϕn(b)

Therefore B = 0, and A = 0 follows similarly.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

This gives us∫ b

a(λm − λn)σ(x)ϕm(x)ϕn(x)dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

= p(b)(ϕm(b)ϕ′n(b)− ϕn(b)ϕ′m(b)︸ ︷︷ ︸

=B

)−p(a)

(ϕm(a)ϕ′n(a)− ϕn(a)ϕ′m(a)︸ ︷︷ ︸

=A

)

Note that the BCs for ϕm and ϕn at x = b

β3ϕm(b) + β4ϕ′m(b) = 0

β3ϕn(b) + β4ϕ′n(b) = 0

imply

ϕ′m(b) = −β3

β4ϕm(b) and ϕ′n(b) = −

β3

β4ϕn(b)

Therefore B = 0, and A = 0 follows similarly.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

This gives us∫ b

a(λm − λn)σ(x)ϕm(x)ϕn(x)dx = [p(x) (ϕm(x)ϕ′n(x)− ϕn(x)ϕ′m(x))]

ba

= p(b)(ϕm(b)ϕ′n(b)− ϕn(b)ϕ′m(b)︸ ︷︷ ︸

=B

)−p(a)

(ϕm(a)ϕ′n(a)− ϕn(a)ϕ′m(a)︸ ︷︷ ︸

=A

)

Note that the BCs for ϕm and ϕn at x = b

β3ϕm(b) + β4ϕ′m(b) = 0

β3ϕn(b) + β4ϕ′n(b) = 0

imply

ϕ′m(b) = −β3

β4ϕm(b) and ϕ′n(b) = −

β3

β4ϕn(b)

Therefore B = 0, and A = 0 follows [email protected] MATH 461 – Chapter 5 60

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since both A and B are zero we have∫ b

a(λm − λn)σ(x)ϕm(x)ϕn(x)dx = 0

or

(λm − λn)

∫ b

aσ(x)ϕm(x)ϕn(x)dx = 0

and therefore – as long as λm 6= λn – we have∫ b

aσ(x)ϕm(x)ϕn(x)dx = 0,

the claimed orthogonality. �

RemarkNote that Green’s formula significantly simplified this proof since wenever had to actually evaluate an integral.

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since both A and B are zero we have∫ b

a(λm − λn)σ(x)ϕm(x)ϕn(x)dx = 0

or

(λm − λn)

∫ b

aσ(x)ϕm(x)ϕn(x)dx = 0

and therefore – as long as λm 6= λn – we have∫ b

aσ(x)ϕm(x)ϕn(x)dx = 0,

the claimed orthogonality. �

RemarkNote that Green’s formula significantly simplified this proof since wenever had to actually evaluate an integral.

[email protected] MATH 461 – Chapter 5 61

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since both A and B are zero we have∫ b

a(λm − λn)σ(x)ϕm(x)ϕn(x)dx = 0

or

(λm − λn)

∫ b

aσ(x)ϕm(x)ϕn(x)dx = 0

and therefore – as long as λm 6= λn – we have∫ b

aσ(x)ϕm(x)ϕn(x)dx = 0,

the claimed orthogonality. �

RemarkNote that Green’s formula significantly simplified this proof since wenever had to actually evaluate an integral.

[email protected] MATH 461 – Chapter 5 61

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since both A and B are zero we have∫ b

a(λm − λn)σ(x)ϕm(x)ϕn(x)dx = 0

or

(λm − λn)

∫ b

aσ(x)ϕm(x)ϕn(x)dx = 0

and therefore – as long as λm 6= λn – we have∫ b

aσ(x)ϕm(x)ϕn(x)dx = 0,

the claimed orthogonality. �

RemarkNote that Green’s formula significantly simplified this proof since wenever had to actually evaluate an integral.

[email protected] MATH 461 – Chapter 5 61

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

All eigenvalues are real

This was the claim of Property 1, and will now prove that it is true forgeneral regular SL problems.

Our strategy will be to assume that there is a complex eigenvalue andshow that this leads to a contradiction.

The SL differential equation is

Lϕ+ λσϕ = 0,

where ϕ (as well as λ) is allowed to be complex-valued, but σ and thecoefficients p and q in L are real.We also assume that the coefficients βi of the BCs remain real.

[email protected] MATH 461 – Chapter 5 62

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

All eigenvalues are real

This was the claim of Property 1, and will now prove that it is true forgeneral regular SL problems.

Our strategy will be to assume that there is a complex eigenvalue andshow that this leads to a contradiction.

The SL differential equation is

Lϕ+ λσϕ = 0,

where ϕ (as well as λ) is allowed to be complex-valued, but σ and thecoefficients p and q in L are real.We also assume that the coefficients βi of the BCs remain real.

[email protected] MATH 461 – Chapter 5 62

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

All eigenvalues are real

This was the claim of Property 1, and will now prove that it is true forgeneral regular SL problems.

Our strategy will be to assume that there is a complex eigenvalue andshow that this leads to a contradiction.

The SL differential equation is

Lϕ+ λσϕ = 0,

where ϕ (as well as λ) is allowed to be complex-valued, but σ and thecoefficients p and q in L are real.We also assume that the coefficients βi of the BCs remain real.

[email protected] MATH 461 – Chapter 5 62

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The complex conjugate of this equation is

Lϕ+ λσϕ = 0.

Since the coefficients p and q of L are real we have (see HW 5.5.7)Lϕ = Lϕ and so

Lϕ+ λσϕ = 0,

i.e., ϕ satisfies the Sturm–Liouville equation (with complex conjugateeigenvalue).Since the βi are real, ϕ satisfies the BCs whenever ϕ does: e.g., atx = a we have

β1ϕ(a) + β2ϕ′(a) = 0

conjugate⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0βi real⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0

[email protected] MATH 461 – Chapter 5 63

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The complex conjugate of this equation is

Lϕ+ λσϕ = 0.

Since the coefficients p and q of L are real we have (see HW 5.5.7)Lϕ = Lϕ and so

Lϕ+ λσϕ = 0,

i.e., ϕ satisfies the Sturm–Liouville equation (with complex conjugateeigenvalue).Since the βi are real, ϕ satisfies the BCs whenever ϕ does: e.g., atx = a we have

β1ϕ(a) + β2ϕ′(a) = 0

conjugate⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0βi real⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0

[email protected] MATH 461 – Chapter 5 63

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The complex conjugate of this equation is

Lϕ+ λσϕ = 0.

Since the coefficients p and q of L are real we have (see HW 5.5.7)Lϕ = Lϕ and so

Lϕ+ λσϕ = 0,

i.e., ϕ satisfies the Sturm–Liouville equation (with complex conjugateeigenvalue).

Since the βi are real, ϕ satisfies the BCs whenever ϕ does: e.g., atx = a we have

β1ϕ(a) + β2ϕ′(a) = 0

conjugate⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0βi real⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0

[email protected] MATH 461 – Chapter 5 63

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The complex conjugate of this equation is

Lϕ+ λσϕ = 0.

Since the coefficients p and q of L are real we have (see HW 5.5.7)Lϕ = Lϕ and so

Lϕ+ λσϕ = 0,

i.e., ϕ satisfies the Sturm–Liouville equation (with complex conjugateeigenvalue).Since the βi are real, ϕ satisfies the BCs whenever ϕ does: e.g., atx = a we have

β1ϕ(a) + β2ϕ′(a) = 0

conjugate⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0βi real⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0

[email protected] MATH 461 – Chapter 5 63

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The complex conjugate of this equation is

Lϕ+ λσϕ = 0.

Since the coefficients p and q of L are real we have (see HW 5.5.7)Lϕ = Lϕ and so

Lϕ+ λσϕ = 0,

i.e., ϕ satisfies the Sturm–Liouville equation (with complex conjugateeigenvalue).Since the βi are real, ϕ satisfies the BCs whenever ϕ does: e.g., atx = a we have

β1ϕ(a) + β2ϕ′(a) = 0

conjugate⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0

βi real⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The complex conjugate of this equation is

Lϕ+ λσϕ = 0.

Since the coefficients p and q of L are real we have (see HW 5.5.7)Lϕ = Lϕ and so

Lϕ+ λσϕ = 0,

i.e., ϕ satisfies the Sturm–Liouville equation (with complex conjugateeigenvalue).Since the βi are real, ϕ satisfies the BCs whenever ϕ does: e.g., atx = a we have

β1ϕ(a) + β2ϕ′(a) = 0

conjugate⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0βi real⇐⇒ β1ϕ(a) + β2ϕ′(a) = 0

[email protected] MATH 461 – Chapter 5 63

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

So far we have established that both ϕ and ϕ satisfy the SL problem.

Their associated eigenvalues are λ and λ.

Note that λ 6= λ provided λ is complex as assumed.

Therefore, orthogonality of the associated eigenfunctions gives∫ b

aϕ(x)ϕ(x)σ(x)dx = 0.

However, σ(x) > 0 and ϕ(x)ϕ(x) = |ϕ(x)|2 ≥ 0.

Therefore we must have ϕ(x) ≡ 0, which contradicts that ϕ is aneigenfunction, and so λ cannot be complex. �

[email protected] MATH 461 – Chapter 5 64

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

So far we have established that both ϕ and ϕ satisfy the SL problem.

Their associated eigenvalues are λ and λ.

Note that λ 6= λ provided λ is complex as assumed.

Therefore, orthogonality of the associated eigenfunctions gives∫ b

aϕ(x)ϕ(x)σ(x)dx = 0.

However, σ(x) > 0 and ϕ(x)ϕ(x) = |ϕ(x)|2 ≥ 0.

Therefore we must have ϕ(x) ≡ 0, which contradicts that ϕ is aneigenfunction, and so λ cannot be complex. �

[email protected] MATH 461 – Chapter 5 64

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

So far we have established that both ϕ and ϕ satisfy the SL problem.

Their associated eigenvalues are λ and λ.

Note that λ 6= λ provided λ is complex as assumed.

Therefore, orthogonality of the associated eigenfunctions gives∫ b

aϕ(x)ϕ(x)σ(x)dx = 0.

However, σ(x) > 0 and ϕ(x)ϕ(x) = |ϕ(x)|2 ≥ 0.

Therefore we must have ϕ(x) ≡ 0, which contradicts that ϕ is aneigenfunction, and so λ cannot be complex. �

[email protected] MATH 461 – Chapter 5 64

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

So far we have established that both ϕ and ϕ satisfy the SL problem.

Their associated eigenvalues are λ and λ.

Note that λ 6= λ provided λ is complex as assumed.

Therefore, orthogonality of the associated eigenfunctions gives∫ b

aϕ(x)ϕ(x)σ(x)dx = 0.

However, σ(x) > 0 and ϕ(x)ϕ(x) = |ϕ(x)|2 ≥ 0.

Therefore we must have ϕ(x) ≡ 0, which contradicts that ϕ is aneigenfunction, and so λ cannot be complex. �

[email protected] MATH 461 – Chapter 5 64

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

So far we have established that both ϕ and ϕ satisfy the SL problem.

Their associated eigenvalues are λ and λ.

Note that λ 6= λ provided λ is complex as assumed.

Therefore, orthogonality of the associated eigenfunctions gives∫ b

aϕ(x)ϕ(x)σ(x)dx = 0.

However, σ(x) > 0 and ϕ(x)ϕ(x) = |ϕ(x)|2 ≥ 0.

Therefore we must have ϕ(x) ≡ 0, which contradicts that ϕ is aneigenfunction, and so λ cannot be complex. �

[email protected] MATH 461 – Chapter 5 64

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

So far we have established that both ϕ and ϕ satisfy the SL problem.

Their associated eigenvalues are λ and λ.

Note that λ 6= λ provided λ is complex as assumed.

Therefore, orthogonality of the associated eigenfunctions gives∫ b

aϕ(x)ϕ(x)σ(x)dx = 0.

However, σ(x) > 0 and ϕ(x)ϕ(x) = |ϕ(x)|2 ≥ 0.

Therefore we must have ϕ(x) ≡ 0, which contradicts that ϕ is aneigenfunction, and so λ cannot be complex. �

[email protected] MATH 461 – Chapter 5 64

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Uniqueness of Eigenfunctions

This was the claim of Property 3. We now prove this holds for generalregular SL problems.

As with any standard uniqueness proof we assume that ϕ1 and ϕ2 aretwo different eigenfunctions, both associated with the same eigenvalueλ.

We will show that ϕ1 = cϕ2, i.e., we have uniqueness up to a constantfactor.

[email protected] MATH 461 – Chapter 5 65

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Uniqueness of Eigenfunctions

This was the claim of Property 3. We now prove this holds for generalregular SL problems.

As with any standard uniqueness proof we assume that ϕ1 and ϕ2 aretwo different eigenfunctions, both associated with the same eigenvalueλ.

We will show that ϕ1 = cϕ2, i.e., we have uniqueness up to a constantfactor.

[email protected] MATH 461 – Chapter 5 65

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Uniqueness of Eigenfunctions

This was the claim of Property 3. We now prove this holds for generalregular SL problems.

As with any standard uniqueness proof we assume that ϕ1 and ϕ2 aretwo different eigenfunctions, both associated with the same eigenvalueλ.

We will show that ϕ1 = cϕ2, i.e., we have uniqueness up to a constantfactor.

[email protected] MATH 461 – Chapter 5 65

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The SL differential equations for ϕ1 and ϕ2 are

Lϕ1 + λσϕ1 = 0 (12)Lϕ2 + λσϕ2 = 0 (13)

Multiplying (12) by ϕ2 and (13) by ϕ1 and taking the difference yields

ϕ2Lϕ1 − ϕ1Lϕ2 = 0.

Lagrange’s identity with u = ϕ2 and v = ϕ1 gives

ϕ2Lϕ1 − ϕ1Lϕ2 =d

dx[p(ϕ2ϕ

′1 − ϕ1ϕ

′2)]

= 0.

Consequently,

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= const = C. (14)

To determine the constant C we use the boundary conditions.

[email protected] MATH 461 – Chapter 5 66

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The SL differential equations for ϕ1 and ϕ2 are

Lϕ1 + λσϕ1 = 0 (12)Lϕ2 + λσϕ2 = 0 (13)

Multiplying (12) by ϕ2 and (13) by ϕ1 and taking the difference yields

ϕ2Lϕ1 − ϕ1Lϕ2 = 0.

Lagrange’s identity with u = ϕ2 and v = ϕ1 gives

ϕ2Lϕ1 − ϕ1Lϕ2 =d

dx[p(ϕ2ϕ

′1 − ϕ1ϕ

′2)]

= 0.

Consequently,

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= const = C. (14)

To determine the constant C we use the boundary conditions.

[email protected] MATH 461 – Chapter 5 66

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The SL differential equations for ϕ1 and ϕ2 are

Lϕ1 + λσϕ1 = 0 (12)Lϕ2 + λσϕ2 = 0 (13)

Multiplying (12) by ϕ2 and (13) by ϕ1 and taking the difference yields

ϕ2Lϕ1 − ϕ1Lϕ2 = 0.

Lagrange’s identity with u = ϕ2 and v = ϕ1 gives

ϕ2Lϕ1 − ϕ1Lϕ2 =d

dx[p(ϕ2ϕ

′1 − ϕ1ϕ

′2)]

= 0.

Consequently,

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= const = C. (14)

To determine the constant C we use the boundary conditions.

[email protected] MATH 461 – Chapter 5 66

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The SL differential equations for ϕ1 and ϕ2 are

Lϕ1 + λσϕ1 = 0 (12)Lϕ2 + λσϕ2 = 0 (13)

Multiplying (12) by ϕ2 and (13) by ϕ1 and taking the difference yields

ϕ2Lϕ1 − ϕ1Lϕ2 = 0.

Lagrange’s identity with u = ϕ2 and v = ϕ1 gives

ϕ2Lϕ1 − ϕ1Lϕ2 =d

dx[p(ϕ2ϕ

′1 − ϕ1ϕ

′2)]

= 0.

Consequently,

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= const = C. (14)

To determine the constant C we use the boundary conditions.

[email protected] MATH 461 – Chapter 5 66

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The SL differential equations for ϕ1 and ϕ2 are

Lϕ1 + λσϕ1 = 0 (12)Lϕ2 + λσϕ2 = 0 (13)

Multiplying (12) by ϕ2 and (13) by ϕ1 and taking the difference yields

ϕ2Lϕ1 − ϕ1Lϕ2 = 0.

Lagrange’s identity with u = ϕ2 and v = ϕ1 gives

ϕ2Lϕ1 − ϕ1Lϕ2 =d

dx[p(ϕ2ϕ

′1 − ϕ1ϕ

′2)]

= 0.

Consequently,

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= const = C. (14)

To determine the constant C we use the boundary conditions.

[email protected] MATH 461 – Chapter 5 66

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

The SL differential equations for ϕ1 and ϕ2 are

Lϕ1 + λσϕ1 = 0 (12)Lϕ2 + λσϕ2 = 0 (13)

Multiplying (12) by ϕ2 and (13) by ϕ1 and taking the difference yields

ϕ2Lϕ1 − ϕ1Lϕ2 = 0.

Lagrange’s identity with u = ϕ2 and v = ϕ1 gives

ϕ2Lϕ1 − ϕ1Lϕ2 =d

dx[p(ϕ2ϕ

′1 − ϕ1ϕ

′2)]

= 0.

Consequently,

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= const = C. (14)

To determine the constant C we use the boundary conditions.

[email protected] MATH 461 – Chapter 5 66

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We actually discuss three cases:Case I: regular SL BCs, i.e., for i = 1,2

β1ϕi(a) + β2ϕ′i(a) = 0

β3ϕi(b) + β4ϕ′i(b) = 0

Case II: singularity-type BCs, e.g., for i = 1,2

|ϕi(a)| <∞

Case III: periodic BCs, e.g., for i = 1,2

ϕi(−L) = ϕi(L)ϕ′i(−L) = ϕ′i(L)

[email protected] MATH 461 – Chapter 5 67

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We actually discuss three cases:Case I: regular SL BCs, i.e., for i = 1,2

β1ϕi(a) + β2ϕ′i(a) = 0

β3ϕi(b) + β4ϕ′i(b) = 0

Case II: singularity-type BCs, e.g., for i = 1,2

|ϕi(a)| <∞

Case III: periodic BCs, e.g., for i = 1,2

ϕi(−L) = ϕi(L)ϕ′i(−L) = ϕ′i(L)

[email protected] MATH 461 – Chapter 5 67

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

We actually discuss three cases:Case I: regular SL BCs, i.e., for i = 1,2

β1ϕi(a) + β2ϕ′i(a) = 0

β3ϕi(b) + β4ϕ′i(b) = 0

Case II: singularity-type BCs, e.g., for i = 1,2

|ϕi(a)| <∞

Case III: periodic BCs, e.g., for i = 1,2

ϕi(−L) = ϕi(L)ϕ′i(−L) = ϕ′i(L)

[email protected] MATH 461 – Chapter 5 67

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case I: It actually suffices for the BCs to hold for both ϕ1 and ϕ2 atonly one end, say at x = a.

Then

β1ϕi(a) + β2ϕ′i(a) = 0

⇐⇒ ϕ′i(a) = −β1β2ϕi(a), i = 1,2

This implies that (14) (at x = a) becomes

C = p(a)[ϕ2(a)ϕ′1(a)− ϕ1(a)ϕ′2(a)

]= p(a)

[ϕ2(a)

(−β1

β2ϕ1(a)

)− ϕ1(a)

(−β1

β2ϕ2(a)

)]= 0

[email protected] MATH 461 – Chapter 5 68

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case I: It actually suffices for the BCs to hold for both ϕ1 and ϕ2 atonly one end, say at x = a.Then

β1ϕi(a) + β2ϕ′i(a) = 0

⇐⇒ ϕ′i(a) = −β1β2ϕi(a), i = 1,2

This implies that (14) (at x = a) becomes

C = p(a)[ϕ2(a)ϕ′1(a)− ϕ1(a)ϕ′2(a)

]= p(a)

[ϕ2(a)

(−β1

β2ϕ1(a)

)− ϕ1(a)

(−β1

β2ϕ2(a)

)]= 0

[email protected] MATH 461 – Chapter 5 68

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case I: It actually suffices for the BCs to hold for both ϕ1 and ϕ2 atonly one end, say at x = a.Then

β1ϕi(a) + β2ϕ′i(a) = 0

⇐⇒ ϕ′i(a) = −β1β2ϕi(a), i = 1,2

This implies that (14) (at x = a) becomes

C = p(a)[ϕ2(a)ϕ′1(a)− ϕ1(a)ϕ′2(a)

]= p(a)

[ϕ2(a)

(−β1

β2ϕ1(a)

)− ϕ1(a)

(−β1

β2ϕ2(a)

)]= 0

[email protected] MATH 461 – Chapter 5 68

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case I: It actually suffices for the BCs to hold for both ϕ1 and ϕ2 atonly one end, say at x = a.Then

β1ϕi(a) + β2ϕ′i(a) = 0

⇐⇒ ϕ′i(a) = −β1β2ϕi(a), i = 1,2

This implies that (14) (at x = a) becomes

C = p(a)[ϕ2(a)ϕ′1(a)− ϕ1(a)ϕ′2(a)

]

= p(a)[ϕ2(a)

(−β1

β2ϕ1(a)

)− ϕ1(a)

(−β1

β2ϕ2(a)

)]= 0

[email protected] MATH 461 – Chapter 5 68

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case I: It actually suffices for the BCs to hold for both ϕ1 and ϕ2 atonly one end, say at x = a.Then

β1ϕi(a) + β2ϕ′i(a) = 0

⇐⇒ ϕ′i(a) = −β1β2ϕi(a), i = 1,2

This implies that (14) (at x = a) becomes

C = p(a)[ϕ2(a)ϕ′1(a)− ϕ1(a)ϕ′2(a)

]= p(a)

[ϕ2(a)

(−β1

β2ϕ1(a)

)− ϕ1(a)

(−β1

β2ϕ2(a)

)]

= 0

[email protected] MATH 461 – Chapter 5 68

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case I: It actually suffices for the BCs to hold for both ϕ1 and ϕ2 atonly one end, say at x = a.Then

β1ϕi(a) + β2ϕ′i(a) = 0

⇐⇒ ϕ′i(a) = −β1β2ϕi(a), i = 1,2

This implies that (14) (at x = a) becomes

C = p(a)[ϕ2(a)ϕ′1(a)− ϕ1(a)ϕ′2(a)

]= p(a)

[ϕ2(a)

(−β1

β2ϕ1(a)

)− ϕ1(a)

(−β1

β2ϕ2(a)

)]= 0

[email protected] MATH 461 – Chapter 5 68

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since C = 0, equation (14) now reads

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= C = 0,

and since p(x) > 0 for any regular SL problem we have[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= 0. (15)

Now, we note that for ϕ2 6≡ 0 (an eigenfunction) the quotient rule gives

ddx

(ϕ1

ϕ2

)=ϕ′1ϕ2 − ϕ1ϕ

′2

ϕ22

.

Thus, (15) is equivalent to

ddx

(ϕ1

ϕ2

)= 0 =⇒ ϕ1

ϕ2= const or ϕ1 = cϕ2,

which shows that the eigenfunctions of a regular SL problem areunique up to a constant factor. �

[email protected] MATH 461 – Chapter 5 69

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since C = 0, equation (14) now reads

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= C = 0,

and since p(x) > 0 for any regular SL problem we have[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= 0. (15)

Now, we note that for ϕ2 6≡ 0 (an eigenfunction) the quotient rule gives

ddx

(ϕ1

ϕ2

)=ϕ′1ϕ2 − ϕ1ϕ

′2

ϕ22

.

Thus, (15) is equivalent to

ddx

(ϕ1

ϕ2

)= 0 =⇒ ϕ1

ϕ2= const or ϕ1 = cϕ2,

which shows that the eigenfunctions of a regular SL problem areunique up to a constant factor. �

[email protected] MATH 461 – Chapter 5 69

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since C = 0, equation (14) now reads

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= C = 0,

and since p(x) > 0 for any regular SL problem we have[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= 0. (15)

Now, we note that for ϕ2 6≡ 0 (an eigenfunction) the quotient rule gives

ddx

(ϕ1

ϕ2

)=ϕ′1ϕ2 − ϕ1ϕ

′2

ϕ22

.

Thus, (15) is equivalent to

ddx

(ϕ1

ϕ2

)= 0

=⇒ ϕ1

ϕ2= const or ϕ1 = cϕ2,

which shows that the eigenfunctions of a regular SL problem areunique up to a constant factor. �

[email protected] MATH 461 – Chapter 5 69

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since C = 0, equation (14) now reads

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= C = 0,

and since p(x) > 0 for any regular SL problem we have[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= 0. (15)

Now, we note that for ϕ2 6≡ 0 (an eigenfunction) the quotient rule gives

ddx

(ϕ1

ϕ2

)=ϕ′1ϕ2 − ϕ1ϕ

′2

ϕ22

.

Thus, (15) is equivalent to

ddx

(ϕ1

ϕ2

)= 0 =⇒ ϕ1

ϕ2= const

or ϕ1 = cϕ2,

which shows that the eigenfunctions of a regular SL problem areunique up to a constant factor. �

[email protected] MATH 461 – Chapter 5 69

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Since C = 0, equation (14) now reads

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= C = 0,

and since p(x) > 0 for any regular SL problem we have[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= 0. (15)

Now, we note that for ϕ2 6≡ 0 (an eigenfunction) the quotient rule gives

ddx

(ϕ1

ϕ2

)=ϕ′1ϕ2 − ϕ1ϕ

′2

ϕ22

.

Thus, (15) is equivalent to

ddx

(ϕ1

ϕ2

)= 0 =⇒ ϕ1

ϕ2= const or ϕ1 = cϕ2,

which shows that the eigenfunctions of a regular SL problem areunique up to a constant factor. �

[email protected] MATH 461 – Chapter 5 69

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case II: If we have singularity BCs, e.g., ϕ1(a) and ϕ2(a) arebounded, then one can also show that (14)

p(x)[ϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x)

]= C

impliesϕ2(x)ϕ′1(x)− ϕ1(x)ϕ′2(x) = 0

and it follows thatϕ1(x) = cϕ2(x)

just as before. �

[email protected] MATH 461 – Chapter 5 70

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case III: For periodic BCs the eigenfunctions are in general notunique.

As an example we can consider the SL equation

ϕ′′(x) + λϕ(x) = 0

with BCs

ϕ(−L) = ϕ(L) = 0 and ϕ′(−L) = ϕ′(L) = 0

for which we know that the eigenvalues are λn =(nπ

L

)2,n = 0,1,2, . . . and, e.g.,

ϕ1(x) = cosπx or ϕ1(x) = sinπx ,

both associated with the eigenvalue λ1 =(πL

)2.

[email protected] MATH 461 – Chapter 5 71

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Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

Case III: For periodic BCs the eigenfunctions are in general notunique.As an example we can consider the SL equation

ϕ′′(x) + λϕ(x) = 0

with BCs

ϕ(−L) = ϕ(L) = 0 and ϕ′(−L) = ϕ′(L) = 0

for which we know that the eigenvalues are λn =(nπ

L

)2,n = 0,1,2, . . . and, e.g.,

ϕ1(x) = cosπx or ϕ1(x) = sinπx ,

both associated with the eigenvalue λ1 =(πL

)2.

[email protected] MATH 461 – Chapter 5 71

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The Rayleigh Quotient

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 72

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The Rayleigh Quotient

Property 6 was about the Rayleigh quotient

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

which provides a useful relation between the eigenvalue λ and itsassociated eigenfunction ϕ that goes beyond the SL differentialequation itself.

We will now prove that this relation holds for any regular SL problem.

[email protected] MATH 461 – Chapter 5 73

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The Rayleigh Quotient

Property 6 was about the Rayleigh quotient

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

which provides a useful relation between the eigenvalue λ and itsassociated eigenfunction ϕ that goes beyond the SL differentialequation itself.

We will now prove that this relation holds for any regular SL problem.

[email protected] MATH 461 – Chapter 5 73

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The Rayleigh Quotient

We start with the SL differential equation

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0, x ∈ (a,b),

multiply by ϕ and integrate from a to b to get∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx + λ

∫ b

aσ(x)ϕ2(x)dx = 0.

Since ϕ is an eigenfunction and σ > 0 we have∫ b

aσ(x)ϕ2(x)dx > 0.

Therefore

λ =

−∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx∫ b

aσ(x)ϕ2(x)dx

,

which has the correct denominator.

[email protected] MATH 461 – Chapter 5 74

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The Rayleigh Quotient

We start with the SL differential equation

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0, x ∈ (a,b),

multiply by ϕ and integrate from a to b to get∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx + λ

∫ b

aσ(x)ϕ2(x)dx = 0.

Since ϕ is an eigenfunction and σ > 0 we have∫ b

aσ(x)ϕ2(x)dx > 0.

Therefore

λ =

−∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx∫ b

aσ(x)ϕ2(x)dx

,

which has the correct denominator.

[email protected] MATH 461 – Chapter 5 74

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The Rayleigh Quotient

We start with the SL differential equation

ddx(p(x)ϕ′(x)

)+ q(x)ϕ(x) + λσ(x)ϕ(x) = 0, x ∈ (a,b),

multiply by ϕ and integrate from a to b to get∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx + λ

∫ b

aσ(x)ϕ2(x)dx = 0.

Since ϕ is an eigenfunction and σ > 0 we have∫ b

aσ(x)ϕ2(x)dx > 0.

Therefore

λ =

−∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx∫ b

aσ(x)ϕ2(x)dx

,

which has the correct [email protected] MATH 461 – Chapter 5 74

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The Rayleigh Quotient

We now consider the numerator

−∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx

= −∫ b

aϕ(x)

ddx(p(x)ϕ′(x)

)dx −

∫ b

aq(x)ϕ2(x)dx

Therefore

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

,

the Rayleigh quotient. �

[email protected] MATH 461 – Chapter 5 75

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The Rayleigh Quotient

We now consider the numerator

−∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx

= −∫ b

aϕ(x)︸︷︷︸= u

du = ϕ′(x)dx

ddx(p(x)ϕ′(x)

)dx︸ ︷︷ ︸

= dvv = p(x)ϕ′(x)

−∫ b

aq(x)ϕ2(x)dx

Therefore

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

,

the Rayleigh quotient. �

[email protected] MATH 461 – Chapter 5 75

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The Rayleigh Quotient

We now consider the numerator

−∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx

= −∫ b

aϕ(x)︸︷︷︸= u

du = ϕ′(x)dx

ddx(p(x)ϕ′(x)

)dx︸ ︷︷ ︸

= dvv = p(x)ϕ′(x)

−∫ b

aq(x)ϕ2(x)dx

= − p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

ap(x)

[ϕ′(x)

]2 dx −∫ b

aq(x)ϕ2(x)dx

Therefore

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

,

the Rayleigh quotient. �

[email protected] MATH 461 – Chapter 5 75

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The Rayleigh Quotient

We now consider the numerator

−∫ b

aϕ(x)

[d

dx(p(x)ϕ′(x)

)+ q(x)ϕ(x)

]dx

= −∫ b

aϕ(x)︸︷︷︸= u

du = ϕ′(x)dx

ddx(p(x)ϕ′(x)

)dx︸ ︷︷ ︸

= dvv = p(x)ϕ′(x)

−∫ b

aq(x)ϕ2(x)dx

= − p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

ap(x)

[ϕ′(x)

]2 dx −∫ b

aq(x)ϕ2(x)dx

Therefore

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

,

the Rayleigh quotient. �

[email protected] MATH 461 – Chapter 5 75

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The Rayleigh Quotient

We now show under what condition a regular SL problem can neverhave negative eigenvalues.

Theorem

If −pϕϕ′|ba ≥ 0 and q ≤ 0 then all eigenvalues of a regular SL problemare nonnegative.

Proof.We use the Rayleigh quotient

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

to show that λ ≥ 0.

[email protected] MATH 461 – Chapter 5 76

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The Rayleigh Quotient

We now show under what condition a regular SL problem can neverhave negative eigenvalues.

Theorem

If −pϕϕ′|ba ≥ 0 and q ≤ 0 then all eigenvalues of a regular SL problemare nonnegative.

Proof.We use the Rayleigh quotient

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

to show that λ ≥ 0.

[email protected] MATH 461 – Chapter 5 76

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The Rayleigh Quotient

We now show under what condition a regular SL problem can neverhave negative eigenvalues.

Theorem

If −pϕϕ′|ba ≥ 0 and q ≤ 0 then all eigenvalues of a regular SL problemare nonnegative.

Proof.We use the Rayleigh quotient

λ =

− p(x)ϕ(x)ϕ′(x)∣∣ba +

∫ b

a

(p(x)

[ϕ′(x)

]2 − q(x)ϕ2(x))

dx∫ b

aϕ2(x)σ(x)dx

to show that λ ≥ 0.

[email protected] MATH 461 – Chapter 5 76

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The Rayleigh Quotient

We look at each of the terms in the Rayleigh quotient separately:

−p(x)ϕ(x)ϕ′(x)|ba ≥ 0 by assumption,∫ b

ap(x)

[ϕ′(x)

]2 dx ≥ 0 since p(x) > 0 for any regular SL problem

and [ϕ′(x)]2 ≥ 0,

−∫ b

aq(x)ϕ2(x)dx ≥ 0 since q(x) ≤ 0 by assumption and

ϕ2(x) > 0,∫ b

aϕ2(x)σ(x)dx > 0 since σ(x) > 0 for any regular SL problem

and ϕ2(x) > 0.

Therefore the Rayleigh quotient is nonnegative �

[email protected] MATH 461 – Chapter 5 77

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The Rayleigh Quotient

We look at each of the terms in the Rayleigh quotient separately:−p(x)ϕ(x)ϕ′(x)|ba ≥ 0 by assumption,

∫ b

ap(x)

[ϕ′(x)

]2 dx ≥ 0 since p(x) > 0 for any regular SL problem

and [ϕ′(x)]2 ≥ 0,

−∫ b

aq(x)ϕ2(x)dx ≥ 0 since q(x) ≤ 0 by assumption and

ϕ2(x) > 0,∫ b

aϕ2(x)σ(x)dx > 0 since σ(x) > 0 for any regular SL problem

and ϕ2(x) > 0.

Therefore the Rayleigh quotient is nonnegative �

[email protected] MATH 461 – Chapter 5 77

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The Rayleigh Quotient

We look at each of the terms in the Rayleigh quotient separately:−p(x)ϕ(x)ϕ′(x)|ba ≥ 0 by assumption,∫ b

ap(x)

[ϕ′(x)

]2 dx ≥ 0 since p(x) > 0 for any regular SL problem

and [ϕ′(x)]2 ≥ 0,

−∫ b

aq(x)ϕ2(x)dx ≥ 0 since q(x) ≤ 0 by assumption and

ϕ2(x) > 0,∫ b

aϕ2(x)σ(x)dx > 0 since σ(x) > 0 for any regular SL problem

and ϕ2(x) > 0.

Therefore the Rayleigh quotient is nonnegative �

[email protected] MATH 461 – Chapter 5 77

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The Rayleigh Quotient

We look at each of the terms in the Rayleigh quotient separately:−p(x)ϕ(x)ϕ′(x)|ba ≥ 0 by assumption,∫ b

ap(x)

[ϕ′(x)

]2 dx ≥ 0 since p(x) > 0 for any regular SL problem

and [ϕ′(x)]2 ≥ 0,

−∫ b

aq(x)ϕ2(x)dx ≥ 0 since q(x) ≤ 0 by assumption and

ϕ2(x) > 0,

∫ b

aϕ2(x)σ(x)dx > 0 since σ(x) > 0 for any regular SL problem

and ϕ2(x) > 0.

Therefore the Rayleigh quotient is nonnegative �

[email protected] MATH 461 – Chapter 5 77

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The Rayleigh Quotient

We look at each of the terms in the Rayleigh quotient separately:−p(x)ϕ(x)ϕ′(x)|ba ≥ 0 by assumption,∫ b

ap(x)

[ϕ′(x)

]2 dx ≥ 0 since p(x) > 0 for any regular SL problem

and [ϕ′(x)]2 ≥ 0,

−∫ b

aq(x)ϕ2(x)dx ≥ 0 since q(x) ≤ 0 by assumption and

ϕ2(x) > 0,∫ b

aϕ2(x)σ(x)dx > 0 since σ(x) > 0 for any regular SL problem

and ϕ2(x) > 0.

Therefore the Rayleigh quotient is nonnegative �

[email protected] MATH 461 – Chapter 5 77

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The Rayleigh Quotient

We look at each of the terms in the Rayleigh quotient separately:−p(x)ϕ(x)ϕ′(x)|ba ≥ 0 by assumption,∫ b

ap(x)

[ϕ′(x)

]2 dx ≥ 0 since p(x) > 0 for any regular SL problem

and [ϕ′(x)]2 ≥ 0,

−∫ b

aq(x)ϕ2(x)dx ≥ 0 since q(x) ≤ 0 by assumption and

ϕ2(x) > 0,∫ b

aϕ2(x)σ(x)dx > 0 since σ(x) > 0 for any regular SL problem

and ϕ2(x) > 0.

Therefore the Rayleigh quotient is nonnegative �

[email protected] MATH 461 – Chapter 5 77

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The Rayleigh Quotient

A Minimization PrincipleIf we define

RQ[u] =− p(x)u(x)u′(x)

∣∣ba +

∫ b

a

(p(x)

[u′(x)

]2 − q(x)u2(x))

dx∫ b

au2(x)σ(x)dx

,

the Rayleigh quotient of u, then we know that all SLeigenvalue-eigenfunction pairs satisfy λ = RQ[ϕ].

TheoremFor any regular SL problem the smallest eigenvalue λ1 is given by

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u].

Moreover, the minimum is attained only for u = ϕ1.

[email protected] MATH 461 – Chapter 5 78

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The Rayleigh Quotient

A Minimization PrincipleIf we define

RQ[u] =− p(x)u(x)u′(x)

∣∣ba +

∫ b

a

(p(x)

[u′(x)

]2 − q(x)u2(x))

dx∫ b

au2(x)σ(x)dx

,

the Rayleigh quotient of u, then we know that all SLeigenvalue-eigenfunction pairs satisfy λ = RQ[ϕ].

TheoremFor any regular SL problem the smallest eigenvalue λ1 is given by

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u].

Moreover, the minimum is attained only for u = ϕ1.

[email protected] MATH 461 – Chapter 5 78

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The Rayleigh Quotient

A Minimization PrincipleIf we define

RQ[u] =− p(x)u(x)u′(x)

∣∣ba +

∫ b

a

(p(x)

[u′(x)

]2 − q(x)u2(x))

dx∫ b

au2(x)σ(x)dx

,

the Rayleigh quotient of u, then we know that all SLeigenvalue-eigenfunction pairs satisfy λ = RQ[ϕ].

TheoremFor any regular SL problem the smallest eigenvalue λ1 is given by

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u].

Moreover, the minimum is attained only for u = ϕ1.

[email protected] MATH 461 – Chapter 5 78

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The Rayleigh Quotient

Before we prove the theorem, let’s think about how it might be useful.

Recall that we showed earlier that the solution of the heat equationfor a nonuniform rod problem for large values of t is characterizedmostly by the smallest eigenvalue λ1 and its associatedeigenfunction ϕ1. This is typical, and therefore we want to find λ1.Finding the minimum over all continuous functions satisfying theBCs is a very challenging – often impossible – task.Instead, we choose some continuous trial functions which satisfythe BCs, but need not satisfy the differential equation, andminimize over them.

If uT is such as trial function, then RQ[uT ] is an upper bound for λ1since

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u] ≤ RQ[uT ].

Ideally, we would like to find a “good” trial function uT that provides asmallest possible upper bound.

[email protected] MATH 461 – Chapter 5 79

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The Rayleigh Quotient

Before we prove the theorem, let’s think about how it might be useful.

Recall that we showed earlier that the solution of the heat equationfor a nonuniform rod problem for large values of t is characterizedmostly by the smallest eigenvalue λ1 and its associatedeigenfunction ϕ1. This is typical, and therefore we want to find λ1.

Finding the minimum over all continuous functions satisfying theBCs is a very challenging – often impossible – task.Instead, we choose some continuous trial functions which satisfythe BCs, but need not satisfy the differential equation, andminimize over them.

If uT is such as trial function, then RQ[uT ] is an upper bound for λ1since

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u] ≤ RQ[uT ].

Ideally, we would like to find a “good” trial function uT that provides asmallest possible upper bound.

[email protected] MATH 461 – Chapter 5 79

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The Rayleigh Quotient

Before we prove the theorem, let’s think about how it might be useful.

Recall that we showed earlier that the solution of the heat equationfor a nonuniform rod problem for large values of t is characterizedmostly by the smallest eigenvalue λ1 and its associatedeigenfunction ϕ1. This is typical, and therefore we want to find λ1.Finding the minimum over all continuous functions satisfying theBCs is a very challenging – often impossible – task.

Instead, we choose some continuous trial functions which satisfythe BCs, but need not satisfy the differential equation, andminimize over them.

If uT is such as trial function, then RQ[uT ] is an upper bound for λ1since

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u] ≤ RQ[uT ].

Ideally, we would like to find a “good” trial function uT that provides asmallest possible upper bound.

[email protected] MATH 461 – Chapter 5 79

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The Rayleigh Quotient

Before we prove the theorem, let’s think about how it might be useful.

Recall that we showed earlier that the solution of the heat equationfor a nonuniform rod problem for large values of t is characterizedmostly by the smallest eigenvalue λ1 and its associatedeigenfunction ϕ1. This is typical, and therefore we want to find λ1.Finding the minimum over all continuous functions satisfying theBCs is a very challenging – often impossible – task.Instead, we choose some continuous trial functions which satisfythe BCs, but need not satisfy the differential equation, andminimize over them.

If uT is such as trial function, then RQ[uT ] is an upper bound for λ1since

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u] ≤ RQ[uT ].

Ideally, we would like to find a “good” trial function uT that provides asmallest possible upper bound.

[email protected] MATH 461 – Chapter 5 79

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The Rayleigh Quotient

Before we prove the theorem, let’s think about how it might be useful.

Recall that we showed earlier that the solution of the heat equationfor a nonuniform rod problem for large values of t is characterizedmostly by the smallest eigenvalue λ1 and its associatedeigenfunction ϕ1. This is typical, and therefore we want to find λ1.Finding the minimum over all continuous functions satisfying theBCs is a very challenging – often impossible – task.Instead, we choose some continuous trial functions which satisfythe BCs, but need not satisfy the differential equation, andminimize over them.

If uT is such as trial function, then RQ[uT ] is an upper bound for λ1since

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u] ≤ RQ[uT ].

Ideally, we would like to find a “good” trial function uT that provides asmallest possible upper bound.

[email protected] MATH 461 – Chapter 5 79

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The Rayleigh Quotient

Before we prove the theorem, let’s think about how it might be useful.

Recall that we showed earlier that the solution of the heat equationfor a nonuniform rod problem for large values of t is characterizedmostly by the smallest eigenvalue λ1 and its associatedeigenfunction ϕ1. This is typical, and therefore we want to find λ1.Finding the minimum over all continuous functions satisfying theBCs is a very challenging – often impossible – task.Instead, we choose some continuous trial functions which satisfythe BCs, but need not satisfy the differential equation, andminimize over them.

If uT is such as trial function, then RQ[uT ] is an upper bound for λ1since

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u] ≤ RQ[uT ].

Ideally, we would like to find a “good” trial function uT that provides asmallest possible upper bound.

[email protected] MATH 461 – Chapter 5 79

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The Rayleigh Quotient

ExampleConsider the SL problem

ϕ′′(x) + λϕ(x) = 0ϕ(0) = ϕ(1) = 0

We know that λn =(nπ

L

)2= n2π2, so

λ1 = π2.

This will be our benchmark against which we will compare the trialfunction approach that will give us an approximation to λ1.Note that the trial function approach can just as easily be applied tomuch more complicated problems.

RemarkIn fact, many popular numerical methods (such as the Rayleigh-Ritz,or finite element method) are based on such a minimization principle.

[email protected] MATH 461 – Chapter 5 80

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The Rayleigh Quotient

ExampleConsider the SL problem

ϕ′′(x) + λϕ(x) = 0ϕ(0) = ϕ(1) = 0

We know that λn =(nπ

L

)2= n2π2, so

λ1 = π2.

This will be our benchmark against which we will compare the trialfunction approach that will give us an approximation to λ1.Note that the trial function approach can just as easily be applied tomuch more complicated problems.

RemarkIn fact, many popular numerical methods (such as the Rayleigh-Ritz,or finite element method) are based on such a minimization principle.

[email protected] MATH 461 – Chapter 5 80

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The Rayleigh Quotient

ExampleConsider the SL problem

ϕ′′(x) + λϕ(x) = 0ϕ(0) = ϕ(1) = 0

We know that λn =(nπ

L

)2= n2π2, so

λ1 = π2.

This will be our benchmark against which we will compare the trialfunction approach that will give us an approximation to λ1.

Note that the trial function approach can just as easily be applied tomuch more complicated problems.

RemarkIn fact, many popular numerical methods (such as the Rayleigh-Ritz,or finite element method) are based on such a minimization principle.

[email protected] MATH 461 – Chapter 5 80

Page 256: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

ExampleConsider the SL problem

ϕ′′(x) + λϕ(x) = 0ϕ(0) = ϕ(1) = 0

We know that λn =(nπ

L

)2= n2π2, so

λ1 = π2.

This will be our benchmark against which we will compare the trialfunction approach that will give us an approximation to λ1.Note that the trial function approach can just as easily be applied tomuch more complicated problems.

RemarkIn fact, many popular numerical methods (such as the Rayleigh-Ritz,or finite element method) are based on such a minimization principle.

[email protected] MATH 461 – Chapter 5 80

Page 257: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

ExampleConsider the SL problem

ϕ′′(x) + λϕ(x) = 0ϕ(0) = ϕ(1) = 0

We know that λn =(nπ

L

)2= n2π2, so

λ1 = π2.

This will be our benchmark against which we will compare the trialfunction approach that will give us an approximation to λ1.Note that the trial function approach can just as easily be applied tomuch more complicated problems.

RemarkIn fact, many popular numerical methods (such as the Rayleigh-Ritz,or finite element method) are based on such a minimization principle.

[email protected] MATH 461 – Chapter 5 80

Page 258: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)The minimization principle says

λ1 = minu ∈ C(a, b)

u satisfies BCs

− p(x)u(x)u′(x)|ba +∫ b

a

(p(x) [u′(x)]2 − q(x)u2(x)

)dx∫ b

a u2(x)σ(x)dx.

Here p(x) = σ(x) = 1, q(x) = 0 and u(0) = u(1) = 0. So

λ1 = minu ∈ C(a, b)

u satisfies BCs

∫ ba [u′(x)]2 dx∫ b

a u2(x)dx.

Instead of minimizing over all continuous functions it will be mucheasier to just look at ∫ b

a

[u′T (x)

]2 dx∫ ba u2

T (x)dx(≥ λ1),

where uT is some trial function.

[email protected] MATH 461 – Chapter 5 81

Page 259: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)The minimization principle says

λ1 = minu ∈ C(a, b)

u satisfies BCs

− p(x)u(x)u′(x)|ba +∫ b

a

(p(x) [u′(x)]2 − q(x)u2(x)

)dx∫ b

a u2(x)σ(x)dx.

Here p(x) = σ(x) = 1, q(x) = 0 and u(0) = u(1) = 0. So

λ1 = minu ∈ C(a, b)

u satisfies BCs

∫ ba [u′(x)]2 dx∫ b

a u2(x)dx.

Instead of minimizing over all continuous functions it will be mucheasier to just look at ∫ b

a

[u′T (x)

]2 dx∫ ba u2

T (x)dx(≥ λ1),

where uT is some trial function.

[email protected] MATH 461 – Chapter 5 81

Page 260: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)The minimization principle says

λ1 = minu ∈ C(a, b)

u satisfies BCs

− p(x)u(x)u′(x)|ba +∫ b

a

(p(x) [u′(x)]2 − q(x)u2(x)

)dx∫ b

a u2(x)σ(x)dx.

Here p(x) = σ(x) = 1, q(x) = 0 and u(0) = u(1) = 0. So

λ1 = minu ∈ C(a, b)

u satisfies BCs

∫ ba [u′(x)]2 dx∫ b

a u2(x)dx.

Instead of minimizing over all continuous functions it will be mucheasier to just look at ∫ b

a

[u′T (x)

]2 dx∫ ba u2

T (x)dx(≥ λ1),

where uT is some trial function.

[email protected] MATH 461 – Chapter 5 81

Page 261: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)Since the minimum is attained for uT = ϕ1 it is best to use as muchinformation about ϕ1 as is available.

We know thatuT needs to satisfy the BCs uT (0) = uT (1) = 0, andϕ1 (and therefore uT ) has no zeros in (0,1).

The simplest trial function with these two properties is the piecewiselinear function

uT (x) =

{x , x ≤ 1

2

1− x , x ≥ 12

with

u′T (x) =

{1, x < 1

2

−1, x > 12

[email protected] MATH 461 – Chapter 5 82

Page 262: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)Since the minimum is attained for uT = ϕ1 it is best to use as muchinformation about ϕ1 as is available.We know that

uT needs to satisfy the BCs uT (0) = uT (1) = 0, andϕ1 (and therefore uT ) has no zeros in (0,1).

The simplest trial function with these two properties is the piecewiselinear function

uT (x) =

{x , x ≤ 1

2

1− x , x ≥ 12

with

u′T (x) =

{1, x < 1

2

−1, x > 12

[email protected] MATH 461 – Chapter 5 82

Page 263: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)Since the minimum is attained for uT = ϕ1 it is best to use as muchinformation about ϕ1 as is available.We know that

uT needs to satisfy the BCs uT (0) = uT (1) = 0, andϕ1 (and therefore uT ) has no zeros in (0,1).

The simplest trial function with these two properties is the piecewiselinear function

uT (x) =

{x , x ≤ 1

2

1− x , x ≥ 12

with

u′T (x) =

{1, x < 1

2

−1, x > 12

[email protected] MATH 461 – Chapter 5 82

Page 264: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)With this choice of uT we get

λ1 ≤

∫ 1

0

[u′T (x)

]2 dx∫ 1

0u2

T (x)dx

=

∫ 12

012dx +

∫ 1

12

(−1)2dx

∫ 12

0x2dx +

∫ 1

12

(1− x)2dx

=12 + 1

2

x3

3

∣∣∣ 12

0− (1−x)3

3

∣∣∣112

=1

124 + 1

24

= 12

As a benchmark we know λ1 = π2 ≈ 9.87.Remark

Note that a different multiple of uT such as uT (x) ={

2x , x ≤ 12

2− 2x , x ≥ 12

would not improve the estimate since eigenfunctions are unique up toa constant multiple only.

[email protected] MATH 461 – Chapter 5 83

Page 265: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)With this choice of uT we get

λ1 ≤

∫ 1

0

[u′T (x)

]2 dx∫ 1

0u2

T (x)dx=

∫ 12

012dx +

∫ 1

12

(−1)2dx

∫ 12

0x2dx +

∫ 1

12

(1− x)2dx

=12 + 1

2

x3

3

∣∣∣ 12

0− (1−x)3

3

∣∣∣112

=1

124 + 1

24

= 12

As a benchmark we know λ1 = π2 ≈ 9.87.Remark

Note that a different multiple of uT such as uT (x) ={

2x , x ≤ 12

2− 2x , x ≥ 12

would not improve the estimate since eigenfunctions are unique up toa constant multiple only.

[email protected] MATH 461 – Chapter 5 83

Page 266: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)With this choice of uT we get

λ1 ≤

∫ 1

0

[u′T (x)

]2 dx∫ 1

0u2

T (x)dx=

∫ 12

012dx +

∫ 1

12

(−1)2dx

∫ 12

0x2dx +

∫ 1

12

(1− x)2dx

=12 + 1

2

x3

3

∣∣∣ 12

0− (1−x)3

3

∣∣∣112

=1

124 + 1

24

= 12

As a benchmark we know λ1 = π2 ≈ 9.87.Remark

Note that a different multiple of uT such as uT (x) ={

2x , x ≤ 12

2− 2x , x ≥ 12

would not improve the estimate since eigenfunctions are unique up toa constant multiple only.

[email protected] MATH 461 – Chapter 5 83

Page 267: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)With this choice of uT we get

λ1 ≤

∫ 1

0

[u′T (x)

]2 dx∫ 1

0u2

T (x)dx=

∫ 12

012dx +

∫ 1

12

(−1)2dx

∫ 12

0x2dx +

∫ 1

12

(1− x)2dx

=12 + 1

2

x3

3

∣∣∣ 12

0− (1−x)3

3

∣∣∣112

=1

124 + 1

24

= 12

As a benchmark we know λ1 = π2 ≈ 9.87.Remark

Note that a different multiple of uT such as uT (x) ={

2x , x ≤ 12

2− 2x , x ≥ 12

would not improve the estimate since eigenfunctions are unique up toa constant multiple only.

[email protected] MATH 461 – Chapter 5 83

Page 268: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)With this choice of uT we get

λ1 ≤

∫ 1

0

[u′T (x)

]2 dx∫ 1

0u2

T (x)dx=

∫ 12

012dx +

∫ 1

12

(−1)2dx

∫ 12

0x2dx +

∫ 1

12

(1− x)2dx

=12 + 1

2

x3

3

∣∣∣ 12

0− (1−x)3

3

∣∣∣112

=1

124 + 1

24

= 12

As a benchmark we know λ1 = π2 ≈ 9.87.Remark

Note that a different multiple of uT such as uT (x) ={

2x , x ≤ 12

2− 2x , x ≥ 12

would not improve the estimate since eigenfunctions are unique up toa constant multiple only.

[email protected] MATH 461 – Chapter 5 83

Page 269: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)With this choice of uT we get

λ1 ≤

∫ 1

0

[u′T (x)

]2 dx∫ 1

0u2

T (x)dx=

∫ 12

012dx +

∫ 1

12

(−1)2dx

∫ 12

0x2dx +

∫ 1

12

(1− x)2dx

=12 + 1

2

x3

3

∣∣∣ 12

0− (1−x)3

3

∣∣∣112

=1

124 + 1

24

= 12

As a benchmark we know λ1 = π2 ≈ 9.87.

Remark

Note that a different multiple of uT such as uT (x) ={

2x , x ≤ 12

2− 2x , x ≥ 12

would not improve the estimate since eigenfunctions are unique up toa constant multiple only.

[email protected] MATH 461 – Chapter 5 83

Page 270: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)With this choice of uT we get

λ1 ≤

∫ 1

0

[u′T (x)

]2 dx∫ 1

0u2

T (x)dx=

∫ 12

012dx +

∫ 1

12

(−1)2dx

∫ 12

0x2dx +

∫ 1

12

(1− x)2dx

=12 + 1

2

x3

3

∣∣∣ 12

0− (1−x)3

3

∣∣∣112

=1

124 + 1

24

= 12

As a benchmark we know λ1 = π2 ≈ 9.87.Remark

Note that a different multiple of uT such as uT (x) ={

2x , x ≤ 12

2− 2x , x ≥ 12

would not improve the estimate since eigenfunctions are unique up toa constant multiple only.

[email protected] MATH 461 – Chapter 5 83

Page 271: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)We can do better if we take a trial function that better resembles theactual eigenfunction (which, of course, we wouldn’t know in general).

Figure: Plots of piecewise linear uT (left), actual eigenfunction ϕ1 (middle),and quadratic uT (right).

[email protected] MATH 461 – Chapter 5 84

Page 272: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)We can do better if we take a trial function that better resembles theactual eigenfunction (which, of course, we wouldn’t know in general).

Figure: Plots of piecewise linear uT (left), actual eigenfunction ϕ1 (middle),and quadratic uT (right).

[email protected] MATH 461 – Chapter 5 84

Page 273: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)We can do better if we take a trial function that better resembles theactual eigenfunction (which, of course, we wouldn’t know in general).

Figure: Plots of piecewise linear uT (left), actual eigenfunction ϕ1 (middle),and quadratic uT (right).

[email protected] MATH 461 – Chapter 5 84

Page 274: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)For example (a factor of 4 is not important),

uT (x) = x − x2 with u′T (x) = 1− 2x

gives us the much better (since smaller) upper bound

λ1 ≤∫ 1

0

[u′T (x)

]2 dx∫ 10 u2

T (x)dx=

∫ 10 (1− 2x)2dx∫ 10 (x − x2)2dx

=

∫ 10 (1− 4x + 4x2)dx∫ 10 (x

2 − 2x3 + x4)dx=

x − 2x2 + 4x3

3

∣∣∣10

x3

3 −x4

2 + x5

5

∣∣∣10

=1− 2 + 4

313 −

12 + 1

5

=13

10−15+630

= 10

[email protected] MATH 461 – Chapter 5 85

Page 275: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)For example (a factor of 4 is not important),

uT (x) = x − x2 with u′T (x) = 1− 2x

gives us the much better (since smaller) upper bound

λ1 ≤∫ 1

0

[u′T (x)

]2 dx∫ 10 u2

T (x)dx

=

∫ 10 (1− 2x)2dx∫ 10 (x − x2)2dx

=

∫ 10 (1− 4x + 4x2)dx∫ 10 (x

2 − 2x3 + x4)dx=

x − 2x2 + 4x3

3

∣∣∣10

x3

3 −x4

2 + x5

5

∣∣∣10

=1− 2 + 4

313 −

12 + 1

5

=13

10−15+630

= 10

[email protected] MATH 461 – Chapter 5 85

Page 276: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)For example (a factor of 4 is not important),

uT (x) = x − x2 with u′T (x) = 1− 2x

gives us the much better (since smaller) upper bound

λ1 ≤∫ 1

0

[u′T (x)

]2 dx∫ 10 u2

T (x)dx=

∫ 10 (1− 2x)2dx∫ 10 (x − x2)2dx

=

∫ 10 (1− 4x + 4x2)dx∫ 10 (x

2 − 2x3 + x4)dx=

x − 2x2 + 4x3

3

∣∣∣10

x3

3 −x4

2 + x5

5

∣∣∣10

=1− 2 + 4

313 −

12 + 1

5

=13

10−15+630

= 10

[email protected] MATH 461 – Chapter 5 85

Page 277: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)For example (a factor of 4 is not important),

uT (x) = x − x2 with u′T (x) = 1− 2x

gives us the much better (since smaller) upper bound

λ1 ≤∫ 1

0

[u′T (x)

]2 dx∫ 10 u2

T (x)dx=

∫ 10 (1− 2x)2dx∫ 10 (x − x2)2dx

=

∫ 10 (1− 4x + 4x2)dx∫ 10 (x

2 − 2x3 + x4)dx

=x − 2x2 + 4x3

3

∣∣∣10

x3

3 −x4

2 + x5

5

∣∣∣10

=1− 2 + 4

313 −

12 + 1

5

=13

10−15+630

= 10

[email protected] MATH 461 – Chapter 5 85

Page 278: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)For example (a factor of 4 is not important),

uT (x) = x − x2 with u′T (x) = 1− 2x

gives us the much better (since smaller) upper bound

λ1 ≤∫ 1

0

[u′T (x)

]2 dx∫ 10 u2

T (x)dx=

∫ 10 (1− 2x)2dx∫ 10 (x − x2)2dx

=

∫ 10 (1− 4x + 4x2)dx∫ 10 (x

2 − 2x3 + x4)dx=

x − 2x2 + 4x3

3

∣∣∣10

x3

3 −x4

2 + x5

5

∣∣∣10

=1− 2 + 4

313 −

12 + 1

5

=13

10−15+630

= 10

[email protected] MATH 461 – Chapter 5 85

Page 279: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)For example (a factor of 4 is not important),

uT (x) = x − x2 with u′T (x) = 1− 2x

gives us the much better (since smaller) upper bound

λ1 ≤∫ 1

0

[u′T (x)

]2 dx∫ 10 u2

T (x)dx=

∫ 10 (1− 2x)2dx∫ 10 (x − x2)2dx

=

∫ 10 (1− 4x + 4x2)dx∫ 10 (x

2 − 2x3 + x4)dx=

x − 2x2 + 4x3

3

∣∣∣10

x3

3 −x4

2 + x5

5

∣∣∣10

=1− 2 + 4

313 −

12 + 1

5

=13

10−15+630

= 10

[email protected] MATH 461 – Chapter 5 85

Page 280: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)For example (a factor of 4 is not important),

uT (x) = x − x2 with u′T (x) = 1− 2x

gives us the much better (since smaller) upper bound

λ1 ≤∫ 1

0

[u′T (x)

]2 dx∫ 10 u2

T (x)dx=

∫ 10 (1− 2x)2dx∫ 10 (x − x2)2dx

=

∫ 10 (1− 4x + 4x2)dx∫ 10 (x

2 − 2x3 + x4)dx=

x − 2x2 + 4x3

3

∣∣∣10

x3

3 −x4

2 + x5

5

∣∣∣10

=1− 2 + 4

313 −

12 + 1

5

=13

10−15+630

= 10

[email protected] MATH 461 – Chapter 5 85

Page 281: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Example (cont.)For example (a factor of 4 is not important),

uT (x) = x − x2 with u′T (x) = 1− 2x

gives us the much better (since smaller) upper bound

λ1 ≤∫ 1

0

[u′T (x)

]2 dx∫ 10 u2

T (x)dx=

∫ 10 (1− 2x)2dx∫ 10 (x − x2)2dx

=

∫ 10 (1− 4x + 4x2)dx∫ 10 (x

2 − 2x3 + x4)dx=

x − 2x2 + 4x3

3

∣∣∣10

x3

3 −x4

2 + x5

5

∣∣∣10

=1− 2 + 4

313 −

12 + 1

5

=13

10−15+630

= 10

[email protected] MATH 461 – Chapter 5 85

Page 282: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Proof. (of the minimization principle)According to the theorem we want to show

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u]

= minu ∈ C(a, b)

u satisfies BCs

− p(x)u(x)u′(x)|ba +∫ b

a

(p(x) [u′(x)]2 − q(x)u2(x)

)dx∫ b

a u2(x)σ(x)dx.

For the proof it is better to deal with an equivalent formulation of theRayleigh quotient (prior to the application of integration by parts):

RQ[u] =−∫ b

a

(u(x) d

dx [p(x)u′(x)] + q(x)u2(x))

dx∫ ba u2(x)σ(x)dx

=−∫ b

a u(x)(Lu)(x)dx∫ ba u2(x)σ(x)dx

(16)

[email protected] MATH 461 – Chapter 5 86

Page 283: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Proof. (of the minimization principle)According to the theorem we want to show

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u]

= minu ∈ C(a, b)

u satisfies BCs

− p(x)u(x)u′(x)|ba +∫ b

a

(p(x) [u′(x)]2 − q(x)u2(x)

)dx∫ b

a u2(x)σ(x)dx.

For the proof it is better to deal with an equivalent formulation of theRayleigh quotient (prior to the application of integration by parts):

RQ[u] =−∫ b

a

(u(x) d

dx [p(x)u′(x)] + q(x)u2(x))

dx∫ ba u2(x)σ(x)dx

=−∫ b

a u(x)(Lu)(x)dx∫ ba u2(x)σ(x)dx

(16)

[email protected] MATH 461 – Chapter 5 86

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The Rayleigh Quotient

Proof. (of the minimization principle)According to the theorem we want to show

λ1 = minu ∈ C(a, b)

u satisfies BCs

RQ[u]

= minu ∈ C(a, b)

u satisfies BCs

− p(x)u(x)u′(x)|ba +∫ b

a

(p(x) [u′(x)]2 − q(x)u2(x)

)dx∫ b

a u2(x)σ(x)dx.

For the proof it is better to deal with an equivalent formulation of theRayleigh quotient (prior to the application of integration by parts):

RQ[u] =−∫ b

a

(u(x) d

dx [p(x)u′(x)] + q(x)u2(x))

dx∫ ba u2(x)σ(x)dx

=−∫ b

a u(x)(Lu)(x)dx∫ ba u2(x)σ(x)dx

(16)

[email protected] MATH 461 – Chapter 5 86

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The Rayleigh Quotient

The eigenfunction expansion for u is given by

u(x) =∞∑

n=1

anϕn(x). (17)

If u is continuous and u and ϕ satisfy the same BCs, then linearityallows us to write1

(Lu)(x) = L

( ∞∑n=1

anϕn

)(x) =

∞∑n=1

an(Lϕn)(x).

Now, since the ϕn are eigenfunctions we know from the SL DE

Lϕn = −λnσϕn

and so we get an eigenfunction expansion for Lu

(Lu)(x) = −∞∑

n=1

anλnσ(x)ϕn(x). (18)

1This isn’t actually proved until Chapter 7

[email protected] MATH 461 – Chapter 5 87

Page 286: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

The eigenfunction expansion for u is given by

u(x) =∞∑

n=1

anϕn(x). (17)

If u is continuous and u and ϕ satisfy the same BCs, then linearityallows us to write1

(Lu)(x) = L

( ∞∑n=1

anϕn

)(x)

=∞∑

n=1

an(Lϕn)(x).

Now, since the ϕn are eigenfunctions we know from the SL DE

Lϕn = −λnσϕn

and so we get an eigenfunction expansion for Lu

(Lu)(x) = −∞∑

n=1

anλnσ(x)ϕn(x). (18)

1This isn’t actually proved until Chapter [email protected] MATH 461 – Chapter 5 87

Page 287: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

The eigenfunction expansion for u is given by

u(x) =∞∑

n=1

anϕn(x). (17)

If u is continuous and u and ϕ satisfy the same BCs, then linearityallows us to write1

(Lu)(x) = L

( ∞∑n=1

anϕn

)(x) =

∞∑n=1

an(Lϕn)(x).

Now, since the ϕn are eigenfunctions we know from the SL DE

Lϕn = −λnσϕn

and so we get an eigenfunction expansion for Lu

(Lu)(x) = −∞∑

n=1

anλnσ(x)ϕn(x). (18)

1This isn’t actually proved until Chapter [email protected] MATH 461 – Chapter 5 87

Page 288: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

The eigenfunction expansion for u is given by

u(x) =∞∑

n=1

anϕn(x). (17)

If u is continuous and u and ϕ satisfy the same BCs, then linearityallows us to write1

(Lu)(x) = L

( ∞∑n=1

anϕn

)(x) =

∞∑n=1

an(Lϕn)(x).

Now, since the ϕn are eigenfunctions we know from the SL DE

Lϕn = −λnσϕn

and so we get an eigenfunction expansion for Lu

(Lu)(x) = −∞∑

n=1

anλnσ(x)ϕn(x). (18)

1This isn’t actually proved until Chapter [email protected] MATH 461 – Chapter 5 87

Page 289: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

The eigenfunction expansion for u is given by

u(x) =∞∑

n=1

anϕn(x). (17)

If u is continuous and u and ϕ satisfy the same BCs, then linearityallows us to write1

(Lu)(x) = L

( ∞∑n=1

anϕn

)(x) =

∞∑n=1

an(Lϕn)(x).

Now, since the ϕn are eigenfunctions we know from the SL DE

Lϕn = −λnσϕn

and so we get an eigenfunction expansion for Lu

(Lu)(x) = −∞∑

n=1

anλnσ(x)ϕn(x). (18)

1This isn’t actually proved until Chapter [email protected] MATH 461 – Chapter 5 87

Page 290: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

We now use the eigenfunction expansions (17) for u and (18) for Lu inequation (16) for the Rayleigh quotient to get

RQ[u] =

−∫ b

au(x)(Lu)(x)dx∫ b

au2(x)σ(x)dx

=

∫ b

a

∞∑n=1

anϕn(x)∞∑

n=1

anλnσ(x)ϕn(x)dx

∫ b

aσ(x)

∞∑n=1

anϕn(x)∞∑

n=1

anϕn(x)dx

=

∫ b

a

∞∑m=1

∞∑n=1

amanϕm(x)ϕn(x)λnσ(x)dx

∫ b

a

∞∑m=1

∞∑n=1

amanϕm(x)ϕn(x)σ(x)dx

.

[email protected] MATH 461 – Chapter 5 88

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The Rayleigh Quotient

We now use the eigenfunction expansions (17) for u and (18) for Lu inequation (16) for the Rayleigh quotient to get

RQ[u] =

−∫ b

au(x)(Lu)(x)dx∫ b

au2(x)σ(x)dx

=

∫ b

a

∞∑n=1

anϕn(x)∞∑

n=1

anλnσ(x)ϕn(x)dx

∫ b

aσ(x)

∞∑n=1

anϕn(x)∞∑

n=1

anϕn(x)dx

=

∫ b

a

∞∑m=1

∞∑n=1

amanϕm(x)ϕn(x)λnσ(x)dx

∫ b

a

∞∑m=1

∞∑n=1

amanϕm(x)ϕn(x)σ(x)dx

.

[email protected] MATH 461 – Chapter 5 88

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The Rayleigh Quotient

We now use the eigenfunction expansions (17) for u and (18) for Lu inequation (16) for the Rayleigh quotient to get

RQ[u] =

−∫ b

au(x)(Lu)(x)dx∫ b

au2(x)σ(x)dx

=

∫ b

a

∞∑n=1

anϕn(x)∞∑

n=1

anλnσ(x)ϕn(x)dx

∫ b

aσ(x)

∞∑n=1

anϕn(x)∞∑

n=1

anϕn(x)dx

=

∫ b

a

∞∑m=1

∞∑n=1

amanϕm(x)ϕn(x)λnσ(x)dx

∫ b

a

∞∑m=1

∞∑n=1

amanϕm(x)ϕn(x)σ(x)dx

.

[email protected] MATH 461 – Chapter 5 88

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The Rayleigh Quotient

Interchange of integration and infinite summation gives

RQ[u] =

∞∑m=1

∞∑n=1

amanλn

∫ b

aϕm(x)ϕn(x)σ(x)dx

∞∑m=1

∞∑n=1

aman

∫ b

aϕm(x)ϕn(x)σ(x)dx

and orthogonality of the eigenfunctions, i.e.,∫ b

a ϕm(x)ϕn(x)σ(x)dx = 0whenever m 6= n, reduces this to

RQ[u] =

∞∑n=1

a2nλn

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

.

[email protected] MATH 461 – Chapter 5 89

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The Rayleigh Quotient

Interchange of integration and infinite summation gives

RQ[u] =

∞∑m=1

∞∑n=1

amanλn

∫ b

aϕm(x)ϕn(x)σ(x)dx

∞∑m=1

∞∑n=1

aman

∫ b

aϕm(x)ϕn(x)σ(x)dx

and orthogonality of the eigenfunctions, i.e.,∫ b

a ϕm(x)ϕn(x)σ(x)dx = 0whenever m 6= n, reduces this to

RQ[u] =

∞∑n=1

a2nλn

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

.

[email protected] MATH 461 – Chapter 5 89

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The Rayleigh Quotient

Since the eigenvalues are ordered, i.e., λ1 < λ2 < . . ., we can estimate

∞∑n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2nλn

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= RQ[u]

with “=” possible only if an = 0 for all n > 1, i.e., if the eigenfunctionexpansion of u consisted only of a1ϕ1.

[email protected] MATH 461 – Chapter 5 90

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The Rayleigh Quotient

Since the eigenvalues are ordered, i.e., λ1 < λ2 < . . ., we can estimate

∞∑n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2nλn

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= RQ[u]

with “=” possible only if an = 0 for all n > 1, i.e., if the eigenfunctionexpansion of u consisted only of a1ϕ1.

[email protected] MATH 461 – Chapter 5 90

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The Rayleigh Quotient

Since the eigenvalues are ordered, i.e., λ1 < λ2 < . . ., we can estimate

∞∑n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2nλn

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= RQ[u]

with “=” possible only if an = 0 for all n > 1, i.e., if the eigenfunctionexpansion of u consisted only of a1ϕ1.

[email protected] MATH 461 – Chapter 5 90

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The Rayleigh Quotient

Notice that∞∑

n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= λ1

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

and thereforeλ1 ≤ RQ[u]

with equality only if u = a1ϕ1.

Therefore, the Rayleigh quotient RQ[u] is minimized only if u is theeigenfunction corresponding to λ1. �

[email protected] MATH 461 – Chapter 5 91

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The Rayleigh Quotient

Notice that∞∑

n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= λ1

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx︸ ︷︷ ︸=1

and thereforeλ1 ≤ RQ[u]

with equality only if u = a1ϕ1.

Therefore, the Rayleigh quotient RQ[u] is minimized only if u is theeigenfunction corresponding to λ1. �

[email protected] MATH 461 – Chapter 5 91

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The Rayleigh Quotient

Notice that∞∑

n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= λ1

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx︸ ︷︷ ︸=1

= λ1

and thereforeλ1 ≤ RQ[u]

with equality only if u = a1ϕ1.

Therefore, the Rayleigh quotient RQ[u] is minimized only if u is theeigenfunction corresponding to λ1. �

[email protected] MATH 461 – Chapter 5 91

Page 301: MATH 461: Fourier Series and Boundary Value Problems ...fass/Notes461_Ch5.pdf · Introduction Outline 1 Introduction 2 Examples 3 Sturm–Liouville Eigenvalue Problems 4 Heat Flow

The Rayleigh Quotient

Notice that∞∑

n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= λ1

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx︸ ︷︷ ︸=1

= λ1

and thereforeλ1 ≤ RQ[u]

with equality only if u = a1ϕ1.

Therefore, the Rayleigh quotient RQ[u] is minimized only if u is theeigenfunction corresponding to λ1. �

[email protected] MATH 461 – Chapter 5 91

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The Rayleigh Quotient

Notice that∞∑

n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= λ1

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx︸ ︷︷ ︸=1

= λ1

and thereforeλ1 ≤ RQ[u]

with equality only if u = a1ϕ1.

Therefore, the Rayleigh quotient RQ[u] is minimized only if u is theeigenfunction corresponding to λ1. �

[email protected] MATH 461 – Chapter 5 91

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The Rayleigh Quotient

Notice that∞∑

n=1

a2nλ1

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

= λ1

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx︸ ︷︷ ︸=1

= λ1

and thereforeλ1 ≤ RQ[u]

with equality only if u = a1ϕ1.

Therefore, the Rayleigh quotient RQ[u] is minimized only if u is theeigenfunction corresponding to λ1. �

[email protected] MATH 461 – Chapter 5 91

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The Rayleigh Quotient

RemarkOne can show that

λ2 = minu ∈ C(a, b)

u satisfies BCsu orthogonal to ϕ1

RQ[u]

and iteratively obtained analogous statements for further eigenvalues.

[email protected] MATH 461 – Chapter 5 92

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Vibrations of a Nonuniform String

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 93

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Vibrations of a Nonuniform String

For a nonuniform string we use the PDE

ρ(x)∂2u∂t2 (x , t) = T0

∂2u∂x2 (x , t)

with nonuniform density ρ, but constant tension T0 (and no externalforces).

Standard BCs and ICs are

u(0, t) = u(L, t) = 0u(x ,0) = f (x) and ∂u

∂t (x ,0) = g(x).

We will now see how far we can take the separation of variablesapproach for this problem.

[email protected] MATH 461 – Chapter 5 94

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Vibrations of a Nonuniform String

For a nonuniform string we use the PDE

ρ(x)∂2u∂t2 (x , t) = T0

∂2u∂x2 (x , t)

with nonuniform density ρ, but constant tension T0 (and no externalforces).Standard BCs and ICs are

u(0, t) = u(L, t) = 0u(x ,0) = f (x) and ∂u

∂t (x ,0) = g(x).

We will now see how far we can take the separation of variablesapproach for this problem.

[email protected] MATH 461 – Chapter 5 94

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Vibrations of a Nonuniform String

For a nonuniform string we use the PDE

ρ(x)∂2u∂t2 (x , t) = T0

∂2u∂x2 (x , t)

with nonuniform density ρ, but constant tension T0 (and no externalforces).Standard BCs and ICs are

u(0, t) = u(L, t) = 0u(x ,0) = f (x) and ∂u

∂t (x ,0) = g(x).

We will now see how far we can take the separation of variablesapproach for this problem.

[email protected] MATH 461 – Chapter 5 94

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Vibrations of a Nonuniform String

The Ansatz u(x , t) = ϕ(x)T (t) gives us

ρ(x)ϕ(x)T ′′(t) = T0ϕ′′(x)T (t)

orT ′′(t)T (t)

=T0

ρ(x)ϕ′′(x)ϕ(x)

= −λ

resulting in the two ODEs

T ′′(t) = −λT (t) (19)T0ϕ

′′(x) + λρ(x)ϕ(x) = 0 (20)

[email protected] MATH 461 – Chapter 5 95

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Vibrations of a Nonuniform String

The Ansatz u(x , t) = ϕ(x)T (t) gives us

ρ(x)ϕ(x)T ′′(t) = T0ϕ′′(x)T (t)

orT ′′(t)T (t)

=T0

ρ(x)ϕ′′(x)ϕ(x)

= −λ

resulting in the two ODEs

T ′′(t) = −λT (t) (19)T0ϕ

′′(x) + λρ(x)ϕ(x) = 0 (20)

[email protected] MATH 461 – Chapter 5 95

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Vibrations of a Nonuniform String

The Ansatz u(x , t) = ϕ(x)T (t) gives us

ρ(x)ϕ(x)T ′′(t) = T0ϕ′′(x)T (t)

orT ′′(t)T (t)

=T0

ρ(x)ϕ′′(x)ϕ(x)

= −λ

resulting in the two ODEs

T ′′(t) = −λT (t) (19)T0ϕ

′′(x) + λρ(x)ϕ(x) = 0 (20)

[email protected] MATH 461 – Chapter 5 95

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Vibrations of a Nonuniform String

Notice that the second ODE (20)

T0ϕ′′(x) + λρ(x)ϕ(x) = 0

is a Sturm–Liouville ODE with p(x) = T0, q(x) = 0 and σ(x) = ρ(x)and BCs

ϕ(0) = ϕ(L) = 0.

Due to the variable coefficient ρ(x) we don’t know how to solve thiseigenvalue problem.

Therefore, we try to get as much insight as possible into the solutionusing the general SL properties.

[email protected] MATH 461 – Chapter 5 96

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Vibrations of a Nonuniform String

Notice that the second ODE (20)

T0ϕ′′(x) + λρ(x)ϕ(x) = 0

is a Sturm–Liouville ODE with p(x) = T0, q(x) = 0 and σ(x) = ρ(x)and BCs

ϕ(0) = ϕ(L) = 0.

Due to the variable coefficient ρ(x) we don’t know how to solve thiseigenvalue problem.

Therefore, we try to get as much insight as possible into the solutionusing the general SL properties.

[email protected] MATH 461 – Chapter 5 96

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Vibrations of a Nonuniform String

Notice that the second ODE (20)

T0ϕ′′(x) + λρ(x)ϕ(x) = 0

is a Sturm–Liouville ODE with p(x) = T0, q(x) = 0 and σ(x) = ρ(x)and BCs

ϕ(0) = ϕ(L) = 0.

Due to the variable coefficient ρ(x) we don’t know how to solve thiseigenvalue problem.

Therefore, we try to get as much insight as possible into the solutionusing the general SL properties.

[email protected] MATH 461 – Chapter 5 96

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Vibrations of a Nonuniform String

We use the Rayleigh quotient to study the eigenvalues:

λ =− T0ϕ(x)ϕ′(x)|L0 +

∫ L0 T0 [ϕ

′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx.

From the BCs ϕ(0) = ϕ(L) = 0 we know that the first term in thenumerator is zero. Therefore

λ =T0∫ L

0 [ϕ′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx≥ 0.

Moreover, we note that λ = 0 is not possible since ϕ′ 6≡ 0 (otherwise ϕwould have to be constant, and due to the BCs equal to zero).

Therefore, λ > 0 and we know that the time-equation (19) hasoscillating solutions

Tn(t) = c1 cos√λnt + c2 sin

√λnt , n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 97

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Vibrations of a Nonuniform String

We use the Rayleigh quotient to study the eigenvalues:

λ =− T0ϕ(x)ϕ′(x)|L0 +

∫ L0 T0 [ϕ

′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx.

From the BCs ϕ(0) = ϕ(L) = 0 we know that the first term in thenumerator is zero. Therefore

λ =T0∫ L

0 [ϕ′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx

≥ 0.

Moreover, we note that λ = 0 is not possible since ϕ′ 6≡ 0 (otherwise ϕwould have to be constant, and due to the BCs equal to zero).

Therefore, λ > 0 and we know that the time-equation (19) hasoscillating solutions

Tn(t) = c1 cos√λnt + c2 sin

√λnt , n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 97

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Vibrations of a Nonuniform String

We use the Rayleigh quotient to study the eigenvalues:

λ =− T0ϕ(x)ϕ′(x)|L0 +

∫ L0 T0 [ϕ

′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx.

From the BCs ϕ(0) = ϕ(L) = 0 we know that the first term in thenumerator is zero. Therefore

λ =T0∫ L

0 [ϕ′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx≥ 0.

Moreover, we note that λ = 0 is not possible since ϕ′ 6≡ 0 (otherwise ϕwould have to be constant, and due to the BCs equal to zero).

Therefore, λ > 0 and we know that the time-equation (19) hasoscillating solutions

Tn(t) = c1 cos√λnt + c2 sin

√λnt , n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 97

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Vibrations of a Nonuniform String

We use the Rayleigh quotient to study the eigenvalues:

λ =− T0ϕ(x)ϕ′(x)|L0 +

∫ L0 T0 [ϕ

′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx.

From the BCs ϕ(0) = ϕ(L) = 0 we know that the first term in thenumerator is zero. Therefore

λ =T0∫ L

0 [ϕ′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx≥ 0.

Moreover, we note that λ = 0 is not possible since ϕ′ 6≡ 0 (otherwise ϕwould have to be constant, and due to the BCs equal to zero).

Therefore, λ > 0 and we know that the time-equation (19) hasoscillating solutions

Tn(t) = c1 cos√λnt + c2 sin

√λnt , n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 97

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Vibrations of a Nonuniform String

We use the Rayleigh quotient to study the eigenvalues:

λ =− T0ϕ(x)ϕ′(x)|L0 +

∫ L0 T0 [ϕ

′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx.

From the BCs ϕ(0) = ϕ(L) = 0 we know that the first term in thenumerator is zero. Therefore

λ =T0∫ L

0 [ϕ′(x)]2 dx∫ L0 ϕ

2(x)ρ(x)dx≥ 0.

Moreover, we note that λ = 0 is not possible since ϕ′ 6≡ 0 (otherwise ϕwould have to be constant, and due to the BCs equal to zero).

Therefore, λ > 0 and we know that the time-equation (19) hasoscillating solutions

Tn(t) = c1 cos√λnt + c2 sin

√λnt , n = 1,2,3, . . .

[email protected] MATH 461 – Chapter 5 97

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Vibrations of a Nonuniform String

By the superposition principle we get

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x).

In order to apply the ICs we need

∂u∂t

(x , t) =∞∑

n=1

[−an

√λn sin

√λnt + bn

√λn cos

√λnt]ϕn(x)

and now we can enforce

u(x ,0) =∞∑

n=1

anϕn(x)!= f (x)

∂u∂t

(x ,0) =∞∑

n=1

bn√λnϕn(x)

!= g(x)

[email protected] MATH 461 – Chapter 5 98

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Vibrations of a Nonuniform String

By the superposition principle we get

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x).

In order to apply the ICs we need

∂u∂t

(x , t) =∞∑

n=1

[−an

√λn sin

√λnt + bn

√λn cos

√λnt]ϕn(x)

and now we can enforce

u(x ,0) =∞∑

n=1

anϕn(x)!= f (x)

∂u∂t

(x ,0) =∞∑

n=1

bn√λnϕn(x)

!= g(x)

[email protected] MATH 461 – Chapter 5 98

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Vibrations of a Nonuniform String

By the superposition principle we get

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x).

In order to apply the ICs we need

∂u∂t

(x , t) =∞∑

n=1

[−an

√λn sin

√λnt + bn

√λn cos

√λnt]ϕn(x)

and now we can enforce

u(x ,0) =∞∑

n=1

anϕn(x)!= f (x)

∂u∂t

(x ,0) =∞∑

n=1

bn√λnϕn(x)

!= g(x)

[email protected] MATH 461 – Chapter 5 98

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Vibrations of a Nonuniform String

The generalized Fourier coefficients an and bn are obtained using theorthogonality of the eigenfunctions (with respect to the weight functionρ):

an =

∫ L0 f (x)ϕn(x)ρ(x)dx∫ L

0 ϕ2n(x)ρ(x)dx

bn =1√λn

∫ L0 g(x)ϕn(x)ρ(x)dx∫ L

0 ϕ2n(x)ρ(x)dx

However, since we don’t know the eigenfunctions ϕn we cannot makeany further use of this information.

[email protected] MATH 461 – Chapter 5 99

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Vibrations of a Nonuniform String

The generalized Fourier coefficients an and bn are obtained using theorthogonality of the eigenfunctions (with respect to the weight functionρ):

an =

∫ L0 f (x)ϕn(x)ρ(x)dx∫ L

0 ϕ2n(x)ρ(x)dx

bn =1√λn

∫ L0 g(x)ϕn(x)ρ(x)dx∫ L

0 ϕ2n(x)ρ(x)dx

However, since we don’t know the eigenfunctions ϕn we cannot makeany further use of this information.

[email protected] MATH 461 – Chapter 5 99

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Vibrations of a Nonuniform String

What else can we say?

From the superposition solution

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x)

and the fact that the eigenvalues are ordered it is clear that√λ1 is the

lowest frequency of vibration (i.e., the basic mode).

What can we say about λ1?The minimization principle tells us

λ1 = min RQ[u] = minT0∫ L

0 [u′(x)]2 dx∫ L0 u2(x)ρ(x)dx

. (21)

RemarkFor a specific problem with given density ρ(x) we could findapproximate numerical upper bounds for λ1 as we did earlier.

[email protected] MATH 461 – Chapter 5 100

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Vibrations of a Nonuniform String

What else can we say?From the superposition solution

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x)

and the fact that the eigenvalues are ordered it is clear that√λ1 is the

lowest frequency of vibration (i.e., the basic mode).

What can we say about λ1?The minimization principle tells us

λ1 = min RQ[u] = minT0∫ L

0 [u′(x)]2 dx∫ L0 u2(x)ρ(x)dx

. (21)

RemarkFor a specific problem with given density ρ(x) we could findapproximate numerical upper bounds for λ1 as we did earlier.

[email protected] MATH 461 – Chapter 5 100

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Vibrations of a Nonuniform String

What else can we say?From the superposition solution

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x)

and the fact that the eigenvalues are ordered it is clear that√λ1 is the

lowest frequency of vibration (i.e., the basic mode).

What can we say about λ1?

The minimization principle tells us

λ1 = min RQ[u] = minT0∫ L

0 [u′(x)]2 dx∫ L0 u2(x)ρ(x)dx

. (21)

RemarkFor a specific problem with given density ρ(x) we could findapproximate numerical upper bounds for λ1 as we did earlier.

[email protected] MATH 461 – Chapter 5 100

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Vibrations of a Nonuniform String

What else can we say?From the superposition solution

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x)

and the fact that the eigenvalues are ordered it is clear that√λ1 is the

lowest frequency of vibration (i.e., the basic mode).

What can we say about λ1?The minimization principle tells us

λ1 = min RQ[u]

= minT0∫ L

0 [u′(x)]2 dx∫ L0 u2(x)ρ(x)dx

. (21)

RemarkFor a specific problem with given density ρ(x) we could findapproximate numerical upper bounds for λ1 as we did earlier.

[email protected] MATH 461 – Chapter 5 100

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Vibrations of a Nonuniform String

What else can we say?From the superposition solution

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x)

and the fact that the eigenvalues are ordered it is clear that√λ1 is the

lowest frequency of vibration (i.e., the basic mode).

What can we say about λ1?The minimization principle tells us

λ1 = min RQ[u] = minT0∫ L

0 [u′(x)]2 dx∫ L0 u2(x)ρ(x)dx

. (21)

RemarkFor a specific problem with given density ρ(x) we could findapproximate numerical upper bounds for λ1 as we did earlier.

[email protected] MATH 461 – Chapter 5 100

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Vibrations of a Nonuniform String

What else can we say?From the superposition solution

u(x , t) =∞∑

n=1

[an cos

√λnt + bn sin

√λnt]ϕn(x)

and the fact that the eigenvalues are ordered it is clear that√λ1 is the

lowest frequency of vibration (i.e., the basic mode).

What can we say about λ1?The minimization principle tells us

λ1 = min RQ[u] = minT0∫ L

0 [u′(x)]2 dx∫ L0 u2(x)ρ(x)dx

. (21)

RemarkFor a specific problem with given density ρ(x) we could findapproximate numerical upper bounds for λ1 as we did earlier.

[email protected] MATH 461 – Chapter 5 100

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Vibrations of a Nonuniform String

Alternatively, we can obtain upper and lower bounds for λ1 if weassume that the density is bounded, i.e.,

0 ≤ ρmin ≤ ρ(x) ≤ ρmax.

Then we can bound the denominator of (21)

ρmin

∫ L

0u2(x)dx ≤

∫ L

0u2(x)ρ(x)dx ≤ ρmax

∫ L

0u2(x)dx

and so (21) gives us

T0

ρmax

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx≤ λ1 ≤

T0

ρmin

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx. (22)

RemarkThe advantage of this formulation is that we now have the Rayleighquotient for a uniform string problem.

[email protected] MATH 461 – Chapter 5 101

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Vibrations of a Nonuniform String

Alternatively, we can obtain upper and lower bounds for λ1 if weassume that the density is bounded, i.e.,

0 ≤ ρmin ≤ ρ(x) ≤ ρmax.

Then we can bound the denominator of (21)

ρmin

∫ L

0u2(x)dx ≤

∫ L

0u2(x)ρ(x)dx ≤ ρmax

∫ L

0u2(x)dx

and so (21) gives us

T0

ρmax

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx≤ λ1 ≤

T0

ρmin

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx. (22)

RemarkThe advantage of this formulation is that we now have the Rayleighquotient for a uniform string problem.

[email protected] MATH 461 – Chapter 5 101

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Vibrations of a Nonuniform String

Alternatively, we can obtain upper and lower bounds for λ1 if weassume that the density is bounded, i.e.,

0 ≤ ρmin ≤ ρ(x) ≤ ρmax.

Then we can bound the denominator of (21)

ρmin

∫ L

0u2(x)dx ≤

∫ L

0u2(x)ρ(x)dx ≤ ρmax

∫ L

0u2(x)dx

and so (21) gives us

T0

ρmax

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx≤ λ1 ≤

T0

ρmin

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx. (22)

RemarkThe advantage of this formulation is that we now have the Rayleighquotient for a uniform string problem.

[email protected] MATH 461 – Chapter 5 101

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Vibrations of a Nonuniform String

Alternatively, we can obtain upper and lower bounds for λ1 if weassume that the density is bounded, i.e.,

0 ≤ ρmin ≤ ρ(x) ≤ ρmax.

Then we can bound the denominator of (21)

ρmin

∫ L

0u2(x)dx ≤

∫ L

0u2(x)ρ(x)dx ≤ ρmax

∫ L

0u2(x)dx

and so (21) gives us

T0

ρmax

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx≤ λ1 ≤

T0

ρmin

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx. (22)

RemarkThe advantage of this formulation is that we now have the Rayleighquotient for a uniform string problem.

[email protected] MATH 461 – Chapter 5 101

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Vibrations of a Nonuniform String

The Rayleigh quotient characterization of the smallest eigenvalue λ̃1 ofthe uniform string problem is

λ̃1 = min

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx,

while the corresponding SL problem is

ϕ̃′′(x) + λ̃ϕ̃(x) = 0ϕ̃(0) = ϕ̃(L) = 0

for which we know thatλ̃1 =

(πL

)2.

[email protected] MATH 461 – Chapter 5 102

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Vibrations of a Nonuniform String

The Rayleigh quotient characterization of the smallest eigenvalue λ̃1 ofthe uniform string problem is

λ̃1 = min

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx,

while the corresponding SL problem is

ϕ̃′′(x) + λ̃ϕ̃(x) = 0ϕ̃(0) = ϕ̃(L) = 0

for which we know thatλ̃1 =

(πL

)2.

[email protected] MATH 461 – Chapter 5 102

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Vibrations of a Nonuniform String

The Rayleigh quotient characterization of the smallest eigenvalue λ̃1 ofthe uniform string problem is

λ̃1 = min

∫ L0 [u′(x)]2 dx∫ L

0 u2(x)dx,

while the corresponding SL problem is

ϕ̃′′(x) + λ̃ϕ̃(x) = 0ϕ̃(0) = ϕ̃(L) = 0

for which we know thatλ̃1 =

(πL

)2.

[email protected] MATH 461 – Chapter 5 102

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Vibrations of a Nonuniform String

Therefore, going back to (22), we have

T0

ρmax

π2

L2 ≤ λ1 ≤T0

ρmin

π2

L2

or √T0

ρmax

π

L≤√λ1 ≤

√T0

ρmin

π

L,

where the bounds for the frequency√λ1 are the lowest frequency for a

uniform string with constant density ρmax or ρmin, respectively.

[email protected] MATH 461 – Chapter 5 103

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Vibrations of a Nonuniform String

Therefore, going back to (22), we have

T0

ρmax

π2

L2 ≤ λ1 ≤T0

ρmin

π2

L2

or √T0

ρmax

π

L≤√λ1 ≤

√T0

ρmin

π

L,

where the bounds for the frequency√λ1 are the lowest frequency for a

uniform string with constant density ρmax or ρmin, respectively.

[email protected] MATH 461 – Chapter 5 103

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Vibrations of a Nonuniform String

Therefore, going back to (22), we have

T0

ρmax

π2

L2 ≤ λ1 ≤T0

ρmin

π2

L2

or √T0

ρmax

π

L≤√λ1 ≤

√T0

ρmin

π

L,

where the bounds for the frequency√λ1 are the lowest frequency for a

uniform string with constant density ρmax or ρmin, respectively.

[email protected] MATH 461 – Chapter 5 103

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Boundary Conditions of the Third Kind

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 104

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Boundary Conditions of the Third Kind

Since we now will mostly be interested in studying the spatialSturm–Liouville problem associated with third kind (or Robin)boundary conditions, we can think of starting with a PDE that could beeither a heat equation or a wave equation, i.e.,

∂u∂t

(x , t) = k∂2u∂x2 (x , t) or

∂2u∂t2 (x , t) = c2∂

2u∂x2 (x , t).

The initial conditions will be

u(x ,0) = f (x) oru(x ,0) = f (x)∂u∂t (x ,0) = g(x)

and as boundary conditions we take

u(0, t) = 0∂u∂x

(L, t) = −hu(L, t).

[email protected] MATH 461 – Chapter 5 105

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Boundary Conditions of the Third Kind

Since we now will mostly be interested in studying the spatialSturm–Liouville problem associated with third kind (or Robin)boundary conditions, we can think of starting with a PDE that could beeither a heat equation or a wave equation, i.e.,

∂u∂t

(x , t) = k∂2u∂x2 (x , t) or

∂2u∂t2 (x , t) = c2∂

2u∂x2 (x , t).

The initial conditions will be

u(x ,0) = f (x) oru(x ,0) = f (x)∂u∂t (x ,0) = g(x)

and as boundary conditions we take

u(0, t) = 0∂u∂x

(L, t) = −hu(L, t).

[email protected] MATH 461 – Chapter 5 105

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Boundary Conditions of the Third Kind

Since we now will mostly be interested in studying the spatialSturm–Liouville problem associated with third kind (or Robin)boundary conditions, we can think of starting with a PDE that could beeither a heat equation or a wave equation, i.e.,

∂u∂t

(x , t) = k∂2u∂x2 (x , t) or

∂2u∂t2 (x , t) = c2∂

2u∂x2 (x , t).

The initial conditions will be

u(x ,0) = f (x) oru(x ,0) = f (x)∂u∂t (x ,0) = g(x)

and as boundary conditions we take

u(0, t) = 0∂u∂x

(L, t) = −hu(L, t).

[email protected] MATH 461 – Chapter 5 105

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Boundary Conditions of the Third Kind

The right end BC∂u∂x

(L, t) = −hu(L, t)

corresponds toNewton’s law of cooling with h = H/K0 (with heat transfercoefficient H and thermal conductivity K0) for the heat equation, oran elastic BC (such as a spring-mass system) with restoring forceh = k/T0 (where k is the spring constant and T0 the tension) forthe wave equation.

RemarkNote that

h > 0 suggests that heat leaves the rod or motion is stabilized atx = L,h < 0 implies that heat enters the rod or the motion is destabilizedat x = L, andh = 0 corresponds to perfect insulation or free motion at x = L.

[email protected] MATH 461 – Chapter 5 106

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Boundary Conditions of the Third Kind

The right end BC∂u∂x

(L, t) = −hu(L, t)

corresponds toNewton’s law of cooling with h = H/K0 (with heat transfercoefficient H and thermal conductivity K0) for the heat equation, oran elastic BC (such as a spring-mass system) with restoring forceh = k/T0 (where k is the spring constant and T0 the tension) forthe wave equation.

RemarkNote that

h > 0 suggests that heat leaves the rod or motion is stabilized atx = L,h < 0 implies that heat enters the rod or the motion is destabilizedat x = L, andh = 0 corresponds to perfect insulation or free motion at x = L.

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Boundary Conditions of the Third Kind

Separation of variables with u(x , t) = ϕ(x)T (t) results in the time ODEfor the heat equation

T ′(t) = −λkT (t) =⇒ T (t) = c0e−λkt

for the wave equation

T ′′(t) = −λc2T (t) =⇒ T (t) = c1 cos√λct + c2 sin

√λct

and the regular Sturm–Liouville problem

ϕ′′(x) + λϕ(x) = 0ϕ(0) = 0 and ϕ′(L) + hϕ(L) = 0.

We now need to carefully study solutions of the SL problem in all threepossible cases λ > 0, λ = 0 and λ < 0 – especially since we have toconsider the role of the additional parameter h.

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Boundary Conditions of the Third Kind

Separation of variables with u(x , t) = ϕ(x)T (t) results in the time ODEfor the heat equation

T ′(t) = −λkT (t) =⇒ T (t) = c0e−λkt

for the wave equation

T ′′(t) = −λc2T (t) =⇒ T (t) = c1 cos√λct + c2 sin

√λct

and the regular Sturm–Liouville problem

ϕ′′(x) + λϕ(x) = 0ϕ(0) = 0 and ϕ′(L) + hϕ(L) = 0.

We now need to carefully study solutions of the SL problem in all threepossible cases λ > 0, λ = 0 and λ < 0 – especially since we have toconsider the role of the additional parameter h.

[email protected] MATH 461 – Chapter 5 107

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Boundary Conditions of the Third Kind

Separation of variables with u(x , t) = ϕ(x)T (t) results in the time ODEfor the heat equation

T ′(t) = −λkT (t) =⇒ T (t) = c0e−λkt

for the wave equation

T ′′(t) = −λc2T (t) =⇒ T (t) = c1 cos√λct + c2 sin

√λct

and the regular Sturm–Liouville problem

ϕ′′(x) + λϕ(x) = 0ϕ(0) = 0 and ϕ′(L) + hϕ(L) = 0.

We now need to carefully study solutions of the SL problem in all threepossible cases λ > 0, λ = 0 and λ < 0 – especially since we have toconsider the role of the additional parameter h.

[email protected] MATH 461 – Chapter 5 107

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Boundary Conditions of the Third Kind

Case I: λ > 0

In this case we get a general solution of the form

ϕ(x) = c1 cos√λx + c2 sin

√λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cos 0 + c2 sin 0 != 0

=⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sin√λx .

For the second BC we require the derivative ϕ′(x) = c2√λ cos

√λx

and then

ϕ′(L) + hϕ(L) = c2√λ cos

√λL + hc2 sin

√λL !

= 0.

Assuming c2 6= 0 ( trivial solution) and h 6= 0 ( different BC) we get

sin√λL

cos√λL

= −√λ

h⇐⇒ tan

√λL = −

√λ

h.

[email protected] MATH 461 – Chapter 5 108

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Boundary Conditions of the Third Kind

Case I: λ > 0

In this case we get a general solution of the form

ϕ(x) = c1 cos√λx + c2 sin

√λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cos 0 + c2 sin 0 != 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sin√λx .

For the second BC we require the derivative ϕ′(x) = c2√λ cos

√λx

and then

ϕ′(L) + hϕ(L) = c2√λ cos

√λL + hc2 sin

√λL !

= 0.

Assuming c2 6= 0 ( trivial solution) and h 6= 0 ( different BC) we get

sin√λL

cos√λL

= −√λ

h⇐⇒ tan

√λL = −

√λ

h.

[email protected] MATH 461 – Chapter 5 108

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Boundary Conditions of the Third Kind

Case I: λ > 0

In this case we get a general solution of the form

ϕ(x) = c1 cos√λx + c2 sin

√λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cos 0 + c2 sin 0 != 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sin√λx .

For the second BC we require the derivative ϕ′(x) = c2√λ cos

√λx

and then

ϕ′(L) + hϕ(L) = c2√λ cos

√λL + hc2 sin

√λL !

= 0.

Assuming c2 6= 0 ( trivial solution) and h 6= 0 ( different BC) we get

sin√λL

cos√λL

= −√λ

h⇐⇒ tan

√λL = −

√λ

h.

[email protected] MATH 461 – Chapter 5 108

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Boundary Conditions of the Third Kind

Case I: λ > 0

In this case we get a general solution of the form

ϕ(x) = c1 cos√λx + c2 sin

√λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cos 0 + c2 sin 0 != 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sin√λx .

For the second BC we require the derivative ϕ′(x) = c2√λ cos

√λx

and then

ϕ′(L) + hϕ(L) = c2√λ cos

√λL + hc2 sin

√λL !

= 0.

Assuming c2 6= 0 ( trivial solution) and h 6= 0 ( different BC) we get

sin√λL

cos√λL

= −√λ

h⇐⇒ tan

√λL = −

√λ

h.

[email protected] MATH 461 – Chapter 5 108

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Boundary Conditions of the Third Kind

Case I: λ > 0

In this case we get a general solution of the form

ϕ(x) = c1 cos√λx + c2 sin

√λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cos 0 + c2 sin 0 != 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sin√λx .

For the second BC we require the derivative ϕ′(x) = c2√λ cos

√λx

and then

ϕ′(L) + hϕ(L) = c2√λ cos

√λL + hc2 sin

√λL !

= 0.

Assuming c2 6= 0 ( trivial solution) and h 6= 0 ( different BC) we get

sin√λL

cos√λL

= −√λ

h⇐⇒ tan

√λL = −

√λ

h.

[email protected] MATH 461 – Chapter 5 108

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Boundary Conditions of the Third Kind

Case I: λ > 0

In this case we get a general solution of the form

ϕ(x) = c1 cos√λx + c2 sin

√λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cos 0 + c2 sin 0 != 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sin√λx .

For the second BC we require the derivative ϕ′(x) = c2√λ cos

√λx

and then

ϕ′(L) + hϕ(L) = c2√λ cos

√λL + hc2 sin

√λL !

= 0.

Assuming c2 6= 0 ( trivial solution) and h 6= 0 ( different BC) we get

sin√λL

cos√λL

= −√λ

h

⇐⇒ tan√λL = −

√λ

h.

[email protected] MATH 461 – Chapter 5 108

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Boundary Conditions of the Third Kind

Case I: λ > 0

In this case we get a general solution of the form

ϕ(x) = c1 cos√λx + c2 sin

√λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cos 0 + c2 sin 0 != 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sin√λx .

For the second BC we require the derivative ϕ′(x) = c2√λ cos

√λx

and then

ϕ′(L) + hϕ(L) = c2√λ cos

√λL + hc2 sin

√λL !

= 0.

Assuming c2 6= 0 ( trivial solution) and h 6= 0 ( different BC) we get

sin√λL

cos√λL

= −√λ

h⇐⇒ tan

√λL = −

√λ

h.

[email protected] MATH 461 – Chapter 5 108

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Boundary Conditions of the Third Kind

The equation

tan√λL = −

√λ

hcharacterizing the eigenvalues cannot be solved analytically.

We can attempt to geta qualitative graphical solution for arbitrary h and L, ora quantitative numerical solution, however only for specific valuesof h and L.

Both approaches can be illustrated with the MATLAB scriptRobinBCs.m.

[email protected] MATH 461 – Chapter 5 109

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Boundary Conditions of the Third Kind

The equation

tan√λL = −

√λ

hcharacterizing the eigenvalues cannot be solved analytically.

We can attempt to geta qualitative graphical solution for arbitrary h and L, ora quantitative numerical solution, however only for specific valuesof h and L.

Both approaches can be illustrated with the MATLAB scriptRobinBCs.m.

[email protected] MATH 461 – Chapter 5 109

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Boundary Conditions of the Third Kind

The equation

tan√λL = −

√λ

hcharacterizing the eigenvalues cannot be solved analytically.

We can attempt to geta qualitative graphical solution for arbitrary h and L, ora quantitative numerical solution, however only for specific valuesof h and L.

Both approaches can be illustrated with the MATLAB scriptRobinBCs.m.

[email protected] MATH 461 – Chapter 5 109

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Boundary Conditions of the Third Kind

Let’s assume h > 0 and scale everything so that units on the x-axisare units of

√λL.

Then we plot the intersection of y = tan√λL and y = −

√λ

h = −√λL

hL .

Figure: Plot of y = tan√λL and y = −

√λL

hL .

[email protected] MATH 461 – Chapter 5 110

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Boundary Conditions of the Third Kind

Let’s assume h > 0 and scale everything so that units on the x-axisare units of

√λL.

Then we plot the intersection of y = tan√λL and y = −

√λ

h = −√λL

hL .

Figure: Plot of y = tan√λL and y = −

√λL

hL .

[email protected] MATH 461 – Chapter 5 110

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Boundary Conditions of the Third Kind

From the plot we can see that the (scaled square root of the)eigenvalues satisfy

π2 <√λ1L < π

3π2 <

√λ2L < 2π...

(2n−1)π2 <

√λnL < nπ

In fact,√λnL approaches the left end (2n−1)π

2 as n→∞.Therefore, we actually have a third option for large values of n andh > 0:

λn ≈((2n − 1)π

2L

)2

.

This formula describes the asymptotic behavior of the eigenvalues.

[email protected] MATH 461 – Chapter 5 111

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Boundary Conditions of the Third Kind

From the plot we can see that the (scaled square root of the)eigenvalues satisfy

π2 <√λ1L < π

3π2 <

√λ2L < 2π...

(2n−1)π2 <

√λnL < nπ

In fact,√λnL approaches the left end (2n−1)π

2 as n→∞.

Therefore, we actually have a third option for large values of n andh > 0:

λn ≈((2n − 1)π

2L

)2

.

This formula describes the asymptotic behavior of the eigenvalues.

[email protected] MATH 461 – Chapter 5 111

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Boundary Conditions of the Third Kind

From the plot we can see that the (scaled square root of the)eigenvalues satisfy

π2 <√λ1L < π

3π2 <

√λ2L < 2π...

(2n−1)π2 <

√λnL < nπ

In fact,√λnL approaches the left end (2n−1)π

2 as n→∞.Therefore, we actually have a third option for large values of n andh > 0:

λn ≈((2n − 1)π

2L

)2

.

This formula describes the asymptotic behavior of the eigenvalues.

[email protected] MATH 461 – Chapter 5 111

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Boundary Conditions of the Third Kind

If h < 0 (and still λ > 0) the line has a positive slope and the graphicalsolution actually depends on the product of hL:

Figure: Plot of intersection of y = tan√λL and y = −

√λL

hL for h < 0 andh < − 1

L (left), h = − 1L (middle), h > − 1

L (right).

Note that in the case h > −1L we have an eigenvalue in

(0, π2

)which

we didn’t have before (there are, of course, still infinitely manyeigenvalues), and the eigenfunctions are still

ϕn(x) = sin√λnx .

[email protected] MATH 461 – Chapter 5 112

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Boundary Conditions of the Third Kind

If h < 0 (and still λ > 0) the line has a positive slope and the graphicalsolution actually depends on the product of hL:

Figure: Plot of intersection of y = tan√λL and y = −

√λL

hL for h < 0 andh < − 1

L (left), h = − 1L (middle), h > − 1

L (right).

Note that in the case h > −1L we have an eigenvalue in

(0, π2

)which

we didn’t have before (there are, of course, still infinitely manyeigenvalues), and the eigenfunctions are still

ϕn(x) = sin√λnx .

[email protected] MATH 461 – Chapter 5 112

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Boundary Conditions of the Third Kind

If h < 0 (and still λ > 0) the line has a positive slope and the graphicalsolution actually depends on the product of hL:

Figure: Plot of intersection of y = tan√λL and y = −

√λL

hL for h < 0 andh < − 1

L (left), h = − 1L (middle), h > − 1

L (right).

Note that in the case h > −1L we have an eigenvalue in

(0, π2

)which

we didn’t have before (there are, of course, still infinitely manyeigenvalues), and the eigenfunctions are still

ϕn(x) = sin√λnx .

[email protected] MATH 461 – Chapter 5 112

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Boundary Conditions of the Third Kind

Case II: λ = 0Now the general solution is of the form

ϕ(x) = c1 + c2x

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1!= 0.

Therefore we still need to consider ϕ(x) = c2x .The second BC, ϕ′(L) + hϕ(L) = 0 implies

ϕ′(L) + hϕ(L) = c2 + hc2L != 0.

Assuming c2 6= 0, this equation will be satisfied for h = −1L , and so

λ = 0 is an eigenvalue with associated eigenfunction ϕ(x) = xprovided h = −1

L .For other values of h, λ = 0 is not and eigenvalue.

[email protected] MATH 461 – Chapter 5 113

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Boundary Conditions of the Third Kind

Case II: λ = 0Now the general solution is of the form

ϕ(x) = c1 + c2x

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1!= 0.

Therefore we still need to consider ϕ(x) = c2x .

The second BC, ϕ′(L) + hϕ(L) = 0 implies

ϕ′(L) + hϕ(L) = c2 + hc2L != 0.

Assuming c2 6= 0, this equation will be satisfied for h = −1L , and so

λ = 0 is an eigenvalue with associated eigenfunction ϕ(x) = xprovided h = −1

L .For other values of h, λ = 0 is not and eigenvalue.

[email protected] MATH 461 – Chapter 5 113

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Boundary Conditions of the Third Kind

Case II: λ = 0Now the general solution is of the form

ϕ(x) = c1 + c2x

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1!= 0.

Therefore we still need to consider ϕ(x) = c2x .The second BC, ϕ′(L) + hϕ(L) = 0 implies

ϕ′(L) + hϕ(L) = c2 + hc2L != 0.

Assuming c2 6= 0, this equation will be satisfied for h = −1L , and so

λ = 0 is an eigenvalue with associated eigenfunction ϕ(x) = xprovided h = −1

L .For other values of h, λ = 0 is not and eigenvalue.

[email protected] MATH 461 – Chapter 5 113

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Boundary Conditions of the Third Kind

Case II: λ = 0Now the general solution is of the form

ϕ(x) = c1 + c2x

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1!= 0.

Therefore we still need to consider ϕ(x) = c2x .The second BC, ϕ′(L) + hϕ(L) = 0 implies

ϕ′(L) + hϕ(L) = c2 + hc2L != 0.

Assuming c2 6= 0, this equation will be satisfied for h = −1L , and so

λ = 0 is an eigenvalue with associated eigenfunction ϕ(x) = xprovided h = −1

L .

For other values of h, λ = 0 is not and eigenvalue.

[email protected] MATH 461 – Chapter 5 113

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Boundary Conditions of the Third Kind

Case II: λ = 0Now the general solution is of the form

ϕ(x) = c1 + c2x

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1!= 0.

Therefore we still need to consider ϕ(x) = c2x .The second BC, ϕ′(L) + hϕ(L) = 0 implies

ϕ′(L) + hϕ(L) = c2 + hc2L != 0.

Assuming c2 6= 0, this equation will be satisfied for h = −1L , and so

λ = 0 is an eigenvalue with associated eigenfunction ϕ(x) = xprovided h = −1

L .For other values of h, λ = 0 is not and eigenvalue.

[email protected] MATH 461 – Chapter 5 113

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Boundary Conditions of the Third Kind

Case III: λ < 0In this case we can write the general solution in the form

ϕ(x) = c1 cosh√−λx + c2 sinh

√−λx

and the BC ϕ(0) = 0 immediately gives us

Therefore we need to consider only ϕ(x) = c2 sinh√−λx .

For the second BC we use the derivative ϕ′(x) = c2√−λ cosh

√−λx

and then

ϕ′(L) + hϕ(L) = c2√−λ cosh

√−λL + hc2 sinh

√−λL !

= 0.

[email protected] MATH 461 – Chapter 5 114

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Boundary Conditions of the Third Kind

Case III: λ < 0In this case we can write the general solution in the form

ϕ(x) = c1 cosh√−λx + c2 sinh

√−λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cosh 0 + c2 sinh 0 != 0

Therefore we need to consider only ϕ(x) = c2 sinh√−λx .

For the second BC we use the derivative ϕ′(x) = c2√−λ cosh

√−λx

and then

ϕ′(L) + hϕ(L) = c2√−λ cosh

√−λL + hc2 sinh

√−λL !

= 0.

[email protected] MATH 461 – Chapter 5 114

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Boundary Conditions of the Third Kind

Case III: λ < 0In this case we can write the general solution in the form

ϕ(x) = c1 cosh√−λx + c2 sinh

√−λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cosh 0︸ ︷︷ ︸=1

+c2 sinh 0︸ ︷︷ ︸=0

!= 0

Therefore we need to consider only ϕ(x) = c2 sinh√−λx .

For the second BC we use the derivative ϕ′(x) = c2√−λ cosh

√−λx

and then

ϕ′(L) + hϕ(L) = c2√−λ cosh

√−λL + hc2 sinh

√−λL !

= 0.

[email protected] MATH 461 – Chapter 5 114

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Boundary Conditions of the Third Kind

Case III: λ < 0In this case we can write the general solution in the form

ϕ(x) = c1 cosh√−λx + c2 sinh

√−λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cosh 0︸ ︷︷ ︸=1

+c2 sinh 0︸ ︷︷ ︸=0

!= 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sinh√−λx .

For the second BC we use the derivative ϕ′(x) = c2√−λ cosh

√−λx

and then

ϕ′(L) + hϕ(L) = c2√−λ cosh

√−λL + hc2 sinh

√−λL !

= 0.

[email protected] MATH 461 – Chapter 5 114

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Boundary Conditions of the Third Kind

Case III: λ < 0In this case we can write the general solution in the form

ϕ(x) = c1 cosh√−λx + c2 sinh

√−λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cosh 0︸ ︷︷ ︸=1

+c2 sinh 0︸ ︷︷ ︸=0

!= 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sinh√−λx .

For the second BC we use the derivative ϕ′(x) = c2√−λ cosh

√−λx

and then

ϕ′(L) + hϕ(L) = c2√−λ cosh

√−λL + hc2 sinh

√−λL !

= 0.

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Boundary Conditions of the Third Kind

Case III: λ < 0In this case we can write the general solution in the form

ϕ(x) = c1 cosh√−λx + c2 sinh

√−λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cosh 0︸ ︷︷ ︸=1

+c2 sinh 0︸ ︷︷ ︸=0

!= 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sinh√−λx .

For the second BC we use the derivative ϕ′(x) = c2√−λ cosh

√−λx

and then

ϕ′(L) + hϕ(L) = c2√−λ cosh

√−λL + hc2 sinh

√−λL !

= 0.

[email protected] MATH 461 – Chapter 5 114

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Boundary Conditions of the Third Kind

Case III: λ < 0In this case we can write the general solution in the form

ϕ(x) = c1 cosh√−λx + c2 sinh

√−λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cosh 0︸ ︷︷ ︸=1

+c2 sinh 0︸ ︷︷ ︸=0

!= 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sinh√−λx .

For the second BC we use the derivative ϕ′(x) = c2√−λ cosh

√−λx

and then

ϕ′(L) + hϕ(L) = c2√−λ cosh

√−λL + hc2 sinh

√−λL !

= 0.

Assuming c2 6= 0 and h 6= 0 we get

sinh√−λL

cosh√−λL

= −√−λh

[email protected] MATH 461 – Chapter 5 114

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Boundary Conditions of the Third Kind

Case III: λ < 0In this case we can write the general solution in the form

ϕ(x) = c1 cosh√−λx + c2 sinh

√−λx

and the BC ϕ(0) = 0 immediately gives us

ϕ(0) = c1 cosh 0︸ ︷︷ ︸=1

+c2 sinh 0︸ ︷︷ ︸=0

!= 0 =⇒ c1 = 0.

Therefore we need to consider only ϕ(x) = c2 sinh√−λx .

For the second BC we use the derivative ϕ′(x) = c2√−λ cosh

√−λx

and then

ϕ′(L) + hϕ(L) = c2√−λ cosh

√−λL + hc2 sinh

√−λL !

= 0.

Assuming c2 6= 0 and h 6= 0 we get

sinh√−λL

cosh√−λL

= −√−λh

⇐⇒ tanh√−λL = −

√−λh

.

[email protected] MATH 461 – Chapter 5 114

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Boundary Conditions of the Third Kind

Here we scale everything so that units on the x-axis are units of√−λL.

Figure: Plot of y = tanh√−λL together with lines y = −

√−λLhL for different h.

Since the hyperbolic tangent does not oscillate we can pick up at mostone negative eigenvalue λ0 (when h < −1

L ). Its eigenfunction is

ϕ0(x) = sinh√−λ0x

[email protected] MATH 461 – Chapter 5 115

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Boundary Conditions of the Third Kind

Here we scale everything so that units on the x-axis are units of√−λL.

Figure: Plot of y = tanh√−λL together with lines y = −

√−λLhL for different h.

Since the hyperbolic tangent does not oscillate we can pick up at mostone negative eigenvalue λ0 (when h < −1

L ). Its eigenfunction is

ϕ0(x) = sinh√−λ0x

[email protected] MATH 461 – Chapter 5 115

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Boundary Conditions of the Third Kind

Here we scale everything so that units on the x-axis are units of√−λL.

Figure: Plot of y = tanh√−λL together with lines y = −

√−λLhL for different h.

Since the hyperbolic tangent does not oscillate we can pick up at mostone negative eigenvalue λ0 (when h < −1

L ). Its eigenfunction is

ϕ0(x) = sinh√−λ0x

[email protected] MATH 461 – Chapter 5 115

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Boundary Conditions of the Third Kind

The special case h = 0:

This case corresponds to perfect insulation (or free vibration) at theend x = L and can easily be solved directly.

The eigenvalues in this case are

λn =

((2n − 1)π

2L

)2

, n = 1,2,3, . . . ,

and the corresponding eigenfunctions are

ϕn(x) = sin√λnx , n = 1,2,3, . . . .

[email protected] MATH 461 – Chapter 5 116

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Boundary Conditions of the Third Kind

The special case h = 0:

This case corresponds to perfect insulation (or free vibration) at theend x = L and can easily be solved directly.

The eigenvalues in this case are

λn =

((2n − 1)π

2L

)2

, n = 1,2,3, . . . ,

and the corresponding eigenfunctions are

ϕn(x) = sin√λnx , n = 1,2,3, . . . .

[email protected] MATH 461 – Chapter 5 116

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Boundary Conditions of the Third Kind

Altogether, we can summarize the eigenvalues and eigenfunctions forthis example in the following table:

λ > 0 λ = 0 λ < 0h > −1

L sin√λx

h = −1L sin

√λx x

h < −1L sin

√λx sinh

√−λ0x

Here λ0 is the one extra negative eigenvalue which will arise forh < −1

L .

RemarkYou can compare this with Table 5.8.1 in [Haberman], where anadditional split into “physical” (h ≥ 0) and “nonphysical” (h < 0)situations was made.

[email protected] MATH 461 – Chapter 5 117

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Approximation Properties

Outline

1 Introduction

2 Examples

3 Sturm–Liouville Eigenvalue Problems

4 Heat Flow in a Nonuniform Rod without Sources

5 Self-Adjoint Operators and Sturm–Liouville Eigenvalue Problems

6 The Rayleigh Quotient

7 Vibrations of a Nonuniform String

8 Boundary Conditions of the Third Kind

9 Approximation [email protected] MATH 461 – Chapter 5 118

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Approximation Properties

In this section we want to study how to “best” represent an (infinite)generalized Fourier series by a finite linear combination of theeigenfunctions.

We let

sM(x) =M∑

n=1

αnϕn(x)

be an M-term approximation of the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

with eigenfunctions ϕn and generalized Fourier coefficients

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

.

How should we choose the unknown coefficients αn of sM?

[email protected] MATH 461 – Chapter 5 119

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Approximation Properties

In this section we want to study how to “best” represent an (infinite)generalized Fourier series by a finite linear combination of theeigenfunctions.We let

sM(x) =M∑

n=1

αnϕn(x)

be an M-term approximation of the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

with eigenfunctions ϕn and generalized Fourier coefficients

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

.

How should we choose the unknown coefficients αn of sM?

[email protected] MATH 461 – Chapter 5 119

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Approximation Properties

In this section we want to study how to “best” represent an (infinite)generalized Fourier series by a finite linear combination of theeigenfunctions.We let

sM(x) =M∑

n=1

αnϕn(x)

be an M-term approximation of the generalized Fourier series

f (x) ∼∞∑

n=1

anϕn(x)

with eigenfunctions ϕn and generalized Fourier coefficients

an =

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx

.

How should we choose the unknown coefficients αn of [email protected] MATH 461 – Chapter 5 119

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Approximation Properties

We decide to choose αn such that (for fixed M)

‖f − sM‖ = ‖f −M∑

n=1

αnϕn‖ is minimized.

Here the norm ‖ · ‖ is some measure of “goodness” to be definedbelow.

RemarkSince we will obtain that sM with minimal norm ‖f − sM‖ among allpossible M-term eigenfunction approximations sM we will have foundthe “best” one.

[email protected] MATH 461 – Chapter 5 120

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Approximation Properties

We decide to choose αn such that (for fixed M)

‖f − sM‖ = ‖f −M∑

n=1

αnϕn‖ is minimized.

Here the norm ‖ · ‖ is some measure of “goodness” to be definedbelow.

RemarkSince we will obtain that sM with minimal norm ‖f − sM‖ among allpossible M-term eigenfunction approximations sM we will have foundthe “best” one.

[email protected] MATH 461 – Chapter 5 120

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Approximation Properties

We decide to choose αn such that (for fixed M)

‖f − sM‖ = ‖f −M∑

n=1

αnϕn‖ is minimized.

Here the norm ‖ · ‖ is some measure of “goodness” to be definedbelow.

RemarkSince we will obtain that sM with minimal norm ‖f − sM‖ among allpossible M-term eigenfunction approximations sM we will have foundthe “best” one.

[email protected] MATH 461 – Chapter 5 120

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Approximation Properties

What kind of norm should we use?

Possible (standard) choices arethe one-norm

‖f − sM‖1 =

∫ b

a|f (x)− sM(x)|dx ,

the weighted two-norm (or weighted least squares norm)

‖f − sM‖2 =

(∫ b

a[f (x)− sM(x)]2 σ(x)dx

)1/2

,

the maximum norm (or infinity-norm)

‖f − sM‖∞ = maxx∈[a,b]

|f (x)− sM(x)|,

The one- and infinity-norms are not as practical as the two-norm.Therefore, we use the weighted least squares norm.

[email protected] MATH 461 – Chapter 5 121

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Approximation Properties

What kind of norm should we use?Possible (standard) choices are

the one-norm

‖f − sM‖1 =

∫ b

a|f (x)− sM(x)|dx ,

the weighted two-norm (or weighted least squares norm)

‖f − sM‖2 =

(∫ b

a[f (x)− sM(x)]2 σ(x)dx

)1/2

,

the maximum norm (or infinity-norm)

‖f − sM‖∞ = maxx∈[a,b]

|f (x)− sM(x)|,

The one- and infinity-norms are not as practical as the two-norm.Therefore, we use the weighted least squares norm.

[email protected] MATH 461 – Chapter 5 121

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Approximation Properties

What kind of norm should we use?Possible (standard) choices are

the one-norm

‖f − sM‖1 =

∫ b

a|f (x)− sM(x)|dx ,

the weighted two-norm (or weighted least squares norm)

‖f − sM‖2 =

(∫ b

a[f (x)− sM(x)]2 σ(x)dx

)1/2

,

the maximum norm (or infinity-norm)

‖f − sM‖∞ = maxx∈[a,b]

|f (x)− sM(x)|,

The one- and infinity-norms are not as practical as the two-norm.Therefore, we use the weighted least squares norm.

[email protected] MATH 461 – Chapter 5 121

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Approximation Properties

What kind of norm should we use?Possible (standard) choices are

the one-norm

‖f − sM‖1 =

∫ b

a|f (x)− sM(x)|dx ,

the weighted two-norm (or weighted least squares norm)

‖f − sM‖2 =

(∫ b

a[f (x)− sM(x)]2 σ(x)dx

)1/2

,

the maximum norm (or infinity-norm)

‖f − sM‖∞ = maxx∈[a,b]

|f (x)− sM(x)|,

The one- and infinity-norms are not as practical as the two-norm.Therefore, we use the weighted least squares norm.

[email protected] MATH 461 – Chapter 5 121

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Approximation Properties

What kind of norm should we use?Possible (standard) choices are

the one-norm

‖f − sM‖1 =

∫ b

a|f (x)− sM(x)|dx ,

the weighted two-norm (or weighted least squares norm)

‖f − sM‖2 =

(∫ b

a[f (x)− sM(x)]2 σ(x)dx

)1/2

,

the maximum norm (or infinity-norm)

‖f − sM‖∞ = maxx∈[a,b]

|f (x)− sM(x)|,

The one- and infinity-norms are not as practical as the two-norm.Therefore, we use the weighted least squares norm.

[email protected] MATH 461 – Chapter 5 121

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Approximation Properties

We will choose the coefficients αn to minimize the (square of the)weighted least squares norm, i.e., we want to solve

minαn

E = minαn

∫ b

a[f (x)− sM(x)]2 σ(x)dx

= minαn

∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]2

σ(x)dx .

This problem is a multivariate optimization problem and can be solvedwith standard methods from Calculus III.A necessary condition for obtaining a minimum is

∂E∂αi

= 0 i = 1,2, . . . ,M.

[email protected] MATH 461 – Chapter 5 122

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Approximation Properties

We will choose the coefficients αn to minimize the (square of the)weighted least squares norm, i.e., we want to solve

minαn

E = minαn

∫ b

a[f (x)− sM(x)]2 σ(x)dx

= minαn

∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]2

σ(x)dx .

This problem is a multivariate optimization problem and can be solvedwith standard methods from Calculus III.A necessary condition for obtaining a minimum is

∂E∂αi

= 0 i = 1,2, . . . ,M.

[email protected] MATH 461 – Chapter 5 122

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Approximation Properties

We will choose the coefficients αn to minimize the (square of the)weighted least squares norm, i.e., we want to solve

minαn

E = minαn

∫ b

a[f (x)− sM(x)]2 σ(x)dx

= minαn

∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]2

σ(x)dx .

This problem is a multivariate optimization problem and can be solvedwith standard methods from Calculus III.

A necessary condition for obtaining a minimum is

∂E∂αi

= 0 i = 1,2, . . . ,M.

[email protected] MATH 461 – Chapter 5 122

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Approximation Properties

We will choose the coefficients αn to minimize the (square of the)weighted least squares norm, i.e., we want to solve

minαn

E = minαn

∫ b

a[f (x)− sM(x)]2 σ(x)dx

= minαn

∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]2

σ(x)dx .

This problem is a multivariate optimization problem and can be solvedwith standard methods from Calculus III.A necessary condition for obtaining a minimum is

∂E∂αi

= 0 i = 1,2, . . . ,M.

[email protected] MATH 461 – Chapter 5 122

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Approximation Properties

The first thing we need are the partial derivatives

∂E∂αi

=∂

∂αi

∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]2

σ(x)dx

, i = 1,2, . . . ,M.

By the chain rule we have

∂E∂αi

= −2∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]ϕi(x)σ(x)dx , i = 1,2, . . . ,M.

(23)We now need to set these equal to zero and solve for αi .

[email protected] MATH 461 – Chapter 5 123

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Approximation Properties

The first thing we need are the partial derivatives

∂E∂αi

=∂

∂αi

∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]2

σ(x)dx

, i = 1,2, . . . ,M.

By the chain rule we have

∂E∂αi

= −2∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]ϕi(x)σ(x)dx , i = 1,2, . . . ,M.

(23)

We now need to set these equal to zero and solve for αi .

[email protected] MATH 461 – Chapter 5 123

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Approximation Properties

The first thing we need are the partial derivatives

∂E∂αi

=∂

∂αi

∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]2

σ(x)dx

, i = 1,2, . . . ,M.

By the chain rule we have

∂E∂αi

= −2∫ b

a

[f (x)−

M∑n=1

αnϕn(x)

]ϕi(x)σ(x)dx , i = 1,2, . . . ,M.

(23)We now need to set these equal to zero and solve for αi .

[email protected] MATH 461 – Chapter 5 123

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Approximation Properties

Setting ∂E∂αi

= 0 in (23) we get

∫ b

af (x)ϕi(x)σ(x)dx =

∫ b

a

M∑n=1

αnϕn(x)ϕi(x)σ(x)dx

i.e., truncating the generalized Fourier series might be the optimalchoice (this is only a necessary condition).

[email protected] MATH 461 – Chapter 5 124

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Approximation Properties

Setting ∂E∂αi

= 0 in (23) we get

∫ b

af (x)ϕi(x)σ(x)dx =

∫ b

a

M∑n=1

αnϕn(x)ϕi(x)σ(x)dx

=M∑

n=1

αn

∫ b

aϕn(x)ϕi(x)σ(x)dx

i.e., truncating the generalized Fourier series might be the optimalchoice (this is only a necessary condition).

[email protected] MATH 461 – Chapter 5 124

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Approximation Properties

Setting ∂E∂αi

= 0 in (23) we get

∫ b

af (x)ϕi(x)σ(x)dx =

∫ b

a

M∑n=1

αnϕn(x)ϕi(x)σ(x)dx

=M∑

n=1

αn

∫ b

aϕn(x)ϕi(x)σ(x)dx︸ ︷︷ ︸

=0 if n 6=i

i.e., truncating the generalized Fourier series might be the optimalchoice (this is only a necessary condition).

[email protected] MATH 461 – Chapter 5 124

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Approximation Properties

Setting ∂E∂αi

= 0 in (23) we get

∫ b

af (x)ϕi(x)σ(x)dx =

∫ b

a

M∑n=1

αnϕn(x)ϕi(x)σ(x)dx

=M∑

n=1

αn

∫ b

aϕn(x)ϕi(x)σ(x)dx︸ ︷︷ ︸

=0 if n 6=i

= αi

∫ b

aϕ2

i (x)σ(x)dx

i.e., truncating the generalized Fourier series might be the optimalchoice (this is only a necessary condition).

[email protected] MATH 461 – Chapter 5 124

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Approximation Properties

Setting ∂E∂αi

= 0 in (23) we get

∫ b

af (x)ϕi(x)σ(x)dx =

∫ b

a

M∑n=1

αnϕn(x)ϕi(x)σ(x)dx

=M∑

n=1

αn

∫ b

aϕn(x)ϕi(x)σ(x)dx︸ ︷︷ ︸

=0 if n 6=i

= αi

∫ b

aϕ2

i (x)σ(x)dx

and so

αi =

∫ ba f (x)ϕi(x)σ(x)dx∫ b

a ϕ2i (x)σ(x)dx

i.e., truncating the generalized Fourier series might be the optimalchoice (this is only a necessary condition).

[email protected] MATH 461 – Chapter 5 124

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Approximation Properties

Setting ∂E∂αi

= 0 in (23) we get

∫ b

af (x)ϕi(x)σ(x)dx =

∫ b

a

M∑n=1

αnϕn(x)ϕi(x)σ(x)dx

=M∑

n=1

αn

∫ b

aϕn(x)ϕi(x)σ(x)dx︸ ︷︷ ︸

=0 if n 6=i

= αi

∫ b

aϕ2

i (x)σ(x)dx

and so

αi =

∫ ba f (x)ϕi(x)σ(x)dx∫ b

a ϕ2i (x)σ(x)dx

= ai ,

i.e., truncating the generalized Fourier series might be the optimalchoice (this is only a necessary condition).

[email protected] MATH 461 – Chapter 5 124

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Approximation Properties

Setting ∂E∂αi

= 0 in (23) we get

∫ b

af (x)ϕi(x)σ(x)dx =

∫ b

a

M∑n=1

αnϕn(x)ϕi(x)σ(x)dx

=M∑

n=1

αn

∫ b

aϕn(x)ϕi(x)σ(x)dx︸ ︷︷ ︸

=0 if n 6=i

= αi

∫ b

aϕ2

i (x)σ(x)dx

and so

αi =

∫ ba f (x)ϕi(x)σ(x)dx∫ b

a ϕ2i (x)σ(x)dx

= ai ,

i.e., truncating the generalized Fourier series might be the optimalchoice (this is only a necessary condition).

[email protected] MATH 461 – Chapter 5 124

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Approximation Properties

We now show that αn = an indeed does minimize E .

Consider

E =

∫ b

a[f (x)− sM(x)]2 σ(x)dx =

∫ b

a

[f 2(x)− 2f (x)sM(x) + s2

M(x)]σ(x)dx

=

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)

]σ(x)dx

Interchanging integration and (finite) summation (no problem at all!) andusing orthogonality of the eigenfunctions we know that∫ b

a

M∑n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)σ(x)dx =M∑

n=1

M∑`=1

αnα`

∫ b

aϕn(x)ϕ`(x)σ(x)dx

=M∑

n=1

α2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx .

[email protected] MATH 461 – Chapter 5 125

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Approximation Properties

We now show that αn = an indeed does minimize E . Consider

E =

∫ b

a[f (x)− sM(x)]2 σ(x)dx

=

∫ b

a

[f 2(x)− 2f (x)sM(x) + s2

M(x)]σ(x)dx

=

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)

]σ(x)dx

Interchanging integration and (finite) summation (no problem at all!) andusing orthogonality of the eigenfunctions we know that∫ b

a

M∑n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)σ(x)dx =M∑

n=1

M∑`=1

αnα`

∫ b

aϕn(x)ϕ`(x)σ(x)dx

=M∑

n=1

α2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx .

[email protected] MATH 461 – Chapter 5 125

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Approximation Properties

We now show that αn = an indeed does minimize E . Consider

E =

∫ b

a[f (x)− sM(x)]2 σ(x)dx =

∫ b

a

[f 2(x)− 2f (x)sM(x) + s2

M(x)]σ(x)dx

=

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)

]σ(x)dx

Interchanging integration and (finite) summation (no problem at all!) andusing orthogonality of the eigenfunctions we know that∫ b

a

M∑n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)σ(x)dx =M∑

n=1

M∑`=1

αnα`

∫ b

aϕn(x)ϕ`(x)σ(x)dx

=M∑

n=1

α2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx .

[email protected] MATH 461 – Chapter 5 125

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Approximation Properties

We now show that αn = an indeed does minimize E . Consider

E =

∫ b

a[f (x)− sM(x)]2 σ(x)dx =

∫ b

a

[f 2(x)− 2f (x)sM(x) + s2

M(x)]σ(x)dx

=

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)

]σ(x)dx

Interchanging integration and (finite) summation (no problem at all!) andusing orthogonality of the eigenfunctions we know that∫ b

a

M∑n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)σ(x)dx =M∑

n=1

M∑`=1

αnα`

∫ b

aϕn(x)ϕ`(x)σ(x)dx

=M∑

n=1

α2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx .

[email protected] MATH 461 – Chapter 5 125

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Approximation Properties

We now show that αn = an indeed does minimize E . Consider

E =

∫ b

a[f (x)− sM(x)]2 σ(x)dx =

∫ b

a

[f 2(x)− 2f (x)sM(x) + s2

M(x)]σ(x)dx

=

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)

]σ(x)dx

Interchanging integration and (finite) summation (no problem at all!) andusing orthogonality of the eigenfunctions we know that∫ b

a

M∑n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)σ(x)dx =M∑

n=1

M∑`=1

αnα`

∫ b

aϕn(x)ϕ`(x)σ(x)dx

=M∑

n=1

α2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx .

[email protected] MATH 461 – Chapter 5 125

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Approximation Properties

We now show that αn = an indeed does minimize E . Consider

E =

∫ b

a[f (x)− sM(x)]2 σ(x)dx =

∫ b

a

[f 2(x)− 2f (x)sM(x) + s2

M(x)]σ(x)dx

=

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)

]σ(x)dx

Interchanging integration and (finite) summation (no problem at all!) andusing orthogonality of the eigenfunctions we know that∫ b

a

M∑n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)σ(x)dx =M∑

n=1

M∑`=1

αnα`

∫ b

aϕn(x)ϕ`(x)σ(x)dx

=M∑

n=1

α2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx .

[email protected] MATH 461 – Chapter 5 125

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Approximation Properties

We now show that αn = an indeed does minimize E . Consider

E =

∫ b

a[f (x)− sM(x)]2 σ(x)dx =

∫ b

a

[f 2(x)− 2f (x)sM(x) + s2

M(x)]σ(x)dx

=

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)

]σ(x)dx

Interchanging integration and (finite) summation (no problem at all!) andusing orthogonality of the eigenfunctions we know that∫ b

a

M∑n=1

M∑`=1

αnα`ϕn(x)ϕ`(x)σ(x)dx =M∑

n=1

M∑`=1

αnα`

∫ b

aϕn(x)ϕ`(x)σ(x)dx

=M∑

n=1

α2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx .

[email protected] MATH 461 – Chapter 5 125

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Approximation Properties

We can rearrange

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx

as

E =M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ b

af (x)ϕn(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

and then further modify

E =M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ b

af (x)ϕn(x)σ(x)dx

∫ ba ϕ

2n(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx︸ ︷︷ ︸

=1

]+

∫ b

af 2(x)σ(x)dx

=M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx︸ ︷︷ ︸

=an

∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

=M∑

n=1

[(α2

n − 2αnan

)∫ b

aϕ2

n(x)σ(x)dx]+

∫ b

af 2(x)σ(x)dx

[email protected] MATH 461 – Chapter 5 126

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Approximation Properties

We can rearrange

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx

as

E =M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ b

af (x)ϕn(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

and then further modify

E =M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ b

af (x)ϕn(x)σ(x)dx

∫ ba ϕ

2n(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx︸ ︷︷ ︸

=1

]+

∫ b

af 2(x)σ(x)dx

=M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx︸ ︷︷ ︸

=an

∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

=M∑

n=1

[(α2

n − 2αnan

)∫ b

aϕ2

n(x)σ(x)dx]+

∫ b

af 2(x)σ(x)dx

[email protected] MATH 461 – Chapter 5 126

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Approximation Properties

We can rearrange

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx

as

E =M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ b

af (x)ϕn(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

and then further modify

E =M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ b

af (x)ϕn(x)σ(x)dx

∫ ba ϕ

2n(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx︸ ︷︷ ︸

=1

]+

∫ b

af 2(x)σ(x)dx

=M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx︸ ︷︷ ︸

=an

∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

=M∑

n=1

[(α2

n − 2αnan

)∫ b

aϕ2

n(x)σ(x)dx]+

∫ b

af 2(x)σ(x)dx

[email protected] MATH 461 – Chapter 5 126

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Approximation Properties

We can rearrange

E =

∫ b

a

[f 2(x)− 2f (x)

M∑n=1

αnϕn(x) +M∑

n=1

α2nϕ

2n(x)

]σ(x)dx

as

E =M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ b

af (x)ϕn(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

and then further modify

E =M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ b

af (x)ϕn(x)σ(x)dx

∫ ba ϕ

2n(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx︸ ︷︷ ︸

=1

]+

∫ b

af 2(x)σ(x)dx

=M∑

n=1

[α2

n

∫ b

aϕ2

n(x)σ(x)dx − 2αn

∫ ba f (x)ϕn(x)σ(x)dx∫ b

a ϕ2n(x)σ(x)dx︸ ︷︷ ︸

=an

∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

=M∑

n=1

[(α2

n − 2αnan

)∫ b

aϕ2

n(x)σ(x)dx]+

∫ b

af 2(x)σ(x)dx

[email protected] MATH 461 – Chapter 5 126

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Approximation Properties

Now we take

E =M∑

n=1

[(α2

n − 2αnan

)∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

and complete the square to get

E =M∑

n=1

[((αn − an)

2 − a2n

)∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

The only terms we can manipulate to reduce the value of E are thenonnegative integrals

(αn − an)2∫ b

aϕ2

n(x)σ(x)dx .

The best we can do, i.e., the smallest we can make E , is to removethese terms from the summation. This happens if αn = an.Therefore, truncation of the generalized Fourier series is indeedoptimal.

[email protected] MATH 461 – Chapter 5 127

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Approximation Properties

Now we take

E =M∑

n=1

[(α2

n − 2αnan

)∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

and complete the square to get

E =M∑

n=1

[((αn − an)

2 − a2n

)∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

The only terms we can manipulate to reduce the value of E are thenonnegative integrals

(αn − an)2∫ b

aϕ2

n(x)σ(x)dx .

The best we can do, i.e., the smallest we can make E , is to removethese terms from the summation. This happens if αn = an.Therefore, truncation of the generalized Fourier series is indeedoptimal.

[email protected] MATH 461 – Chapter 5 127

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Approximation Properties

Now we take

E =M∑

n=1

[(α2

n − 2αnan

)∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

and complete the square to get

E =M∑

n=1

[((αn − an)

2 − a2n

)∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

The only terms we can manipulate to reduce the value of E are thenonnegative integrals

(αn − an)2∫ b

aϕ2

n(x)σ(x)dx .

The best we can do, i.e., the smallest we can make E , is to removethese terms from the summation. This happens if αn = an.

Therefore, truncation of the generalized Fourier series is indeedoptimal.

[email protected] MATH 461 – Chapter 5 127

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Approximation Properties

Now we take

E =M∑

n=1

[(α2

n − 2αnan

)∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

and complete the square to get

E =M∑

n=1

[((αn − an)

2 − a2n

)∫ b

aϕ2

n(x)σ(x)dx

]+

∫ b

af 2(x)σ(x)dx

The only terms we can manipulate to reduce the value of E are thenonnegative integrals

(αn − an)2∫ b

aϕ2

n(x)σ(x)dx .

The best we can do, i.e., the smallest we can make E , is to removethese terms from the summation. This happens if αn = an.Therefore, truncation of the generalized Fourier series is indeedoptimal.

[email protected] MATH 461 – Chapter 5 127

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Approximation Properties

RemarkNote that the choice of the optimal coefficients αn = an wasindependent of the particular value of M.

This means that if sM for a particular value M turns out not to be goodenough, then we can obtain the more accurate sM+1 by computingonly one additional coefficient αM+1 = aM+1.

This is not at all obvious. In many cases, allowing for one more term inthe expansion may require recomputation of all coefficients.

[email protected] MATH 461 – Chapter 5 128

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Approximation Properties

RemarkNote that the choice of the optimal coefficients αn = an wasindependent of the particular value of M.

This means that if sM for a particular value M turns out not to be goodenough, then we can obtain the more accurate sM+1 by computingonly one additional coefficient αM+1 = aM+1.

This is not at all obvious. In many cases, allowing for one more term inthe expansion may require recomputation of all coefficients.

[email protected] MATH 461 – Chapter 5 128

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Approximation Properties

RemarkNote that the choice of the optimal coefficients αn = an wasindependent of the particular value of M.

This means that if sM for a particular value M turns out not to be goodenough, then we can obtain the more accurate sM+1 by computingonly one additional coefficient αM+1 = aM+1.

This is not at all obvious. In many cases, allowing for one more term inthe expansion may require recomputation of all coefficients.

[email protected] MATH 461 – Chapter 5 128

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Approximation Properties

If we let αn = an above, then we see that the actual minimum error is

E =

∫ b

af 2(x)σ(x)dx −

M∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx (24)

Example

Assume that the eigenfunctions are orthonormal with weight σ(x) = 1,i.e., ∫ b

aϕn(x)ϕm(x)dx =

{0 if m 6= n,1 if m = n.

Then the least squares error when approximating f by its truncatedgeneralized Fourier series

∑Mn=1 anϕn on [a,b] is

E =

∫ b

af 2(x)dx −

M∑n=1

a2n.

Note that the error involves only the Fourier coefficients, but not theeigenfunctions.

[email protected] MATH 461 – Chapter 5 129

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Approximation Properties

If we let αn = an above, then we see that the actual minimum error is

E =

∫ b

af 2(x)σ(x)dx −

M∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx (24)

Example

Assume that the eigenfunctions are orthonormal with weight σ(x) = 1,i.e., ∫ b

aϕn(x)ϕm(x)dx =

{0 if m 6= n,1 if m = n.

Then the least squares error when approximating f by its truncatedgeneralized Fourier series

∑Mn=1 anϕn on [a,b] is

E =

∫ b

af 2(x)dx −

M∑n=1

a2n.

Note that the error involves only the Fourier coefficients, but not theeigenfunctions.

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Approximation Properties

If we let αn = an above, then we see that the actual minimum error is

E =

∫ b

af 2(x)σ(x)dx −

M∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx (24)

Example

Assume that the eigenfunctions are orthonormal with weight σ(x) = 1,i.e., ∫ b

aϕn(x)ϕm(x)dx =

{0 if m 6= n,1 if m = n.

Then the least squares error when approximating f by its truncatedgeneralized Fourier series

∑Mn=1 anϕn on [a,b] is

E =

∫ b

af 2(x)dx −

M∑n=1

a2n.

Note that the error involves only the Fourier coefficients, but not theeigenfunctions.

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Approximation Properties

Bessel’s Inequality

From formula (24) and the definition of E we have

0 ≤ E =

∫ b

af 2(x)σ(x)dx −

M∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore ∫ b

af 2(x)σ(x)dx ≥

M∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx .

This is known as Bessel’s inequality.

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Approximation Properties

Bessel’s Inequality

From formula (24) and the definition of E we have

0 ≤ E =

∫ b

af 2(x)σ(x)dx −

M∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx

and therefore ∫ b

af 2(x)σ(x)dx ≥

M∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx .

This is known as Bessel’s inequality.

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Approximation Properties

Parseval’s Identity

From the definition of the weighted least squares error

EM =

∫ b

a

[f (x)−

M∑n=1

anϕn(x)

]2

σ(x)dx

and the convergence properties of generalized Fourier series(convergence of the series to a value different from f (x) at finitelymany points x does not affect the values of the integral!) we get that

limM→∞

EM = 0.

This shows that the generalized Fourier series of f converges to f inthe least squares sense on the entire interval [a,b].

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Approximation Properties

Parseval’s Identity

From the definition of the weighted least squares error

EM =

∫ b

a

[f (x)−

M∑n=1

anϕn(x)

]2

σ(x)dx

and the convergence properties of generalized Fourier series(convergence of the series to a value different from f (x) at finitelymany points x does not affect the values of the integral!) we get that

limM→∞

EM = 0.

This shows that the generalized Fourier series of f converges to f inthe least squares sense on the entire interval [a,b].

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Approximation Properties

Moreover, formula (24) for M →∞ gives us∫ b

af 2(x)σ(x)dx =

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx .

This is known as Parseval’s identity, and can be viewed as ageneralization of the Pythagorean theorem to inner product spaces offunctions.

RemarkInner product spaces – and in particular Hilbert spaces – are studied inmuch more detail in functional analysis. They play a very importantrole in many applications.

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Approximation Properties

Moreover, formula (24) for M →∞ gives us∫ b

af 2(x)σ(x)dx =

∞∑n=1

a2n

∫ b

aϕ2

n(x)σ(x)dx .

This is known as Parseval’s identity, and can be viewed as ageneralization of the Pythagorean theorem to inner product spaces offunctions.

RemarkInner product spaces – and in particular Hilbert spaces – are studied inmuch more detail in functional analysis. They play a very importantrole in many applications.

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Approximation Properties

ExampleFor orthonormal eigenfunctions with weight σ ≡ 1, Parseval’s identitysays ∫ b

af 2(x)dx =

∞∑n=1

a2n.

The analogy with the Pythagorean theorem perhaps becomes moreapparent if we use inner product notation and norms. Then we have

‖f‖22 = 〈f , f 〉 =∞∑

n=1

a2n =

∞∑n=1

〈f , ϕn〉2.

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Approximation Properties

ExampleFor orthonormal eigenfunctions with weight σ ≡ 1, Parseval’s identitysays ∫ b

af 2(x)dx =

∞∑n=1

a2n.

The analogy with the Pythagorean theorem perhaps becomes moreapparent if we use inner product notation and norms. Then we have

‖f‖22 = 〈f , f 〉 =∞∑

n=1

a2n =

∞∑n=1

〈f , ϕn〉2.

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Appendix References

References I

R. Haberman.Applied Partial Differential Equations.Pearson (5th ed.), Upper Saddle River, NJ, 2012.

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