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Second Order Linear Differential Equations A second order linear differential equa- tion is an equation which can be writ- ten in the form y + p(x)y + q (x)y = f (x) (1) where p, q , and f are continuous functions on some interval I . The functions p and q are called the coefficients of the equation. 1

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Page 1: Chapter 3 Slides

Second Order Linear Differential

Equations

A second order linear differential equa-

tion is an equation which can be writ-

ten in the form

y′′ + p(x)y′ + q(x)y = f(x) (1)

where p, q, and f are continuous

functions on some interval I.

The functions p and q are called the

coefficients of the equation.1

Page 2: Chapter 3 Slides

The function f is called the forcing

function or the nonhomogeneous term

.

Page 3: Chapter 3 Slides

“Linear”

Set L[y] = y′′ + p(x)y′ + q(x)y.

Then, for any two twice differentiable

functions y1(x) and y2(x),

L[y1(x) + y2(x)] = L[y1(x)] + L[y2(x)]

and, for any constant c,

L[cy(x)] = cL[y(x)].

That is, L is a linear differential

operator.

2

Page 4: Chapter 3 Slides

Existence and Uniqueness

THEOREM Given the second order

linear equation (1). Let a be any

point on the interval I, and let α and

β be any two real numbers. Then the

initial-value problem

y′′ + p(x) y′ + q(x) y = f(x),

y(a) = α, y′(a) = β

has a unique solution.

3

Page 5: Chapter 3 Slides

Homogeneous/Nonhomogeneous

Equations

The linear differential equation

y′′ + p(x)y′ + q(x)y = f(x) (1)

is homogeneous if the function f on

the right side is 0 for all x ∈ I. In

this case, the equation becomes

y′′ + p(x) y′ + q(x) y = 0.

(1) is nonhomogeneous if f is not

the zero function on I.4

Page 6: Chapter 3 Slides

Homogeneous Equations

y′′ + p(x) y′ + q(x) y = 0 (H)

where p and q are continuous func-

tions on some interval I.

Trivial Solution The zero function,

y(x) = 0 for all x ∈ I, ( y ≡ 0) is

a solution of (H). (y ≡ 0 implies y′ ≡

0 and y′′ ≡ 0). The zero solution is

called the trivial solution. Any other

solution is a nontrivial solution.5

Page 7: Chapter 3 Slides

Basic Theorems

THEOREM 1 If y = y(x) is a solu-

tion of (H) and if C is any real num-

ber, then

u(x) = Cy(x)

is also a solution of (H).

Any constant multiple of a solution of

(H) is also a solution of (H).

6

Page 8: Chapter 3 Slides

THEOREM 2 If y = y1(x) and

y = y2(x) are any two solutions of

(H), then

u(x) = y1(x) + y2(x)

is also a solution of (H).

The sum of any two solutions of (H) is

also a solution of (H). (Some call this

property the superposition principle).

7

Page 9: Chapter 3 Slides

DEFINITION (Linear Combinations)

Let f = f(x) and g = g(x) be func-

tions defined on some interval I, and

let C1 and C2 be real numbers. The

expression

C1f(x) + C2g(x)

is called a linear combination of f

and g.

8

Page 10: Chapter 3 Slides

THEOREM 3 If y = y1(x) and

y = y2(x) are any two solutions of

(H), and if C1 and C2 are any two

real numbers, then

y(x) = C1y1(x) + C2y2(x)

is also a solution of (H).

Any linear combination of solutions of

(H) is also a solution of (H).

9

Page 11: Chapter 3 Slides

NOTE: y(x) = C1y1(x) + C2y2x is

a two-parameter family which ”looks

like“ the general solution. Is it???

Example: y′′ −1

xy′ −

15

x2y = 0

a. y1(x) = x5, y2(x) = 3x5

y = C1x5 + C2(3x5)

b. y1(x) = x5, y2(x) = x−3

y = C1x5 + C2x−3

10

Page 12: Chapter 3 Slides

DEFINITION: Wronskian

Let y = y1(x) and y = y2(x) be solu-

tions of (H). The function W defined

by

W [y1, y2](x) = y1(x)y′2(x) − y2(x)y

′1(x)

is called the Wronskian of y1, y2.

Determinant notation:

W (x) = y1(x)y′2(x) − y2(x)y

′1(x)

=

∣∣∣∣∣∣y1(x) y2(x)y′1(x) y′2(x)

∣∣∣∣∣∣

11

Page 13: Chapter 3 Slides
Page 14: Chapter 3 Slides

THEOREM 4 Let y = y1(x) and

y = y2(x) be solutions of equation (H),

and let W (x) be their Wronskian. Ex-

actly one of the following holds:

(i) W (x) = 0 for all x ∈ I and y1 is

a constant multiple of y2 or vv.

(ii) W (x) 6= 0 for all x ∈ I and

y = C1y1(x) + C2y2(x)

is the general solution of (H)

12

Page 15: Chapter 3 Slides

Fundamental Set; Solution basis

DEFINITION A pair of solutions

y = y1(x), y = y2(x)

of equation (H) forms a fundamental

set of solutions (also called a solution

basis) if

W [y1, y2](x) 6= 0 for all x ∈ I.

13

Page 16: Chapter 3 Slides

Homogeneous Equations with Con-

stant Coefficients

y′′ + ay′ + by = 0 (1)

where a and b are constants.

Solutions: y = erx

is a solution if and only if

r2 + ar + b = 0 (2)

Equation (2) is called the character-

istic equation of equation (1)

14

Page 17: Chapter 3 Slides

The solutions of the differential equa-

tion (1) depend on the roots of its

characteristic equation (2).

1. (2) has two, distinct real roots,

r1 = α, r2 = β.

2. (2) has only one real root, r = α.

3. (2) has complex conjugate roots,

r1 = α + i β, r2 = α − i β, β 6= 0.

15

Page 18: Chapter 3 Slides

Case I: (2) has two, distinct real roots,

r1 = α, r2 = β. Then

y1(x) = eαx and y2(x) = eβx

are solutions of (1). α 6= β, y1 and

y2 are not constant multiples of each

other, {y1, y2} is a fundamental set,

W [y1, y2] = (β − α)e(α+β)x 6= 0,

and

y = C1 eαx + C2 eβx

is the general solution.

16

Page 19: Chapter 3 Slides

Example: Find the general solution

of

y′′ − 2y′ − 15y = 0.

Answer: y = C1e5x + C2e−3x.17

Page 20: Chapter 3 Slides

Case II: The characteristic equation

has only one real root, r = α; (α is

a double root). Then

y1(x) = eαx and y2(x) = x eαx

are linearly independent solutions of equa-

tion (1) and

y = C1 eαx + C2 x eαx

is the general solution.

18

Page 21: Chapter 3 Slides

Example: Find the general solution

of

y′′ + 6y′ + 9y = 0.

Answer: y = C1e−3x + C2 xe−3x.19

Page 22: Chapter 3 Slides

Case III: The characteristic equation

has complex conjugate roots:

r1 = α + i β, r2 = α + i β, β 6= 0

In this case

y1(x) = eαx cos βx, y2(x) = eαx sin βx

are linearly independent solutions of equa-

tion (1) and

y = C1 eαx cos βx + C2 eαx sin βx

is the general solution.

20

Page 23: Chapter 3 Slides

Example: Find the general solution

of

y′′ − 4y′ + 13y = 0.

Answer: y = C1e2x cos 3x+C2e2x sin 3x.

21

Page 24: Chapter 3 Slides

Examples:

1. Find the general solution of

y′′ + 6y′ + 8y = 0.

2. Find the general solution of

y′′ − 10y′ + 25y = 0.

3. Find the solution of the initial-value

problem

y′′−4y′+8y = 0, y(0) = 1, y′(0) = −2.

22

Page 25: Chapter 3 Slides

4. Find the differential equation that

has

y = C1e2x + C2e−3x

as its general solution.

5. y = 5xe−4x is a solution of a sec-

ond order homogeneous equation with

constant coefficients.

a. What is the equation?

b. What is the general solution?

23

Page 26: Chapter 3 Slides

6. y = 4e−2x sin 3x is a solution of

a second order homogeneous equation

with constant coefficients.

a. What is the equation?

b. What is the general solution?

24

Page 27: Chapter 3 Slides

Second Order Nonhomogeneous

Equations

y′′ + p(x)y′ + q(x)y = f(x) (N)

The corresponding homogeneous equation

y′′ + p(x)y′ + q(x)y = 0 (H)

is called the reduced equation of (N).

25

Page 28: Chapter 3 Slides

General Results

THEOREM 1. If

z = z1(x) and z = z2(x)

are solutions of equation (N), then

y(x) = z1(x) − z2(x)

is a solution of equation (H).

THEOREM 2. Let

y = y1(x) and y = y2(x)

be linearly independent solutions of the reduced

equation (H) and let z = z(x) be a particular

solution of (N). Then

y(x) = C1y1(x) + C2y2(x) + z(x)

is the general solution of (N).

26

Page 29: Chapter 3 Slides

The general solution of (N) consists of the gen-

eral solution of the reduced equation (H) plus

a particular solution of (N):

y = C1y1(x) + C2y2(x)︸ ︷︷ ︸general solution of (H)

+ z(x).︸ ︷︷ ︸part. soln. of (N)

To find the general solution of (N) you need

to find:

(i) a linearly independent pair of solutions y1, y2

of the reduced equation (H), and

(ii) a particular solution z of (N).

27

Page 30: Chapter 3 Slides

THEOREM (Superposition Principle) If z =

zf(x) and z = zg(x) are particular solutions

of

y′′ + p(x)y′ + q(x)y = f(x)

and

y′′ + p(x)y′ + q(x)y = g(x)

respectively, then

z(x) = zf(x) + zg(x)

is a particular solution of

y′′ + p(x)y′ + q(x)y = f(x) + g(x).

28

Page 31: Chapter 3 Slides

Variation of Parameters

Let y = y1(x) and y = y2(x) be independent

solutions of the reduced equation (H) and let

W (x) = W (x) = y1y′2 − y2y′1

be their Wronskian.

Set z(x) = y1(x)u(x) + y2(x)v(x)

where

u′(x) = −y2(x)f(x)

W (x)dx, v′(x) =

y1(x)f(x)

W (x)dx,

Then, z is a particular solution of the nonho-

mogeneous equation (N).

29

Page 32: Chapter 3 Slides

That is,

u(x) =∫ −y2(x)f(x)

W (x)dx,

v(x) =∫

y1(x)f(x)

W (x)dx,

and

z(x) =

y1(x)∫ −y2(x)f(x)

W (x)dx + y2(x)

∫y1(x)f(x)

W (x)dx

is a particular solution of (N).

30

Page 33: Chapter 3 Slides

Examples:

1. {y1(x) = x2, y2(x) = x4} is a fundamental

set of solutions of the reduced equation of

y′′ −5

xy′ +

8

x2y = 4x3

Find a particular solution z of the equation.

Answer: z(x) =4

3x5

31

Page 34: Chapter 3 Slides

2. {y1(x) = e2x, y2(x) = e−3x} is a funda-

mental set of solutions of the reduced equation

of

y′′ + y′ − 6y = 3e2x

Find the general solution of the equation.

Answer: y(x) = C1 e2x + C2 e−3x +3

5x e2x

32

Page 35: Chapter 3 Slides

Undetermined Coefficients

A particular solution of y′′ + ay′ + by = f(x) :

• If f(x) = cerx set z(x) = Aerx

Example: Find a particular solution of

y′′ − 5y′ + 6y = 7e−4x.

Set

z = Ae−4x

where A is to be determined

Answer: z = 16 e−4x.

The general solution of the differential equa-

tion is:

y = C1e2x + C2e3x +1

6e−4x.

33

Page 36: Chapter 3 Slides

• If f(x) = c cos βx, d sin βx,

or c cos βx + d sin βx

set z(x) = A cos βx + B sin βx

Example: Find a particular solution of

y′′ − 2y′ + y = 3cos 2x.

Set

z = A cos 2x + B sin 2x

where A, B are to be determined

Answer: z = − 925 cos 2x − 12

25 sin 2x.

The general solution of the differential equa-

tion is:

y = C1ex + C2xex −9

25cos 2x −

12

25sin 2x.

34

Page 37: Chapter 3 Slides

Example: Find a particular solution of

y′′ − 2y′ + 5y = 2cos 3x − 4 sin 3x + 7

Set

z = A cos 3x + B sin 3x + C

where A, B, C are to be determined.

Answer: z = − 813 cos 3x + 1

13 sin 3x + 75.

35

Page 38: Chapter 3 Slides

• If f(x) = ceαx cos βx, deαx sin βx

or ceαx cos βx + deαx sin βx

set z(x) = Aeαx cos βx + Beαx sin βx

Example: Find a particular solution of

y′′ + 9y = 4ex sin 2x.

Set

z = Aex cos 2x + Bex sin 2x

where A, B are to be determined.

Answer: z = − 213 ex cos 2x + 6

13 ex sin 2x.

36

Page 39: Chapter 3 Slides

A Difficulty: The trial solution z is a solution

of the reduced equation.

Examples:

1. Find a particular solution of

y′′ − 6y′ + 8y = 3e2x.

2. Find a particular solution of

y′′ − 6y′ + 9y = 5e3x.

3. Find a particular solution of

y′′ + 4y = 4cos 2x.

Answers:

z1 = −3

2x e2x

z2 =5

2x2 e3x

z3 = x sin 2x +1

4cos 2x

37

Page 40: Chapter 3 Slides

The Method of Undetermined

Coefficients

A. Applies only to equations of the form

y′′ + ay′ + by = f(x)

where a, b are constants and f is an “ex-

ponential” function.

38

Page 41: Chapter 3 Slides

B. Basic Case: If:

• f(x) = aerx set z = Aerx.

• f(x) = c cos βx, d sin βx, or

c cos βx + d sin βx,

set z = A cos βx + B sin βx.

• f(x) = ceαx cos βx, deαx sin βx or

ceαx cos βx + deαx sin βx,

set z = Aeαx cos βx + Beαx sin βx.

Note: If z satisfies the reduced equation, try

xz; if xz also satisfies the reduced equation,

then x2z will give a particular solution.

39

Page 42: Chapter 3 Slides

C. General Case:

• If

f(x) = p(x)erx

where p is a polynomial of degree n, then

set z = P(x)erx

where P is a polynomial of degree n with

undetermined coefficients.

Example: Find a particular solution of

y′′ − y′ − 6y = (2x2 − 1)e2x.

Set z = (Ax2 + Bx + C)e2x.

Answer: z =(−1

2x2 − 34x − 9

16

)e2x.

40

Page 43: Chapter 3 Slides

• If

f(x) = p(x) cos βx + q(x) sin βx

where p, q are polynomials of degree n, then

set z = P(x) cos βx + Q(x) sin βx

where P, Q are polynomials of degree n with

undetermined coefficients.

Example: Find a particular solution of

y′′ − 2y′ − 3y = x cos 2x + (3x − 1) sin 2x.

Set z = (Ax + B) cos 2x + (Cx + D) sin 2x.

Answer:

z =1

169(13x−46) cos 2x−

1

169(65x−9) sin 2x.

41

Page 44: Chapter 3 Slides

• If

f(x) = p(x)eαx cos βx + q(x)eαx sin βx

where p, q are polynomials of degree n, then

set z = P(x)eαx cos βx + Q(x)eαx sin βx

where P, Q are polynomials of degree n with

undetermined coefficients.

Example: Find a particular solution of y′′ +

4y = 2x ex cos x.

Answer:

z =1

25(10x − 7)ex cos x +

1

25(5x − 1)ex sin x.

42

Page 45: Chapter 3 Slides

Note: If any part of z satisfies the reduced

equation, try xz; if any part of xz also satisfies

the reduced equation, then x2z will give a

particular solution.

43

Page 46: Chapter 3 Slides

Examples

Give the form of a particular solution of the

differential equation:

1. y′′ − 4y′ − 5y = 2cos 3x − 5e5x + 4.

2. y′′ + 8y′ + 16y = 2x − 1 + 7e−4x.

3. y′′ + y = 4sin x − cos 2x + 2e2x.

Answers:

z1 = A cos 3x + B sin 3x + Cxe5x + D.

z2 = Ax + B + Cx2e−4x.

z3 = Ax cos x+Bx sin x+C cos 2x+D sin 2x+Ee2x.

44

Page 47: Chapter 3 Slides

Summary:

1. Variation of parameters:

Can be applied to any linear nonhomogeneous

equations, but

requires a fundamental set of solutions of the

reduced equation.

2. Undetermined coefficients:

Is limited to linear nonhomogeneous equations

with constant coefficients, and

f must be an “exponential function,” i.e.,

f(x) = aerx, f(x) = c cos βx + d sin βx,

f(x) = ceαx cos βx + deαx sin βx

45

Page 48: Chapter 3 Slides

In cases where both methods are applicable,

the method of undetermined coefficients is usu-

ally more efficient and, hence, the preferable

method.

Page 49: Chapter 3 Slides

Vibrating Mechanical Systems

Undamped, Free Vibrations

Hooke’s Law: The restoring force of a spring

is proportional to the displacement:

F = −ky, k > 0.

Newton’s Second Law: Force equals mass

times acceleration:

F = ma = md2y

dt2.

Mathematical model:

md2y

dt2= −ky

which can be written

d2y

dt2+ ω2y = 0

where ω =√

k/m.

46

Page 50: Chapter 3 Slides

The general solution of this equation is:

y = C1 sin ωt + C2 cos ωt

which can be written

y = A sin (ωt + φ).

A is called the amplitude, φ is called the

phase shift.

47

Page 51: Chapter 3 Slides

Damped, Free Vibrations A resistance force

R proportional to the velocity v = y′ and

acting in a direction opposite to the motion:

R = −cy′ with c > 0.

Force Equation:

F = −ky(t) − cy′(t).

Newton’s Second Law: F = ma = my′′

Mathematical Model:

my′′(t) = −ky(t) − cy′(t)

or

y′′ +c

my′ +

k

my = 0 (c, k, m constant)

48

Page 52: Chapter 3 Slides

Characteristic equation:

r2 +c

mr +

k

m= 0.

Roots

r =−c ±

√c2 − 4km

2m.

There are three cases to consider:

c2 − 4km < 0,

c2 − 4km > 0,

c2 − 4km = 0.

49

Page 53: Chapter 3 Slides

Case 1: c2 − 4km < 0. Complex roots:

(Underdamped)

r1 = −c

2m+ iω, r2 = −

c

2m− iω

where ω =

√4km − c2

2m.

General solution:

y = e(−c/2m)t (C1 cos ωt + C2 sin ωt)

or

y(t) = A e(−c/2m)t sin (ωt + φ0)

where A and φ0 are constants, A > 0, φ0 ∈

[0,2π). The motion is oscillatory.

50

Page 54: Chapter 3 Slides

Underdamped Case:

51

Page 55: Chapter 3 Slides

Case 2: c2 − 4km > 0. Two distinct real

roots:

(Overdamped)

r1 =−c +

√c2 − 4km

2m, r2 =

−c −√

c2 − 4km

2m.

General solution:

y(t) = y = C1er1t + C2er2t.

The motion is nonoscillatory.

Since√

c2 − 4km <

√c2 = c,

r1 and r2 are both negative and y(t) → 0

as t → ∞.

52

Page 56: Chapter 3 Slides

Case 3: c2 − 4km = 0. One real root:

(Critically Damped)

r1 =−c

2m,

General solution:

y(t) = y = C1e−(c/2m) t + C2t e−(c/2m) t.

The motion is nonoscillatory and y(t) → 0 as

t → ∞.

53

Page 57: Chapter 3 Slides

Overdamped and Critically Damped Cases:

54

Page 58: Chapter 3 Slides

Forced Vibrations

Apply an external force G to an undamped,

freely vibrating system

Force Equation:

F = −ky + G.

Mathematical Model:

my′′ = −ky + G or y′′ +k

my =

G

m,

a nonhomogeneous equation.

55

Page 59: Chapter 3 Slides

A periodic external force:

G = F0 cos γt,

F0 and γ positive constants.

Force Equation:

F = −kx + F0 cos γt

Mathematical Model:

y′′ +k

my =

F0

mcos γt

or

y′′ + ω2y =F0

mcos γt

where ω =√

k/m.

ω/2π is called the natural frequency of the

system, γ/2π is called the applied frequency.

56

Page 60: Chapter 3 Slides

Case 1: γ 6= ω.

y′′ + ω2y =F0

mcos γt

General solution, reduced equation:

y = A sin (ωt + φ0).

Form of particular solution (undetermined co-

efficients):

z = A cos γt + B sin γt.

A particular solution:

z =F0/m

ω2 − γ2cos γt.

General solution:

y = A sin (ωt + φ0) +F0/m

ω2 − γ2cos γt.

57

Page 61: Chapter 3 Slides

Case 2: γ = ω.

y′′ + ω2y =F0

mcos ωt

General solution, reduced equation:

y = A sin (ωt + φ0).

Form of particular solution (undetermined co-

efficients):

z = A t cos γt + B t sin γt.

A particular solution:

F0

2ωmt sin ωt.

General solution:

y = A sin (ωt + φ0) +F0

2ωmt sin ωt.

Resonance: Unbounded oscillation!

58

Page 62: Chapter 3 Slides

Resonance

y = A sin (ωt + φ0) +F0

2ωmt sin ωt.

59