we have: seen how to interpret derivatives as slopes and rates of change seen how to estimate...

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We have: Seen how to interpret derivatives as slopes and rates of change Seen how to estimate derivatives of functions given by tables of values Learned how to graph derivatives of functions that are defined graphically Used the definition of a derivative to calculate the derivatives of functions defined by formulas DIFFERENTIATION RULES

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Page 1: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

We have: Seen how to interpret derivatives as slopes and rates

of change Seen how to estimate derivatives of functions given

by tables of values Learned how to graph derivatives of functions that

are defined graphically Used the definition of a derivative to calculate the

derivatives of functions defined by formulas

DIFFERENTIATION RULES

Page 2: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

However, it would be tedious if we always had

to use the definition.

So, in this chapter, we develop rules for finding

derivatives without having to use the definition

directly.

DIFFERENTIATION RULES

Page 3: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

These differentiation rules enable us to calculate

with relative ease the derivatives of:

Polynomials

Rational functions

Algebraic functions

Exponential and logarithmic functions

Trigonometric and inverse trigonometric functions

DIFFERENTIATION RULES

Page 4: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

3.1

Derivatives of Polynomials

and Exponential Functions

In this section, we will learn: How to differentiate constant functions, power functions,

polynomials, and exponential functions.

DIFFERENTIATION RULES

Page 5: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

Let us start with the simplest of all functions, the

constant function f(x) = c.

CONSTANT FUNCTION

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The graph of this function is the horizontal line y

= c, which has slope 0.

So, we must have f’(x) = 0.

CONSTANT FUNCTION

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A formal proof, from the definition of

a derivative, is also easy.

0

0 0

( )( ) lim

lim lim 0 0

h

h h

f x h f xf x

hc c

h

CONSTANT FUNCTION

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In Leibniz notation, we write this rule as follows.

( ) 0d

cdx

DERIVATIVE

Page 9: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

We next look at the functions f (x) = xn, where n

is a positive integer.

POWER FUNCTIONS

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If n = 1, the graph of f (x) = x is the line y = x,

which has slope 1.

So,

You can also verify Equation 1 from the definition of a derivative.

( ) 1d

xdx

POWER FUNCTIONS Equation 1

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We have already investigated the cases n = 2 and

n = 3.

In fact, in Section 2.8, we found that:

2 3 2( ) 2 ( ) 3 d d

x x x xdx dx

POWER FUNCTIONS Equation 2

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For n = 4 we find the derivative of f(x) = x4

as follows:

4 4

0 0

4 3 2 2 3 4 4

0

3 2 2 3 4

0

3 2 2 3 3

0

( ) ( ) ( )( ) lim lim

4 6 4lim

4 6 4lim

lim 4 6 4 4

h h

h

h

h

f x h f x x h xf x

h h

x x h x h xh h x

h

x h x h xh h

h

x x h xh h x

POWER FUNCTIONS

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Thus,

4 3( ) 4d

x xdx

POWER FUNCTIONS Equation 3

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Comparing Equations 1, 2, and 3, we see a

pattern emerging.

It seems to be a reasonable guess that, when n is a positive integer, (d/dx)(xn) = nxn - 1.

This turns out to be true.

POWER FUNCTIONS

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If n is a positive integer, then

1( ) n ndx nx

dx

POWER RULE

Page 16: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The formula

can be verified simply by multiplying out the

right-hand side (or by summing the second

factor as a geometric series).

1 2 2 1( )( ) n n n n n nx a x a x x a xa a

Proof 1POWER RULE

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If f (x) = x n, we can use Equation 5 in Section

2.7 for f’(a) and the previous equation to write:

1 2 2 1

1 2 2 1

1

( ) ( )'( ) lim lim

lim( )

n n

x a x a

n n n n

x a

n n n n

n

f x f a x af a

x a x a

x x a xa a

a a a aa a

na

POWER RULE Proof 1

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We illustrate the Power Rule using various

notations in Example 1.

POWER RULE

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a.If f (x) = x6, then f’(x) = 6x5

b.If y = x1000, then y’ = 1000x999

c.If y = t 4, then

d. 3 2( ) 3

dr r

dr

Example 1POWER RULE

34dy

tdt

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What about power functions with negative

integer exponents?

In Exercise 61, we ask you to verify from the definition of a derivative that:

We can rewrite this equation as:

2

1 1

d

dx x x

1 21 d

x xdx

NEGATIVE INTEGERS

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So, the Power Rule is true when n = -1.

In fact, we will show in the next section that it holds for all negative integers.

NEGATIVE INTEGERS

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What if the exponent is a fraction?

In Example 3 in Section 2.8, we found that:

This can be written as:

1

2

dx

dx x

1 2 1 212

d

x xdx

FRACTIONS

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This shows that the Power Rule is true even

when n = ½.

In fact, we will show in Section 3.6 that it is true

for all real numbers n.

FRACTIONS

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If n is any real number, then

1( ) n ndx nx

dx

POWER RULE—GENERAL VERSION

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Differentiate:

a.

b.

In each case, we rewrite the function as a power of x.

2

1( ) f x

x3 2y x

Example 2POWER RULE

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Since f(x) = x-2, we use the Power Rule with

n = -2:

Example 2 a

2

2 1

33

'( ) ( )

2

22

df x x

dx

x

xx

POWER RULE

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3 2

2 3

2 3 1 1 323

( )

( )

2

3

dy dx

dx dxd

xdx

x x

POWER RULE Example 2 b

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The Power Rule enables us to find tangent lines

without having to resort to the definition of a

derivative.

TANGENT LINES

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It also enables us to find normal lines.

The normal line to a curve C at a point P is the line through P that is perpendicular to the tangent line at P.

In the study of optics, one needs to consider the angle between a light ray and the normal line to a lens.

NORMAL LINES

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Find equations of the tangent line and normal

line to the curve at the point (1, 1).

Illustrate by graphing the curve and these lines.

Example 3TANGENT AND NORMAL LINES

y x x

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The derivative of is:

So, the slope of the tangent line at (1, 1) is:

Thus, an equation of the tangent line is:

or

321 2( ) f x x x xx x

3 2 1 1/ 23 3 32 2 2'( ) f x x x x

32'(1) f

321 ( 1) y x 3 1

2 2 y x

Example 3TANGENT LINE

Page 32: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The normal line is perpendicular to the tangent

line.

So, its slope is the negative reciprocal of , that is .

Thus, an equation of the normal line is:

52 23 3 31 ( 1) or y x y x

Example 3NORMAL LINE

322

3

Page 33: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

We graph the curve and its tangent line and

normal line here.

Example 3TANGENT AND NORMAL LINES

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When new functions are formed from old

functions by addition, subtraction, or

multiplication by a constant, their derivatives

can be calculated in terms of derivatives of the

old functions.

NEW DERIVATIVES FROM OLD

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In particular, the following formula says that:

the derivative of a constant times a function

is the constant times the derivative of the

function.

NEW DERIVATIVES FROM OLD

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If c is a constant and f is a differentiable

function, then

( ) ( )d d

cf x c f xdx dx

CONSTANT MULTIPLE RULE

Page 37: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

Let g(x) = cf(x). Then,

0

0

0

0

( ) ( )( ) lim

( ) ( )lim

( ) ( )lim

( ) ( )lim (Law 3 of limits)

( )

h

h

h

h

g x h g xg x

hcf x h cf x

hf x h f x

ch

f x h f xc

hcf x

ProofCONSTANT MULTIPLE RULE

Page 38: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

4 4

3 3

.a. (3 ) 3 ( )

3(4 ) 12

b. ( ) ( 1)

1 ( ) 1(1) 1

d dx x

dx dx

x x

d dx x

dx dxd

xdx

NEW DERIVATIVES FROM OLD Example 4

Page 39: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The next rule tells us that the derivative of a sum

of functions is the sum of the derivatives.

NEW DERIVATIVES FROM OLD

Page 40: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

If f and g are both differentiable, then

( ) ( ) ( ) ( ) d d d

f x g x f x g xdx dx dx

SUM RULE

Page 41: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

Let F(x) = f(x) + g(x). Then,

0

0

0

0 0

( ) ( )( ) lim

( ) ( ) ( ) ( )lim

( ) ( ) ( ) ( )lim

( ) ( ) ( ) ( )lim lim (Law 1)

( ) ( )

h

h

h

h h

F x h F xF x

hf x h g x h f x g x

hf x h f x g x h g x

h h

f x h f x g x h g x

h hf x g x

ProofSUM RULE

Page 42: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The Sum Rule can be extended to the sum of any

number of functions.

For instance, using this theorem twice, we get:

( ) ( )

( )

f g h f g h

f g h

f g h

SUM RULE

Page 43: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

By writing f - g as f + (-1)g and applying the

Sum Rule and the Constant Multiple Rule, we

get the following formula.

NEW DERIVATIVES FROM OLD

Page 44: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

If f and g are both differentiable, then

( ) ( ) ( ) ( ) d d d

f x g x f x g xdx dx dx

DIFFERENCE RULE

Page 45: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The Constant Multiple Rule, the Sum Rule, and

the Difference Rule can be combined with the

Power Rule to differentiate any polynomial—as

the following examples demonstrate.

NEW DERIVATIVES FROM OLD

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8 5 4 3

8 5 4

3

7 4 3 2

7 4 3 2

( 12 4 10 6 5)

12 4

10 6 5

8 12 5 4 4 10 3 6 1 0

8 60 16 30 6

dx x x x x

dxd d d

x x xdx dx dx

d d dx x

dx dx dx

x x x x

x x x x

NEW DERIVATIVES FROM OLD Example 5

Page 47: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

8 5 4 3

8 5 4 3

7 4 3 2

7 4 3 2

( 12 4 10 6 5)

12 4 10 6 5

8 12 5 4 4 10 3 6 1 0

8 60 16 30 6

dx x x x x

dx

x x x x x

x x x x

x x x x

NEW DERIVATIVES FROM OLD Example 5

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Find the points on the curve

y = x4 - 6x2 + 4

where the tangent line is horizontal.

NEW DERIVATIVES FROM OLD Example 6

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Horizontal tangents occur where the derivative is

zero.

We have:

Thus, dy/dx = 0 if x = 0 or x2 – 3 = 0, that is,

4 2

3 2

( ) 6 ( ) (4)

4 12 0 4 ( 3)

dy d d dx x

dx dx dx dx

x x x x

NEW DERIVATIVES FROM OLD Example 6

3x

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So, the given curve has horizontal tangents when

x = 0, , and .

The corresponding points are (0, 4), ( , -5), and ( , -5).

NEW DERIVATIVES FROM OLD Example 6

33

3 3

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The equation of motion of a particle is

s = 2t3 - 5t2 + 3t + 4, where s is measured in

centimeters and t in seconds.

Find the acceleration as a function of time.

What is the acceleration after 2 seconds?

NEW DERIVATIVES FROM OLD Example 7

Page 52: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The velocity and acceleration are:

The acceleration after 2 seconds is: a(2) = 14 cm/s2

2( ) 6 10 3

( ) 12 10

dsv t t t

dtdv

a t tdt

NEW DERIVATIVES FROM OLD Example 7

Page 53: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

Let us try to compute the derivative of the

exponential function f(x) = a x using the

definition of a derivative:

0 0

0 0

( ) ( )( ) lim lim

( 1)lim lim

x h x

h h

x h x x h

h h

f x h f x a af x

h h

a a a a a

h h

EXPONENTIAL FUNCTIONS

Page 54: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The factor ax does not depend on h. So, we can

take it in front of the limit:

Notice that the limit is the value of the derivative of f at 0, that is,

0

1( ) lim

h

x

h

af x a

h

0

1lim (0)

h

h

af

h

EXPONENTIAL FUNCTIONS

Page 55: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The factor ax does not depend on h. So, we can

take it in front of the limit:

Notice that the limit is the value of the derivative of f at 0, that is,

0

1( ) lim

h

x

h

af x a

h

0

1lim ln

h

h

aa

h

EXPONENTIAL FUNCTIONS

Page 56: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

Thus, we have shown that, if the exponential

function f (x) = a x is differentiable at 0, then

it is differentiable everywhere and

The equation states that the rate of change of any exponential function is proportional to the function itself.

The slope is proportional to the height.

EXPONENTIAL FUNCTIONS Equation 4

( ) (0) ln x xf x f a a a

Page 57: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

If we put a = e and, therefore, f’(0) = ln(e) = 1 in

Equation 4, it becomes the following important

differentiation formula.

EXPONENTIAL FUNCTIONS

Page 58: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

The derivative of the natural exponential

function is:

( ) x xde e

dx

DERIVATIVE OF THE NATURAL EXPONENTIAL FUNCTION

Page 59: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

Thus, the exponential function f(x) = e x has the

property that it is its own derivative.

The geometrical significance of this fact is that the slope of a tangent line to the curve y = ex is equal to the coordinate of the point.

EXPONENTIAL FUNCTIONS

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If f(x) = ex - x, find f’ and f’’.

Compare the graphs of f and f’.

EXPONENTIAL FUNCTIONS Example 8

Page 61: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

Using the Difference Rule, we have:

( ) ( )

( ) ( )

1

x

x

x

df x e x

dxd d

e xdx dx

e

EXPONENTIAL FUNCTIONS Example 8

Page 62: We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values

In Section 2.8, we defined the second derivative

as the derivative of f’.

So,( ) ( 1)

( ) (1)

x

x

x

df x e

dxd d

edx dx

e

EXPONENTIAL FUNCTIONS Example 8

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The function f and its derivative f’ are graphed

here.

Notice that f has a horizontal tangent when x = 0.

This corresponds to the fact that f’(0) = 0.

EXPONENTIAL FUNCTIONS Example 8

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Notice also that, for x > 0, f’(x) is positive and f

is increasing.

When x < 0, f’(x) is negative and f is decreasing.

EXPONENTIAL FUNCTIONS Example 8

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At what point on the curve y = ex is the tangent

line parallel to the line y = 2x?

EXPONENTIAL FUNCTIONS Example 9

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Since y = ex, we have y’ = ex.

Let the x-coordinate of the point in question be

a.

Then, the slope of the tangent line at that point is ea.

EXPONENTIAL FUNCTIONS Example 9

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This tangent line will be parallel to the line

y = 2x if it has the same slope, that is, 2.

Equating slopes, we get:

ea = 2 a = ln 2

EXPONENTIAL FUNCTIONS Example 9

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Thus, the required point is: (a, ea) = (ln 2, 2)

EXPONENTIAL FUNCTIONS Example 9