50
3 DIFFERENTIATION RULES DIFFERENTIATION RULES

3 DIFFERENTIATION RULES. We have: Seen how to interpret derivatives as slopes and rates of change Seen how to estimate derivatives of functions given

Embed Size (px)

Citation preview

Page 1: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

3DIFFERENTIATION RULESDIFFERENTIATION RULES

Page 2: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 3: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

3.1Derivatives 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: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Let’s start with the simplest of

all functions—the constant function

f(x) = c.

CONSTANT FUNCTION

Page 6: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

The graph of this function is the

horizontal line y = c, which has slope 0.

So, we must have f’(x) = 0.

CONSTANT FUNCTION

Page 7: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

A formal proof—from the definition of

a derivative—is also easy.

0

0 0

( )'( ) lim

lim lim0 0

h

h h

f x h f xf x

hc c

h

CONSTANT FUNCTION

Page 8: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

We next look at the functions

f(x) = xn, where n is a positive

integer.

POWER FUNCTIONS

Page 9: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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.

( ) 1dx

dx

POWER FUNCTIONS Equation 1

Page 10: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

We have already investigated the cases

n = 2 and n = 3.

In fact, in Section 2.8, we found that:

2 3 2( ) 2 ( ) 3d dx x x x

dx dx

POWER FUNCTIONS Equation 2

Page 11: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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

Page 12: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

If n is a positive integer,

then1( )n nd

x nxdx

POWER RULE

Page 13: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

In finding the derivative of x4, we had to

expand (x + h)4.

Here, we need to expand (x + h)n .

To do so, we use the Binomial Theorem—as follows.

0 0

( ) ( ) ( )'( ) lim lim

n n

h h

f x h f x x h xf x

h h

Proof 2POWER RULE

Page 14: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

This is because every term except the first has h as a factor and therefore approaches 0.

1 2 2 1

0

1 2 2 1

0

1 2 2 1 1

0

( 1)2

'( ) lim

( 1)2lim

( 1)lim

2

n n n n n n

h

n n n n

h

n n n n n

h

n nx nx h x h nxh h x

f xh

n nnx h x h nxh h

hn n

nx x h nxh h nx

POWER RULE Proof 2

Page 15: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

a.If f(x) = x6, then f’(x) = 6x5

b.If y = x1000, then y’ = 1000x999

c.If y = t4, then

d. = 3r23( )

dr

dr

Example 1POWER RULE

34dy

tdt

Page 16: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 1d

dx x x

1 21dx x

dx

NEGATIVE INTEGERS

Page 17: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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

dx x

dx

FRACTIONS

Page 18: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

If n is any real number,

then1( )n nd

x nxdx

POWER RULE—GENERAL VERSION

Page 19: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Differentiate:

a.

b.

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

2

1( )f x

x

3 2y x

Example 2POWER RULE

Page 20: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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

Page 21: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

3 2

2 3

2 3 1 1 323

( )

( )

2

3

dy dx

dx dxdx

dx

x x

POWER RULE Example 2 b

Page 22: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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

Page 23: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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

Page 24: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 2y x

Example 3TANGENT LINE

Page 25: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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:

or231 ( 1)y x 52

3 3y x

Example 3NORMAL LINE

322

3

Page 26: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

We graph the curve and its tangent line

and normal line here.

Example 3TANGENT AND NORMAL LINES

Page 27: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

If c is a constant and f is a differentiable

function, then

( ) ( )d dcf x c f x

dx dx

CONSTANT MULTIPLE RULE

Page 28: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 29: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 dxdx

dx

NEW DERIVATIVES FROM OLD Example 4

Page 30: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

If f and g are both differentiable,

then

( ) ( ) ( ) ( )d d df x g x f x g x

dx dx dx

SUM RULE

Page 31: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 32: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

If f and g are both differentiable,

then

( ) ( ) ( ) ( )d d df x g x f x g x

dx dx dx

DIFFERENCE RULE

Page 33: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 dx x x

dx dx dxd d dx x

dx dx dx

x x x x

x x x x

NEW DERIVATIVES FROM OLD Example 5

Page 34: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Find the points on the curve

y = x4 - 6x2 + 4

where the tangent line is horizontal.

NEW DERIVATIVES FROM OLD Example 6

Page 35: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Horizontal tangents occur where

the derivative is zero.

We have:

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

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

3

Page 36: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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

Page 37: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 38: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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 39: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Let’s try to compute the derivative of

the exponential function f(x) = ax 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 40: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

The factor ax doesn’t depend on h.

So, we can take it in front of the limit:

0

1'( ) lim

hx

h

af x a

h

EXPONENTIAL FUNCTIONS

Page 41: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

41

Calculating the derivative of g(x) = 2x

0

2 1lim ?

h

hBut what is

h

(2 )0.693 2 2

xx xdk

dx

: ln 2 .6931Note

Page 42: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

42

Similar calculations show the following for other values of a:

( )x xd ak a

dx

: ln 2 .6931Note

ln 3 1.0986ln 4 1.3863ln 5 1.6094ln 6 1.7918ln 7 1.9459

Page 43: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Thus, we have:

(2 ) ln 2 2 (3 ) ln 3 3x x x xd d

dx dx

EXPONENTIAL FUNCTIONS Equation 5

Page 44: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Consider 0

1lim ,

h

h

e

h

DEFINITION OF THE NUMBER e

1

.001 .9995

.0001 .99995

.00001 .999995

.00001 1.000005

.0001 1.00005

.001 1.0005

heh

h

So it appears that .

0

1lim 1

h

h

e

h

Page 45: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Geometrically, this means that, of all the

possible exponential functions y = ax, the

function f(x) = ex is the one whose tangent line

at (0, 1) has a slope f’(0) that is exactly 1.

EXPONENTIAL FUNCTIONS

Page 46: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

The derivative of the natural exponential

function is:

( )

( ) (ln )

x x

x x

de e

dx

da a a

dx

DERIV. OF NATURAL EXPONENTIAL FUNCTION

Page 47: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

Thus, the exponential function f(x) = ex

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 y coordinate of the point.

EXPONENTIAL FUNCTIONS

Page 48: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

If f(x) = ex - x, find f’ .

Compare the graphs of f and f’.

EXPONENTIAL FUNCTIONS Example 8

'( ) ( )

( ) ( )

1

x

x

x

df x e x

dxd de x

dx dx

e

Page 49: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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

Page 50: 3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given

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