Lecture 8 derivative rules

30
Derivatives of Polynomials and Exponent 3.1

description

MATH 138 Lecture 8(b)

Transcript of Lecture 8 derivative rules

Page 1: Lecture 8   derivative rules

Derivatives of Polynomials and Exponential Functions3.1

Page 2: Lecture 8   derivative rules

2

Derivative of a Constant Function

f (x) = c.

The graph isthe horizontal line y = c, which has slope 0, so we must have f '(x) = 0.

Figure 1

The graph of f (x) = c is the line y = c, so f (x) = 0.

Page 3: Lecture 8   derivative rules

3

Derivative of a Constant Function

Page 4: Lecture 8   derivative rules

4

Exercise – Constant Multiple RuleFind y’ if y = π

Page 5: Lecture 8   derivative rules

5

Power Rule

Page 6: Lecture 8   derivative rules

6

Example 1 – Using the Power Rule

(a) If f (x) = x6, then f (x) = 6x5.

(b) If y = x1000, then y = 1000x999.

(c) If y = t

4, then = 4t

3.

(d) = 3r

2

Page 7: Lecture 8   derivative rules

7

Exercises – Power Rule

Page 8: Lecture 8   derivative rules

8

Constant Multiple Rule

Page 9: Lecture 8   derivative rules

9

Example 4 – Using the Constant Multiple Rule

Page 10: Lecture 8   derivative rules

10

Sum Rule

Page 11: Lecture 8   derivative rules

11

Difference RuleBy writing f – g as f + (–1)g and applying the Sum Rule and the Constant Multiple Rule, we get the following formula.

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.

Page 12: Lecture 8   derivative rules

12

Derivatives of Polynomials

Page 13: Lecture 8   derivative rules

13

Derivatives of Polynomials-Exercise

Page 14: Lecture 8   derivative rules

14

Exponential Functions

Page 15: Lecture 8   derivative rules

15

Example 8

If f (x) = ex – x, find f .

Solution:

Using the Difference Rule, we have

Page 16: Lecture 8   derivative rules

16

Derivative of Exponential - Exercise

Page 17: Lecture 8   derivative rules

17

Higher Derivatives

Page 18: Lecture 8   derivative rules

18

Second derivative of f is the derivative of the derivative of f

(f ′)′ = f ′′.

Using Leibniz notation, we write the second derivative of

y = f (x) as

Higher Derivatives

Page 19: Lecture 8   derivative rules

19

If f (x) = x3 – x, find f ′′(x).

Solution:

Example 7

Page 20: Lecture 8   derivative rules

20

The instantaneous rate of change of velocity with respect to time is called the acceleration a(t) of the object. Thus the acceleration function is the derivative of the velocity functionand is therefore the second derivative of the position function:

a(t) = v ′(t) = s ′′(t)

or, in Leibniz notation,

Higher Derivatives - Acceleration

Page 21: Lecture 8   derivative rules

21

The process can be continued. The fourth derivative f ′′′′ is

usually denoted by f (4).

In general, the nth derivative of f is denoted by f (n) and is

obtained from f by differentiating n times.

If y = f (x), we write

Higher Derivatives

Page 22: Lecture 8   derivative rules

22

Higher Derivatives - Exercises

Page 23: Lecture 8   derivative rules

23

The Product and Quotient Rules3.2

Page 24: Lecture 8   derivative rules

24

The Product Rule

In words, the Product Rule says that the derivative of a product of two functions is the first function times the derivative of the second function plus the second function times the derivative of the first function.

Page 25: Lecture 8   derivative rules

25

Example 1 – Using the Product Rule(a) If f (x) = xex, find f (x).

Solution:

(a) By the Product Rule, we have

Page 26: Lecture 8   derivative rules

26

Product Rule - Exercises

Page 27: Lecture 8   derivative rules

27

The Quotient Rule

In words, the Quotient Rule says that the derivative of a

quotient is the denominator times the derivative of the

numerator minus the numerator times the derivative of the

denominator, all divided by the square of the denominator.

Page 28: Lecture 8   derivative rules

28

Example 5 – Using the Quotient Rule

Let

Then

Page 29: Lecture 8   derivative rules

29

Quotient Rule - Exercises

Page 30: Lecture 8   derivative rules

30

Summary of Rules

Table of Differentiation Formulas