Logarithmic, Exponential, and Other Transcendental...

Post on 08-Mar-2021

1 views 0 download

Transcript of Logarithmic, Exponential, and Other Transcendental...

Logarithmic, Exponential, and

Other Transcendental Functions 5

Copyright © Cengage Learning. All rights reserved.

Bases Other Than e and

Applications

Copyright © Cengage Learning. All rights reserved.

5.5

3

Define exponential functions that have bases

other than e.

Differentiate and integrate exponential

functions that have bases other than e.

Use exponential functions to model

compound interest and exponential growth.

Objectives

4

Bases Other than e

5

These functions obey the usual laws of exponents. For

instance, here are some familiar properties.

1. a0 = 1 2. axay = ax + y

3. 4. (ax)y = axy

When modeling the half-life of a radioactive sample, it is

convenient to use as the base of the exponential model.

(Half-life is the number of years required for half of the

atoms in a sample of radioactive material to decay.)

Bases Other than e

6

The half-life of carbon-14 is about 5715 years. A sample

contains 1 gram of carbon-14. How much will be present in

10,000 years?

Solution:

Let t = 0 represent the present time and let y represent the

amount (in grams) of carbon-14 in the sample.

Using a base of , you can model y by the equation

Notice that when t = 5715, the amount is reduced to half of

the original amount.

Example 1 – Radioactive Half-Life Model

7

When t = 11,430, the amount is reduced to a quarter of the

original amount, and so on.

To find the amount of carbon-14 after 10,000 years,

substitute 10,000 for t.

≈ 0.30 gram

The graph of y is shown in

Figure 5.25.

Example 1 – Solution

Figure 5.25

cont’d

8

Logarithmic functions to the base a have properties similar

to those of the natural logarithmic function.

1. loga 1 = 0

2. loga xy = loga x + loga y

3. loga xn = n loga x

4. loga = loga x – loga y

From the definitions of the exponential and logarithmic

functions to the base a, it follows that f(x) = ax and

g(x) = loga x are inverse functions of each other.

Bases Other than e

9

The logarithmic function to the base 10 is called the

common logarithmic function. So, for common

logarithms, y = 10x if and only if x = log10 y.

Bases Other than e

10

Example 2 – Bases Other Than e

Solve for x in each equation.

a. 3x = b. log2x = –4

Solution:

a. To solve this equation, you can apply the logarithmic function to the base 3 to each side of the equation.

x = log3 3–4

x = –4

11

b. To solve this equation, you can apply the exponential

function to the base 2 to each side of the equation.

log2x = –4

x =

x =

Example 2 – Solution cont’d

12

Differentiation and Integration

13

Differentiation and Integration

To differentiate exponential and logarithmic functions to

other bases, you have three options:

(1) use the definitions of ax and loga x and differentiate

using the rules for the natural exponential and

logarithmic functions,

(2) use logarithmic differentiation, or

(3) use the following differentiation rules for bases other

than e.

14

Simplify:

a)

b)

c)

d)

e)

15

Bases Other than e

The base of the natural exponential function is e. This

“natural” base can be used to assign a meaning to a

general base a.

16

Bases Other than e

17

Differentiation and Integration

18

Example 3 – Differentiating Functions to Other Bases

Find the derivative of each function.

a. y = 2x

b. y = 23x

c. y = log10 cos x

19

Try writing 23x as 8x and differentiating to see that you

obtain the same result.

Example 3 – Solution

20

Occasionally, an integrand involves an exponential function

to a base other than e. When this occurs, there are two

options:

(1) convert to base e using the formula ax = e(In a)x and then

integrate, or

(2) integrate directly, using the integration formula

Differentiation and Integration

21

Example 4 – Integrating an Exponential Function to Another Base

Find ∫2xdx.

Solution:

∫2xdx = + C

22

Differentiation and Integration

23

Example 5 – Comparing Variables and Constants

a. [ee] = 0

b. [ex] = ex

c. [xe] = exe –1

24

Example 5 – Comparing Variables and Constants

d. y = xx

In y = In xx

In y = x In x

cont’d

25

Applications of Exponential

Functions

26

Applications of Exponential Functions

Suppose P dollars is deposited in an account at an annual

interest rate r (in decimal form). If interest accumulates in

the account, what is the balance in the account at the end

of 1 year? The answer depends on the number of times n

the interest is compounded according to the formula

A = P

27

Applications of Exponential Functions

For instance, the result for a deposit of $1000 at 8%

interest compounded n times a year is shown in the table.

28

Applications of Exponential Functions

As n increases, the balance A approaches a limit. To

develop this limit, use the following theorem.

29

Applications of Exponential Functions

To test the reasonableness of this theorem, try evaluating

[(x + 1)/x]x for several values of x, as shown in the table.

30

Applications of Exponential Functions

Now, let’s take another look at the formula for the balance

A in an account in which the interest is compounded

n times per year. By taking the limit as n approaches

infinity, you obtain

31

Applications of Exponential Functions

This limit produces the balance after 1 year of continuous

compounding. So, for a deposit of $1000 at 8% interest

compounded continuously, the balance at the end of 1 year

would be

A = 1000e0.08

≈ $1083.29.

32

Applications of Exponential Functions

33

Example 6 – Comparing Continuous, Quarterly, and Monthly Compounding

A deposit of $2500 is made in an account that pays an

annual interest rate of 5%. Find the balance in the account

at the end of 5 years if the interest is compounded

(a) quarterly, (b) monthly, and (c) continuously.

Solution:

34

Example 6 – Solution

cont’d

35

Example 6 – Solution

Figure 5.26 shows how the balance increases over the five-

year period. Notice that the scale used in the figure does

not graphically distinguish among the three types of

exponential growth in (a), (b), and (c).

Figure 5.26

cont’d