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Logarithmic, Exponential, and 
Other Transcendental Functions 
Copyright © Cengage Learning. All rights reserved.
Bases Other Than e and 
Applications 
Copyright © Cengage Learning. All rights reserved.
3 
Objectives 
 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.
4 
Bases Other than e
5 
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.
6 
Bases Other than e 
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.)
7 
Example 1 – Radioactive Half-Life Model 
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.
8 
Example 1 – Solution 
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 5.23. 
Figure 5.25 
cont’d
9 
Bases Other than e 
Logarithmic functions to bases other than e can be defined in 
much the same way as exponential functions to other bases 
are defined.
10 
Bases Other than e 
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.
11 
Bases Other than e 
The logarithmic function to the base 10 is called the 
common logarithmic function. So, for common 
logarithms,
12 
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
Example 2 – Solution cont’d 
13 
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 =
14 
Differentiation and Integration
15 
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 given in the next theorem.
16 
Differentiation and Integration
17 
Example 3 – Differentiating Functions to Other Bases 
Find the derivative of each function. 
a. y = 2x 
b. y = 23x 
c. y = log10 cos x 
d.
18 
Example 3 – Solution 
a. 
b. 
c. 
d. Before differentiating, rewrite the function using 
logarithmic properties.
19 
Example 3 (d) – Solution (cont) 
d. (cont) Next, apply Theorem 5.13 to differentiate the 
function.
20 
Differentiation and Integration 
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 
which follows from Theorem 5.13.
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. 
cont’d
25 
Applications of Exponential 
Functions
26 
Applications of Exponential Functions 
An amount of P dollars is deposited in an account at an 
annual interest rate r (in decimal form). 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 
for several values of x, as shown 
in the table at the right.
30 
Applications of Exponential Functions 
Given Theorem 5.15, 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
Example 6 – Comparing Continuous, Quarterly, and Monthly Compounding 
33 
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:
Example 6 – Solution cont’d 
34

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Lar calc10 ch05_sec5

  • 1. Logarithmic, Exponential, and Other Transcendental Functions Copyright © Cengage Learning. All rights reserved.
  • 2. Bases Other Than e and Applications Copyright © Cengage Learning. All rights reserved.
  • 3. 3 Objectives  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.
  • 4. 4 Bases Other than e
  • 5. 5 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.
  • 6. 6 Bases Other than e 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.)
  • 7. 7 Example 1 – Radioactive Half-Life Model 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.
  • 8. 8 Example 1 – Solution 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 5.23. Figure 5.25 cont’d
  • 9. 9 Bases Other than e Logarithmic functions to bases other than e can be defined in much the same way as exponential functions to other bases are defined.
  • 10. 10 Bases Other than e 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.
  • 11. 11 Bases Other than e The logarithmic function to the base 10 is called the common logarithmic function. So, for common logarithms,
  • 12. 12 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
  • 13. Example 2 – Solution cont’d 13 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 =
  • 14. 14 Differentiation and Integration
  • 15. 15 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 given in the next theorem.
  • 16. 16 Differentiation and Integration
  • 17. 17 Example 3 – Differentiating Functions to Other Bases Find the derivative of each function. a. y = 2x b. y = 23x c. y = log10 cos x d.
  • 18. 18 Example 3 – Solution a. b. c. d. Before differentiating, rewrite the function using logarithmic properties.
  • 19. 19 Example 3 (d) – Solution (cont) d. (cont) Next, apply Theorem 5.13 to differentiate the function.
  • 20. 20 Differentiation and Integration 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 which follows from Theorem 5.13.
  • 21. 21 Example 4 – Integrating an Exponential Function to Another Base Find ∫2xdx. Solution: ∫2xdx = + C
  • 22. 22 Differentiation and Integration
  • 23. 23 Example 5 – Comparing Variables and Constants a. [ee] = 0 b. [ex] = ex c. [xe] = exe –1
  • 24. 24 Example 5 – Comparing Variables and Constants d. cont’d
  • 25. 25 Applications of Exponential Functions
  • 26. 26 Applications of Exponential Functions An amount of P dollars is deposited in an account at an annual interest rate r (in decimal form). 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. 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. 28 Applications of Exponential Functions As n increases, the balance A approaches a limit. To develop this limit, use the following theorem.
  • 29. 29 Applications of Exponential Functions To test the reasonableness of this theorem, try evaluating for several values of x, as shown in the table at the right.
  • 30. 30 Applications of Exponential Functions Given Theorem 5.15, 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. 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. 32 Applications of Exponential Functions
  • 33. Example 6 – Comparing Continuous, Quarterly, and Monthly Compounding 33 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 34