So far, we have learned how to differentiate a variety of functions, including trigonometric, inverse, and implicit functions. In this section, we explore derivatives of exponential and logarithmic functions. As we discussed in Introduction to Functions and Graphs, exponential functions play an important role in modeling population growth and the decay of radioactive materials. Logarithmic functions can help rescale large quantities and are particularly helpful for rewriting complicated expressions.
Just as when we found the derivatives of other functions, we can find the derivatives of exponential and logarithmic functions using formulas. As we develop these formulas, we need to make certain basic assumptions. The proofs that these assumptions hold are beyond the scope of this course.
First of all, we begin with the assumption that the function
is defined for every real number and is continuous. In previous courses, the values of exponential functions for all rational numbers were defined—beginning with the definition of
where
is a positive integer—as the product of
multiplied by itself
times. Later, we defined
for a positive integer
and
for positive integers
and
These definitions leave open the question of the value of
where
is an arbitrary real number. By assuming the continuity of
we may interpret
as
where the values of
as we take the limit are rational. For example, we may view
as the number satisfying
As we see in the following table,
64 | 77.8802710486 | ||
73.5166947198 | 77.8810268071 | ||
77.7084726013 | 77.9242251944 | ||
77.8162741237 | 78.7932424541 | ||
77.8702309526 | 84.4485062895 | ||
77.8799471543 | 256 |
We also assume that for
the value
of the derivative exists. In this section, we show that by making this one additional assumption, it is possible to prove that the function
is differentiable everywhere.
We make one final assumption: that there is a unique value of
for which
We define
to be this unique value, as we did in Introduction to Functions and Graphs. [link] provides graphs of the functions
and
A visual estimate of the slopes of the tangent lines to these functions at 0 provides evidence that the value of e lies somewhere between 2.7 and 2.8. The function
is called the natural exponential function. Its inverse,
is called the natural logarithmic function.
For a better estimate of
we may construct a table of estimates of
for functions of the form
Before doing this, recall that
for values of
very close to zero. For our estimates, we choose
and
to obtain the estimate
See the following table.
The evidence from the table suggests that
The graph of
together with the line
are shown in [link]. This line is tangent to the graph of
at
Now that we have laid out our basic assumptions, we begin our investigation by exploring the derivative of
Recall that we have assumed that
exists. By applying the limit definition to the derivative we conclude that
Turning to
we obtain the following.
We see that on the basis of the assumption that
is differentiable at
is not only differentiable everywhere, but its derivative is
For
Thus, we have
(The value of
for an arbitrary function of the form
will be derived later.)
Let
be the natural exponential function. Then
In general,
Find the derivative of
Using the derivative formula and the chain rule,
Find the derivative of
Use the derivative of the natural exponential function, the quotient rule, and the chain rule.
Find the derivative of
Don’t forget to use the product rule.
A colony of mosquitoes has an initial population of 1000. After
days, the population is given by
Show that the ratio of the rate of change of the population,
to the population,
is constant.
First find
By using the chain rule, we have
Thus, the ratio of the rate of change of the population to the population is given by
The ratio of the rate of change of the population to the population is the constant 0.3.
If
describes the mosquito population after
days, as in the preceding example, what is the rate of change of
after 4 days?
996
Find
Now that we have the derivative of the natural exponential function, we can use implicit differentiation to find the derivative of its inverse, the natural logarithmic function.
If
and
then
More generally, let
be a differentiable function. For all values of
for which
the derivative of
is given by
If
and
then
Differentiating both sides of this equation results in the equation
Solving for
yields
Finally, we substitute
to obtain
We may also derive this result by applying the inverse function theorem, as follows. Since
is the inverse of
by applying the inverse function theorem we have
Using this result and applying the chain rule to
yields
□
The graph of
and its derivative
are shown in [link].
Find the derivative of
Use [link] directly.
Find the derivative of
At first glance, taking this derivative appears rather complicated. However, by using the properties of logarithms prior to finding the derivative, we can make the problem much simpler.
Differentiate:
Use a property of logarithms to simplify before taking the derivative.
Now that we can differentiate the natural logarithmic function, we can use this result to find the derivatives of
and
for
Let
and let
be a differentiable function.
then
More generally, if
then for all values of x for which
then
More generally, if
then
If
then
It follows that
Thus
Solving for
we have
Differentiating and keeping in mind that
is a constant, we see that
The derivative in [link] now follows from the chain rule.
If
then
Using implicit differentiation, again keeping in mind that
is constant, it follows that
Solving for
and substituting
we see that
The more general derivative ([link]) follows from the chain rule.
□
Find the derivative of
Use the quotient rule and [link].
Find the slope of the line tangent to the graph of
at
To find the slope, we must evaluate
at
Using [link], we see that
By evaluating the derivative at
we see that the tangent line has slope
Find the slope for the line tangent to
at
Evaluate the derivative at
At this point, we can take derivatives of functions of the form
for certain values of
as well as functions of the form
where
and
Unfortunately, we still do not know the derivatives of functions such as
or
These functions require a technique called logarithmic differentiation, which allows us to differentiate any function of the form
It can also be used to convert a very complex differentiation problem into a simpler one, such as finding the derivative of
We outline this technique in the following problem-solving strategy.
using logarithmic differentiation, take the natural logarithm of both sides of the equation to obtain
as much as possible.
to solve for
by
Find the derivative of
Use logarithmic differentiation to find this derivative.
Find the derivative of
This problem really makes use of the properties of logarithms and the differentiation rules given in this chapter.
Find the derivative of
where
is an arbitrary real number.
The process is the same as in [link], though with fewer complications.
Use logarithmic differentiation to find the derivative of
Follow the problem solving strategy.
is continuous everywhere and differentiable at 0, this function is differentiable everywhere and there is a formula for its derivative.
and the relationship
allows us to extend our differentiation formulas to include logarithms with arbitrary bases.
or very complex functions by taking the natural logarithm of both sides and exploiting the properties of logarithms before differentiating.
For the following exercises, find
for each function.
For the following exercises, use logarithmic differentiation to find
[T] Find an equation of the tangent line to the graph of
at the point where
Graph both the function and the tangent line.
[T] Find the equation of the line that is normal to the graph of
at the point where
Graph both the function and the normal line.
[T] Find the equation of the tangent line to the graph of
at the point where
(Hint: Use implicit differentiation to find
Graph both the curve and the tangent line.
Consider the function
for
and those where
a.
b.
The formula
is the formula for a decaying alternating current.
{: valign=”top”} | ———- |
0 | (i) |
{: valign=”top”} |
(ii) | |
{: valign=”top”} |
(iii) | |
{: valign=”top”} |
(iv) | |
{: valign=”top”} |
(v) | |
{: valign=”top”} |
(vi) | |
{: valign=”top”} |
(vii) | |
{: valign=”top”} |
(viii) | |
{: valign=”top”} |
| (ix) | {: valign=”top”}{: .unnumbered summary=”This table has two columns and 10 rows. The first column reads t, 0, π/2, π, 3π/2, 2π, 5π/2, 3π, 7π/2, and 4π. The second column reads (sin t)/et, (i), (ii), (iii), (iv), (v), (vi), (vii), (viii), and (ix).” data-label=””}
is horizontal.
[T] The population of Toledo, Ohio, in 2000 was approximately 500,000. Assume the population is increasing at a rate of 5% per year.
years.
a.
individuals b.
individuals per year c.
individuals per year
[T] An isotope of the element erbium has a half-life of approximately 12 hours. Initially there are 9 grams of the isotope present.
measured in hours.
hours.
hours.
[T] The number of cases of influenza in New York City from the beginning of 1960 to the beginning of 1961 is modeled by the function
where
gives the number of cases (in thousands) and t is measured in years, with
corresponding to the beginning of 1960.
and
Briefly describe what these values indicate about the disease in New York City.
and
Briefly describe what these values indicate about the disease in the United States.
a. At the beginning of 1960 there were 5.3 thousand cases of the disease in New York City. At the beginning of 1963 there were approximately 723 cases of the disease in the United States. b. At the beginning of 1960 the number of cases of the disease was decreasing at rate of
thousand per year; at the beginning of 1963, the number of cases of the disease was decreasing at a rate of
thousand per year.
[T] The relative rate of change of a differentiable function
is given by
One model for population growth is a Gompertz growth function, given by
where
and
are constants.
months when
and
For the following exercises, use the population of New York City from 1790 to 1860, given in the following table.
Years since 1790 | Population |
---|---|
0 | 33,131 |
10 | 60,515 |
20 | 96,373 |
30 | 123,706 |
40 | 202,300 |
50 | 312,710 |
60 | 515,547 |
70 | 813,669 |
[T] Using a computer program or a calculator, fit a growth curve to the data of the form
[T] Using the exponential best fit for the data, write a table containing the derivatives evaluated at each year.
[T] Using the exponential best fit for the data, write a table containing the second derivatives evaluated at each year.
Years since 1790 |
| {: valign=”top”}|———- | 0 | 69.25 | {: valign=”top”}| 10 | 107.5 | {: valign=”top”}| 20 | 167.0 | {: valign=”top”}| 30 | 259.4 | {: valign=”top”}| 40 | 402.8 | {: valign=”top”}| 50 | 625.5 | {: valign=”top”}| 60 | 971.4 | {: valign=”top”}| 70 | 1508.5 | {: valign=”top”}{: .unnumbered summary=”This table has nine rows and two columns. The first row is a header row and it labels each column. The first column header is Years since 1790 and the second column is P’’. Under the first column are the values 0, 10, 20, 30, 40, 50, 60, and 70. Under the second column are the values 69.25, 107.5, 167.0, 259.4, 402.8, 625.5, 971.4, and 1508.5.” data-label=””}
[T] Using the tables of first and second derivatives and the best fit, answer the following questions:
True or False? Justify the answer with a proof or a counterexample.
Every function has a derivative.
False.
A continuous function has a continuous derivative.
A continuous function has a derivative.
False
If a function is differentiable, it is continuous.
Use the limit definition of the derivative to exactly evaluate the derivative.
Find the derivatives of the following functions.
Find the following derivatives of various orders.
First derivative of
Third derivative of
Second derivative of
Find the equation of the tangent line to the following equations at the specified point.
at
at
Draw the derivative for the following graphs.
The following questions concern the water level in Ocean City, New Jersey, in January, which can be approximated by
where t is measured in hours after midnight, and the height is measured in feet.
Find and graph the derivative. What is the physical meaning?
Find
What is the physical meaning of this value?
At 3 a.m. the tide is decreasing at a rate of 1.514 ft/hr.
The following questions consider the wind speeds of Hurricane Katrina, which affected New Orleans, Louisiana, in August 2005. The data are displayed in a table.
Hours after Midnight, August 26 | Wind Speed (mph) |
---|---|
1 | 45 |
5 | 75 |
11 | 100 |
29 | 115 |
49 | 145 |
58 | 175 |
73 | 155 |
81 | 125 |
85 | 95 |
107 | 35 |
Using the table, estimate the derivative of the wind speed at hour 39. What is the physical meaning?
Estimate the derivative of the wind speed at hour 83. What is the physical meaning?
The wind speed is decreasing at a rate of 7.5 mph/hr
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