5.2 Properties and Graphs of Exponential Functions
Of all of the functions we study in this text, exponential functions are possibly the ones which impact everyday life the most. This section introduces us to these functions while the rest of the chapter will more thoroughly explore their properties.
Up to this point, we have dealt with functions which involve terms like ,
, or
– in other words, terms of the form
where the base of the term,
, varies but the exponent of each term,
, remains constant.
In this chapter, we study functions of the form where the base
is a constant and the exponent
is the variable. We start our exploration of these functions with the time-honored classic,
.
We make a table of function values, plot enough points until we are more or less confident with the shape of the curve, and connect the dots in a pleasing fashion.

A few remarks about the graph of are in order. As
and takes on values like
or
, the function
takes on values like
or
In other words, as ,
That is, as ,
. This produces the
-axis,
as a horizontal asymptote to the graph as
On the flip side, as , we find
,
, and so on, thus
We note that by `connecting the dots in a pleasing fashion,’ we are implicitly using the fact that is not only defined for all real numbers,[1] but is also continuous. Moreover, we are assuming
is increasing: that is, if
, then
. While these facts are true, the proofs of these properties are best left to Calculus. For us, we assume these properties in order to state the domain of
is
, the range of
is
and,
is increasing, do
is one-to-one, hence invertible.
Suppose we wish to study the family of functions . Which bases
make sense to study? We find that we run into difficulty if
. For example, if
, then the function
has trouble, for instance, at
because
is not a real number. In general, if
is any rational number with an even denominator,[2] then
is not defined, so we must restrict our attention to bases
.
What about ? The function
is undefined for
because we cannot divide by
and
is an indeterminant form. For
,
so the function
is the same as the function
,
. As we know everything about this function, we ignore this case.
The only other base we exclude is , because the function
for all real numbers
. We are now ready for our definition of exponential functions.
Definition 5.3
An exponential function is the function of the form
where is a real number,
,
. The domain of an exponential function
.
NOTE: More specifically, is called the `base
exponential function.’
We leave it to the reader to verify[3] that if , then the exponential function
will share the same basic shape and characteristics as
What if ? Consider
. We could certainly build a table of values and connect the points, or we could take a step back and note that
where . Per Section 1.6, the graph of
is obtained from the graph of
by reflecting it across the
-axis.

We see that the domain and range of match that of
, namely
and
, respectively. Like
,
is also one-to-one. Whereas
is always increasing,
is always decreasing. As a result, as
,
, and on the flip side, as
,
. It shouldn’t be too surprising that for all choices of the base
, the graph of
behaves similarly to the graph of
We summarize the basic properties of exponential functions in the following theorem.
Theorem 5.3 Properties of Exponential Functions
Suppose .
- The domain of
is
and the range of
is
.
is on the graph of
and
is a horizontal asymptote to the graph of
.
is one-to-one, continuous and smooth[4]
- If
:
is always increasing
- As
,
- As
,
- The graph of
resembles:
- If
:
is always decreasing
- As
,
- As
,
- The graph of
resembles:
Exponential functions also inherit the basic properties of exponents from Theorem 4.3. We formalize these below and use them as needed in the coming examples.
Theorem 5.4 Algebraic Properties of Exponential Functions
Let be an exponential function (
,
) and let
and
be real numbers.
- Product Rule:
- Quotient Rule:
- Power Rule:
In addition to base which is important to computer scientists,[5] two other bases are used more often than not in scientific and economic circles. The first is base 10. Base 10 is called the `common base‘ and is important in the study of intensity (sound intensity, earthquake intensity, acidity, etc.)
The second base is an irrational number, . Like
or
, the decimal expansion of
neither terminates nor repeats, so we represent this number by the letter `
.’ A decimal approximation of
is
, so the function
is an increasing exponential function.
The number is called the `natural base‘ for lots of reasons, one of which is that it `naturally’ arises in the study of growth functions in Calculus. We will more formally discuss the origins of
in Section 5.7.
It is time for an example.
Example 5.2.1
Example 5.2.1.1a
Graph the following functions by starting with a basic exponential function and using transformations, Theorem 1.12. Track at least three points and the horizontal asymptote through the transformations.
Solution:
Graph .
The base of the exponent in is
, so we start with the graph of
.
To use Theorem 1.12, we first need to choose some `control points’ on the graph of . Because we are instructed to track three points (and the horizontal asymptote,
) through the transformations, we choose the points corresponding to
,
, and
:
,
, and
, respectively.
Next, we need determine how to modify to obtain
. The key is to recognize the argument, or `inside’ of the function is the exponent and the `outside’ is anything outside the base of
. Using these principles as a guide, we find
.
Per Theorem 1.12, we first add to the
-coordinates of the points on the graph of
, shifting the graph to the right
unit. Next, multiply the
-coordinates of each point on this new graph by
, vertically stretching the graph by a factor of
.
Looking point by point, we have ,
, and
.
The horizontal asymptote, remains unchanged under the horizontal shift and the vertical stretch because
.
Below we graph on the left
on the right.
As always we can check our answer by verifying each of the points ,
,
is on the graph of
by checking
,
, and
.
We can check the end behavior as well, that is, as ,
and as
,
. We leave these calculations to the reader.
Example 5.2.1.1b
Graph the following functions by starting with a basic exponential function and using transformations, Theorem 1.12. Track at least three points and the horizontal asymptote through the transformations.
Solution:
Graph .
The base of the exponential in is
, so we start with the graph of
.
Note that as is an irrational number, we will use the approximation
when plotting points. However, when it comes to tracking and labeling said points, we do so with exact coordinates, that is, in terms of
We choose points corresponding to ,
, and
:
,
, and
, respectively.
Next, we need to determine how the formula for can be obtained from the formula
. Rewriting
, we find
Following Theorem 1.12, we first multiply the -coordinates of the graph of
by
, effecting a reflection across the
-axis. Next, we multiply each of the
-coordinates by
which reflects the graph about the
-axis. Finally, we add
to each of the
-coordinates of the graph from the second step which shifts the graph up
units.
Tracking points, we have ,
, and
The horizontal asymptote is unchanged by the reflections, but is shifted up units
We graph below on the left and the transformed function
below on the right. As usual, we can check our answer by verifying the indicated points do, in fact, lie on the graph of
along with checking end behavior. We leave these details to the reader.
Example 5.2.1.2
Write a formula for the graph of the function below. Assume the base of the exponential is .
Solution:
Write a formula for the graph of the function above. Assume the base of the exponential is .
We are told to assume the base of the exponential function is , thus we assume the function
is the result of the transforming the graph of
using Theorem 1.12. This means we are tasked with finding values for
,
,
, and
so that
Because the horizontal asymptote to the graph of is
and the horizontal asymptote to the graph
is
, we know the vertical shift is
units up, so
.
Next, looking at how the graph of approaches the vertical asymptote, it stands to reason the graph of
undergoes a reflection across
-axis, meaning
. For simplicity, we assume
and see if we can find values for
and
that go along with this choice.
Because and
on the graph of
, we know
and
. From
, we have
or
. Hence,
is one solution.[6]
Next, using , we get
or
. From this, we have
so
. Putting this together with
, we get
so
.
Hence, one solution to the problem is .
To check our answer, we leave it to the reader verify ,
, as
,
and as
,
.
Because we made a simplifying assumption (), we may well wonder if our solution is the only solution. Indeed, we started with what amounts to three pieces of information and set out to determine the value of four constants. We leave this for a thoughtful discussion in Exercise 14.
Our next example showcases an important application of exponential functions: economic depreciation.
Example 5.2.2
Example 5.2.2.1
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
Calculate and interpret ,
, and
.
Solution:
Calculate and interpret ,
, and
.
We find ,
and
.
represents the number of years the car has been owned, so
corresponds to the purchase price of the car.
returns the value of the car in thousands of dollars, so
means the car is worth 25,000 dollars when first purchased. Likewise,
and
means the car is worth 20, 000 dollars after one year of ownership and 16,000 dollars after two years, respectively.
Example 5.2.2.2
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
Compute and interpret the average rate of change of over the intervals
and
and
.
Solution:
Compute and interpret the average rate of change of over the intervals
and
and
.
Recall to find the average rate of change of over an interval
, we compute:
.
For the interval , we find
which means over the course of the first year of ownership, the value of the car depreciated, on average, at a rate of 5000 dollars per year.
For the interval , we compute
which means over the course of the first two years of ownership, the car lost, on average, 4500 dollars per year in value.
Finally, we find for the interval ,
meaning the car lost, on average, 4000 dollars in value per year between the first and second years.
Notice that the car lost more value over the first year (5000 dollars) than it did the second year (4000 dollars), and these losses average out to the average yearly loss over the first two years (4500 dollars per year.)[7]
Example 5.2.2.3
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
Determine and interpret ,
and
.
Solution:
Determine and interpret ,
and
.
We compute: ,
, and
.
The ratio can be rewritten as
which means that the value of the car after
year,
is
times, or
the initial value of the car,
.
Similarly, the ratio rewritten as
means the value of the car after 2 years,
is
times, or
the value of the car after one year,
.
Finally, the ratio , or
means the value of the car after 2 years,
is
times, or
of the initial value of the car,
.
Note that this last result tracks with the previous answers. Because and
, we get
Also note it is no coincidence that the base of the exponential, has shown up in these calculations, as we’ll see in the next problem.
Example 5.2.2.4
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
For , find and interpret
and
.
Solution:
For , find and interpret
and
.
Using properties of exponents, we find
Rewriting, we have . This means after one year, the value of the car
is only
of the value it was a year ago,
.
Similarly, we find
which, rewritten, says . This means in
years’ time, the value of the car
is only
times what it was worth
years ago,
.
These results shouldn’t be too surprising. Verbally, the function says to multiply
by
multiplied by itself
times. Therefore, for each additional year, we are multiplying the value of the car by an additional factor of
.
Example 5.2.2.5
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
Compute and interpret ,
, and
.
Solution:
Compute and interpret ,
, and
.
We compute
and
The ratio computes the ratio of difference in the value of the car after the first year of ownership,
, to the initial value,
. We find this to be
or a
decrease in value. This makes sense as we know from our answer to number 3, the value of the car after
year,
is
of the initial value,
. Indeed:
and because , we get
Likewise, the ratio means the value of the car has lost
of its value over the course of the second year of ownership.
Finally, the ratio means that over the first two years of ownership, the car value has depreciated
of its initial purchase price. Again, this tracks with the result of number 3 which tells us that after two years, the car is only worth
of its initial purchase price.
Example 5.2.2.6
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
For , find and interpret
and
.
Solution:
For , find and interpret
and
.
Using properties of fractions and exponents, we get:
so after one year, the value of the car has lost
of the value it was a year ago,
.
Similarly, we find:
so after years’ time, the value of the car
has decreased by
of the value
years ago,
.
Example 5.2.2.7
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
Graph starting with the graph of
and using transformations.
Solution:
Graph starting with the graph of
and using transformations.
To graph , we start with the basic exponential function
.
The base satisfies
, therefore the graph of
is decreasing.
We plot the -intercept
and two other points,
and
, and label the horizontal asymptote
.
To obtain the graph of , we multiply all of the
values in the graph by
(including the
value of the horizontal asymptote) in accordance with Theorem 1.10 to obtain the points
,
and
. The horizontal asymptote remains the same, (
.) Finally, we restrict the domain to
to fit with the applied domain given to us.
Example 5.2.2.8
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
Interpret the horizontal asymptote of the graph of .
Solution:
Interpret the horizontal asymptote of the graph of .
We see from the graph of that its horizontal asymptote is
. This means as the car gets older, its value diminishes to
.
Example 5.2.2.9
The value of a car can be modeled by , where
is number of years the car is owned and
is the value in thousands of dollars.
Using technology and your graph, determine how long it takes for the car to depreciate to (a) one half its original value and (b) one quarter of its original value. Round your answers to the nearest hundredth.
Solution:
Using technology and your graph, determine how long it takes for the car to depreciate to (a) one half its original value and (b) one quarter of its original value. Round your answers to the nearest hundredth.
We know the value of the car, brand new, is 25,000 dollars so when we are asked to find when the car depreciates to one half and one quarter of this value, we are trying to find when the value of the car dips to 12,500 dollars and 6,125 dollars, respectively. is measured in thousands of dollars, so we this translates to solving the equations
and
.
Because we have yet to develop any analytic means to solve equations like (remember
is in the exponent here), we are forced to approximate solutions to this equation numerically or use a graphing utility. Choosing the latter, we graph
along with the lines
and
and look for intersection points.
We find and
intersect at (approximately)
which means the car depreciates to half its initial value in (approximately) 3.11 years. Similarly, we find the car depreciates to one-quarter its initial value after (approximately)
years.[8]
Some remarks about Example 5.2.2 are in order. First the function in the previous example is called a `decay curve’. Increasing exponential functions are used to model `growth curves’ and we shall see several different examples of those in Section 5.7.
Second, as seen in numbers 3 and 4, . That is to say, the function
has a constant unit multiplier, in this case,
because to obtain the function value
, we multiply the function value
by
. It is not coincidence that the multiplier here is the base of the exponential,
.
Indeed, exponential functions of the form have a constant unit multiplier,
. To see this, note
Hence . This will prove useful to us in Section 5.7 when making decisions about whether or not a data set represents exponential growth or decay.
We close this section with another important application of exponential functions, Newton’s Law of Cooling.
Example 5.2.3
Example 5.2.3.1
According to Newton’s Law of Cooling[9] the temperature of coffee (in degrees Fahrenheit)
minutes after it is served can be modeled by
.
Compute and interpret .
Solution:
Compute and interpret .
, thus the temperature of the coffee when it is served is
F.
Example 5.2.3.2
According to Newton’s Law of Cooling[10] the temperature of coffee (in degrees Fahrenheit)
minutes after it is served can be modeled by
.
Sketch the graph of using transformations.
Solution:
Sketch the graph of using transformations.
To graph using transformations, we start with the basic function,
. As in Example 5.2.1, we track the points
,
, and
, along with the horizontal asymptote
through each of transformations.
To use Theorem 1.12, we rewrite
Following Theorem 1.12, we first divide the -coordinates of each point on the graph of
by
which results in a horizontal expansion by a factor of
as well as a reflection about the
-axis.
Next, we multiply the -values of the points on this new graph by
which effects a vertical stretch by a factor of
. Last but not least, we add
to all of the
-coordinates of the points on this second graph, which shifts the graph upwards
units.
Tracking points, we have ,
, and
. The horizontal asymptote
is unaffected by the horizontal expansion, reflection about the
-axis, and the vertical stretch, but the vertical shift moves the horizontal asymptote up
units,
. After restricting the domain to
, we get the graph on the right.
Example 5.2.3.3
According to Newton’s Law of Cooling[11] the temperature of coffee (in degrees Fahrenheit)
minutes after it is served can be modeled by
.
Determine and interpret the behavior of as
.
Solution:
Determine and interpret the behavior of as
.
We can determine the behavior of as
two ways. First, we can employ the `number sense’ developed in Chapter 3.
That is, as , we get
. As
,
. The larger
becomes, the smaller
becomes, so the term
.
Hence, .
Alternatively, we can look to the graph of . We know the horizontal asymptote is
which means as
,
.
In either case, we find that as time goes by, the temperature of the coffee is cooling to Fahrenheit, ostensibly room temperature.
5.2.1 Section Exercises
In Exercises 1 – 8, sketch the graph of by starting with the graph of
and using transformations. Track at least three points of your choice and the horizontal asymptote through the transformations. State the domain and range of
.
and
and
and
and
and
and
and
and
In Exercises, 9 – 12, the graph of an exponential function is given. Find a formula for the function in the form .
- Points:
,
,
, Asymptote:
- Points:
,
,
, Asymptote:
- Points:
,
,
, Asymptote:
- Points:
,
,
, Asymptote:
- Find a formula for each graph in Exercises 9 – 12 of the form
. Did you change your solution methodology? What is the relationship between your answers for
and
for each graph?
- In Example 5.2.1 number 2, we obtained the solution
as one formula for the given graph by making a simplifying assumption that
. This exercises explores if there are any other solutions for different choices of
.
- Show
also fits the data for the given graph, and use properties of exponents to show
. (Use the fact that
)
- With help from your classmates, find solutions to Example 5.2.1 number 2 using
,
and
. Show all your solutions can be rewritten as:
.
- Using properties of exponents and the fact that the range of
is
, show that any function of the form
for
can be rewritten as
. Relabeling, this means every function of the form
with four parameters (
,
,
, and
) can be rewritten as
, a formula with just three parameters:
,
, and
. Conclude that every solution to Example 5.2.1 number 2 reduces to
.
- Show
In Exercises 15 – 20, write the given function as a nontrivial decomposition of functions as directed.
- For
, find functions
and
so that
- For
, find functions
and
so that
- For
, find functions
and
so that
- For
, find functions
and
so
- For
, find functions
and
so that
- For
, find functions
and
so
- Show that the average rate of change of a function over the interval
is average of the average rates of change of the function over the intervals
and
. Can the same be said for the average rate of change of the function over
and the average of the average rates of change over
,
, and
? Generalize.
- Which is larger:
or
? How do you know? Can you find a proof that doesn’t use technology?
Section 5.2 Exercise Answers can be found in the Appendix … Coming soon
- See the discussion of real number exponents in Section 4.2. ↵
- or, as we defined real number exponents in Section 4.2, if
is an irrational number
↵
- Meaning, graph some more examples on your own. ↵
- Recall that this means the graph of
has no sharp turns or corners. ↵
- The digital world is comprised of bytes which take on one of two values: 0 or `off' and 1 or `on.' ↵
- This is the only solution.
, so the equation
is equivalent to the functional equation
.
is one-to-one, so we know this is true only when
. ↵
- It turns out for any function
, the average rate of change over the interval
is the average of the average rates of change of
over
and
. See Exercise 21. ↵
- It turns out that it takes exactly twice as long for the car to depreciate to one-quarter of its initial value as it takes to depreciate to half its initial value. Can you see why? ↵
- We will discuss this in greater detail in Section 5.7. ↵
- We will discuss this in greater detail in Section 5.7. ↵
- We will discuss this in greater detail in Section 5.7. ↵
A function of the form b raised to the x, where b is a positive real number, not equal to zero, and x is any real number.