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 x^3, x^{\frac{3}{2}}, or x^{\pi} – in other words, terms of the form x^{p} where the base of the term, x, varies but the exponent of each term, p, remains constant.

In this chapter, we study functions of the form f(x) = b^{x} where the base b is a constant and the exponent x is the variable. We start our exploration of these functions with the time-honored classic, f(x) = 2^{x}.

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 table and a graph side by side. The table contains eight rows and 3 columns. The first row are the titles for each column, x, f(x), and (x, f(x)). The remaining rows are the integer values from -3 to 3. The second row is -3, one eighth, and (-3,1/8). The next rows are -2, one fourth, (-2,1/4); -1, one half, (-1, 1/2); 0, 1, (0,1); 1,2,(1,2); 2, 4, (2,4); and 3, 8, (3,8). The graph is of the ordered pairs from the table connected to form the exponential function two to the x. The graph is labeled f(x) = 2^x.
Partial Table and Graph of f(x) = 2^x

 

A few remarks about the graph of f(x) = 2^{x} are in order. As x \rightarrow -\infty and takes on values like x = -100 or x=-1000, the function f(x) = 2^{x} takes on values like f(-100) = 2^{-100} = \frac{1}{2^{100}} or f(-1000) = 2^{-1000} = \frac{1}{2^{1000}}.

In other words, as x \rightarrow -\infty, 2^{x} \approx \frac{1}{\text{very big } (+)} \approx \text{very small } (+).

That is, as x \rightarrow -\infty, 2^{x} \rightarrow 0^{+}. This produces the x-axis, y = 0 as a horizontal asymptote to the graph as x \rightarrow -\infty .

On the flip side, as x \rightarrow \infty, we find f(100) = 2^{100}, f(1000) = 2^{1000}, and so on, thus 2^{x} \rightarrow \infty .

We note that by `connecting the dots in a pleasing fashion,’ we are implicitly using the fact that f(x) = 2^{x} is not only defined for all real numbers,[1] but is also continuous. Moreover, we are assuming f(x) = 2^{x} is increasing: that is, if a<b, then 2^{a} < 2^{b}. 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 f is (-\infty, \infty), the range of f is (0, \infty) and, f is increasing, do f is one-to-one, hence invertible.

Suppose we wish to study the family of functions f(x) = b^{x}. Which bases b make sense to study? We find that we run into difficulty if b < 0. For example, if b = -2, then the function f(x) = (-2)^{x} has trouble, for instance, at x = \frac{1}{2} because (-2)^{1/2} = \sqrt{-2} is not a real number. In general, if x is any rational number with an even denominator,[2] then (-2)^{x} is not defined, so we must restrict our attention to bases b \geq 0.

What about b = 0? The function f(x) = 0^{x} is undefined for x \leq 0 because we cannot divide by 0 and 0^{0} is an indeterminant form. For x > 0, 0^{x} = 0 so the function f(x) = 0^{x} is the same as the function f(x) = 0, x > 0.  As we know everything about this function, we ignore this case.

The only other base we exclude is b=1, because the function f(x) = 1^{x} = 1 for all real numbers x. We are now ready for our definition of exponential functions.

Definition 5.3

An exponential function is the function of the form

    \[ f(x) = b^{x}\]

where b is a real number, b > 0, b \neq 1. The domain of an exponential function (-\infty, \infty).

NOTE: More specifically, f(x) = b^{x} is called the `base b exponential function.’

We leave it to the reader to verify[3] that if b > 1, then the exponential function f(x) = b^{x} will share the same basic shape and characteristics as f(x) = 2^{x}.

What if 0 < b < 1? Consider g(x) = \left(\frac{1}{2}\right)^{x}. We could certainly build a table of values and connect the points, or we could take a step back and note that

    \[ \begin{array}{rcl} g(x) & = & \left(\frac{1}{2}\right)^{x} \\ & = & \left(2^{-1}\right)^{x} \\ & = & 2^{-x} \\ & = & f(-x) \end{array} \]

where f(x) = 2^{x}. Per Section 1.6, the graph of f(-x) is obtained from the graph of f(x) by reflecting it across the y-axis.

Two graphs with an arrow between them. The first graph is of y equals 2 raised to the x. The second graph is of y equals 2 raised to the negative x which is also one half raised to the x. The arrow between them has the words "reflect across y-axis" above the arrow and "multiply each x-coordinate by -1" below the arrow
Relationship between y=2^x and y =2^-x

 

We see that the domain and range of g match that of f, namely (-\infty, \infty) and (0,\infty), respectively. Like f, g is also one-to-one. Whereas f is always increasing, g is always decreasing. As a result, as x \rightarrow -\infty, g(x) \rightarrow \infty, and on the flip side, as x \rightarrow \infty, g(x) \rightarrow 0^{+}. It shouldn’t be too surprising that for all choices of the base 0 < b < 1, the graph of y=b^{x} behaves similarly to the graph of g.

We summarize the basic properties of exponential functions in the following theorem.

Theorem 5.3  Properties of Exponential Functions

Suppose f(x) = b^{x}.

  • The domain of f is (-\infty, \infty) and the range of f is (0, \infty).
  • (0,1) is on the graph of f and y=0 is a horizontal asymptote to the graph of f.
  • f is one-to-one, continuous and smooth[4]
  • If b > 1:
    • f is always increasing
    • As x \rightarrow -\infty, f(x) \rightarrow 0^{+}
    • As x \rightarrow \infty, f(x) \rightarrow \infty
    • The graph of f resembles:

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  • If 0<b<1:
    • f is always decreasing
    • As x \rightarrow -\infty, f(x) \rightarrow \infty
    • As x \rightarrow \infty, f(x) \rightarrow 0^{+}
    • The graph of f resembles:

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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 f(x) = b^{x} be an exponential function (b > 0, b\neq 1) and let u and w be real numbers.

  • Product Rule: b^{u+w} = b^{u} b^{w}
  • Quotient Rule: b^{u-w} = \dfrac{b^{u}}{b^{w}}
  • Power Rule: \left(b^{u}\right)^{w} = b^{uw}

In addition to base 2 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, e. Like \sqrt{2} or \pi, the decimal expansion of e neither terminates nor repeats, so we represent this number by the letter `e.’ A decimal approximation of e is e \approx 2.718, so the function f(x) = e^{x} is an increasing exponential function.

The number e 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 e 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.

F(x) = 2 \left( \frac{1}{3} \right)^{x-1}

Solution:

Graph F(x) = 2 \left( \frac{1}{3} \right)^{x-1}.

The base of the exponent in F(x) = 2 \left( \frac{1}{3} \right)^{x-1} is \frac{1}{3}, so we start with the graph of f(x) = \left(\frac{1}{3}\right)^{x}.

To use Theorem 1.12, we first need to choose some `control points’ on the graph of f(x) = \left(\frac{1}{3}\right)^{x}. Because we are instructed to track three points (and the horizontal asymptote, y = 0) through the transformations, we choose the points corresponding to x = -1, x = 0, and x = 1: (-1, 3), (0,1), and \left( 1, \frac{1}{3} \right), respectively.

Next, we need determine how to modify f(x) = \left(\frac{1}{3}\right)^{x} to obtain F(x) = 2 \left( \frac{1}{3} \right)^{x-1}. The key is to recognize the argument, or `inside’ of the function is the exponent and the `outside’ is anything outside the base of \frac{1}{3}. Using these principles as a guide, we find F(x) = 2 f(x-1).

Per Theorem 1.12, we first add 1 to the x-coordinates of the points on the graph of y = f(x), shifting the graph to the right 1 unit. Next, multiply the y-coordinates of each point on this new graph by 2, vertically stretching the graph by a factor of 2.

Looking point by point, we have (-1,3) \rightarrow (0, 3) \rightarrow (0,6), (0,1) \rightarrow (1,1) \rightarrow (1,2), and \left( 1, \frac{1}{3} \right) \rightarrow \left( 2, \frac{1}{3} \right) \rightarrow \left( 2, \frac{2}{3} \right).

The horizontal asymptote, y = 0 remains unchanged under the horizontal shift and the vertical stretch because 2 \cdot 0 = 0.

Below we graph y = f(x) = \left(\frac{1}{3}\right)^{x} on the left y = F(x) = 2 \left( \frac{1}{3} \right)^{x-1} on the right.

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As always we can check our answer by verifying each of the points (0,6), (1,2), \left( 2, \frac{2}{3} \right) is on the graph of F(x) = 2 \left(\frac{1}{3}\right)^{x-1} by checking F(0) = 6, F(1) = 2, and F(2) = \frac{2}{3}.

We can check the end behavior as well, that is, as x \rightarrow -\infty, F(x) \rightarrow \infty and as x \rightarrow \infty, F(x) \rightarrow 0. 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.

G(t) =2 - e^{-t}

Solution:

Graph G(t) =2 - e^{-t}.

The base of the exponential in G(t) =2 - e^{-t} is e, so we start with the graph of g(t) = e^{t}.

Note that as e is an irrational number, we will use the approximation e \approx 2.718 when plotting points. However, when it comes to tracking and labeling said points, we do so with exact coordinates, that is, in terms of e.

We choose points corresponding to t = -1, t = 0, and t = 1: (-1, e^{-1}) \approx (-1, 0.368), (0,1), and (1, e) \approx (1, 2.718), respectively.

Next, we need to determine how the formula for G(t) = 2-e^{-t} can be obtained from the formula g(t) = e^{t}. Rewriting G(t) = -e^{-t} + 2, we find G(t) = -g(-t) + 2.

Following Theorem 1.12, we first multiply the t-coordinates of the graph of y = g(t) by -1, effecting a reflection across the y-axis. Next, we multiply each of the y-coordinates by -1 which reflects the graph about the t-axis. Finally, we add 2 to each of the y-coordinates of the graph from the second step which shifts the graph up 2 units.

Tracking points, we have (-1, e^{-1}) \rightarrow (1, e^{-1}) \rightarrow (1, -e^{-1}) \rightarrow (1, -e^{-1} + 2) \approx (1, 1.632), (0,1) \rightarrow (0,1) \rightarrow (0,-1) \rightarrow (0,1), and (1, e) \rightarrow (-1,e) \rightarrow (-1,-e) \rightarrow (-1, -e+2) \approx (-1, -0.718).

The horizontal asymptote is unchanged by the reflections, but is shifted up 2 units y = 0 \rightarrow y = 2.

We graph g(t) = e^{t} below on the left and the transformed function G(t) = -e^{-t} +2 below on the right. As usual, we can check our answer by verifying the indicated points do, in fact, lie on the graph of y = G(t) along with checking end behavior. We leave these details to the reader.

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Example 5.2.1.2

Write a formula for the graph of the function below. Assume the base of the exponential is 2.

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Solution:

Write a formula for the graph of the function above. Assume the base of the exponential is 2.

We are told to assume the base of the exponential function is 2, thus we assume the function F(x) is the result of the transforming the graph of f(x) = 2^{x} using Theorem 1.12. This means we are tasked with finding values for a, b, h, and k so that F(x) = af(bx-h)+k = a \cdot 2^{bx-h} + k.

Because the horizontal asymptote to the graph of y=f(x) = 2^{x} is y=0 and the horizontal asymptote to the graph y = F(x) is y=4, we know the vertical shift is 4 units up, so k = 4.

Next, looking at how the graph of F approaches the vertical asymptote, it stands to reason the graph of f(x) = 2^{x} undergoes a reflection across x-axis, meaning a<0. For simplicity, we assume a = -1 and see if we can find values for b and h that go along with this choice.

Because (-1,0) and (0,-4) on the graph of F(x) = - (2)^{bx-h} + 4, we know F(-1) = 0 and F(0) = -4. From F(-1)=0, we have -(2)^{-b-h} +4= 0 or 2^{-b-h} = 4 = 2^2. Hence, -b-h = 2 is one solution.[6]

Next, using F(0) = -4, we get -(2)^{-h} +4 = -4 or 2^{-h} = 8 = 2^{3}. From this, we have -h = 3 so h = -3. Putting this together with -b-h = 2, we get -b+3 = 2 so b = 1.

Hence, one solution to the problem is F(x) = -(2)^{x+3} + 4.

To check our answer, we leave it to the reader verify F(-1) = 0, F(0) = -4, as x \rightarrow -\infty, F(x) \rightarrow 4 and as x \rightarrow \infty, F(x) \rightarrow -\infty.

Because we made a simplifying assumption (a = -1), 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 V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) is the value in thousands of dollars.

Calculate and interpret V(0), V(1), and V(2).

Solution:

Calculate and interpret V(0), V(1), and V(2).

We find V(0) = 25(0.8)^{0} = 25 \cdot 1 = 25, V(1) = 25(0.8)^1 = 25 \cdot 0.8 = 20 and V(2) = 25(0.8)^2 = 25 \cdot 0.64 = 16.

t represents the number of years the car has been owned, so t=0 corresponds to the purchase price of the car. V(t) returns the value of the car in thousands of dollars, so V(0) = 25 means the car is worth 25,000 dollars when first purchased. Likewise, V(1) = 20 and V(2) =16 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 V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) is the value in thousands of dollars.

Compute and interpret the average rate of change of V over the intervals [0,1] and [0,2] and [1,2].

Solution:

Compute and interpret the average rate of change of V over the intervals [0,1] and [0,2] and [1,2].

Recall to find the average rate of change of V over an interval [a,b], we compute: \frac{V(b) - V(a)}{b-a}.

For the interval [0,1], we find

    \[ \begin{array}{rcl} \frac{V(1) - V(0)}{1-0} &=& \frac{20-25}{1} \\[6pt] &=& -5 \end{array} \]

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 [0,1], we compute

    \[ \begin{array}{rcl} \frac{V(2) - V(0)}{2-0} &=& \frac{16-25}{2} \\[6pt] &=& -4.5 \end{array} \]

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 [1,2],

    \[ \begin{array}{rcl} \frac{V(2) - V(1)}{2-1} &=& \frac{16-20}{1} \\[6pt] &=& -4 \end{array} \]

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 V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) is the value in thousands of dollars.

Determine and interpret \dfrac{V(1)}{V(0)}, \dfrac{V(2)}{V(1)} and \dfrac{V(2)}{V(0)}.

Solution:

Determine and interpret \dfrac{V(1)}{V(0)}, \dfrac{V(2)}{V(1)} and \dfrac{V(2)}{V(0)}.

We compute: \frac{V(1)}{V(0)} = \frac{20}{25} = 0.8, \frac{V(2)}{V(1)} = \frac{16}{20} = 0.8, and \frac{V(2)}{V(0)} = \frac{16}{25} =0.64.

The ratio \frac{V(1)}{V(0)} = 0.8 can be rewritten as V(1) = 0.8 V(0) which means that the value of the car after 1 year, V(1) is 0.8 times, or 80 \% the initial value of the car, V(0).

Similarly, the ratio \frac{V(2)}{V(1)} = 0.8 rewritten as V(2) = 0.8 V(1) means the value of the car after 2 years, V(2) is 0.8 times, or 80 \% the value of the car after one year, V(1).

Finally, the ratio \frac{V(2)}{V(0)} = 0.64, or V(2) = 0.64 V(0) means the value of the car after 2 years, V(2) is 0.64 times, or 64 \% of the initial value of the car, V(0).

Note that this last result tracks with the previous answers. Because V(1) = 0.8 V(0) and V(2) = 0.8 V(1), we get

    \[ \begin{array}{rcl} V(2) &=& 0.8 V(1) \\  &=& 0.8 (0.8 V(0)) \\ &=& 0.64 V(0) \end{array} \]

Also note it is no coincidence that the base of the exponential, 0.8 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 V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) is the value in thousands of dollars.

For t \geq 0, find and interpret \dfrac{V(t+1)}{V(t)} and \dfrac{V(t+k)}{V(t)}.

Solution:

For t \geq 0, find and interpret \dfrac{V(t+1)}{V(t)} and \dfrac{V(t+k)}{V(t)}.

Using properties of exponents, we find

    \[ \begin{array}{rcl} \dfrac{V(t+1)}{V(t)} &=& \dfrac{25 (0.8)^{t+1}}{25 (0.8)^{t}} \\[6pt] &=& (0.8)^{t+1-t} \\ &=& 0.8 \end{array} \]

Rewriting, we have V(t+1) = 0.8 V(t). This means after one year, the value of the car V(t+1) is only 80 \% of the value it was a year ago, V(t).

Similarly, we find

    \[ \begin{array}{rcl} \dfrac{V(t+k)}{V(t)} &=& \dfrac{25 (0.8)^{t+k}}{25 (0.8)^{t}} \\[6pt] &=& (0.8)^{t+k-t} \\ &=& (0.8)^{k} \end{array} \]

which, rewritten, says V(t+k) = V(t) (0.8)^{k}. This means in k years’ time, the value of the car V(t+k) is only (0.8)^{k} times what it was worth k years ago, V(t).

These results shouldn’t be too surprising. Verbally, the function V(t) = 25 (0.8)^{t} says to multiply 25 by 0.8 multiplied by itself t times. Therefore, for each additional year, we are multiplying the value of the car by an additional factor of 0.8.

Example 5.2.2.5

The value of a car can be modeled by V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) is the value in thousands of dollars.

Compute and interpret \dfrac{V(1) - V(0)}{V(0)}, \dfrac{V(2) - V(1)}{V(1)}, and \dfrac{V(2) - V(0)}{V(0)}.

Solution:

Compute and interpret \dfrac{V(1) - V(0)}{V(0)}, \dfrac{V(2) - V(1)}{V(1)}, and \dfrac{V(2) - V(0)}{V(0)}.

We compute

    \[\frac{V(1) - V(0)}{V(0)} = \frac{20-25}{25} = -0.2,\]

    \[\frac{V(2) - V(1)}{V(1)} = \frac{16-20}{20} = -0.2\]

and

    \[\frac{V(2) - V(0)}{V(0)} = \frac{16 - 25}{25} = -0.36\]

The ratio \frac{V(1) - V(0)}{V(0)} computes the ratio of difference in the value of the car after the first year of ownership, V(1) - V(0), to the initial value, V(0). We find this to be -0.2 or a 20 \% decrease in value. This makes sense as we know from our answer to number 3, the value of the car after 1 year, V(1) is 80 \% of the initial value, V(0). Indeed:

    \[ \begin{array}{rcl} \dfrac{V(1) - V(0)}{V(0)} & = & \dfrac{V(1)}{V(0)} - \dfrac{V(0)}{V(0)} \\[10pt] & = & \dfrac{V(1)}{V(0)} - 1 \end{array} \]

and because \frac{V(1)}{V(0)} = 0.8, we get

    \[ \begin{array}{rcl} \frac{V(1) - V(0)}{V(0)}& = & 0.8 -1 \\ & = & -0.2 \end{array} \]

Likewise, the ratio \frac{V(2) - V(1)}{V(1)} = -0.2 means the value of the car has lost 20 \% of its value over the course of the second year of ownership.

Finally, the ratio \frac{V(2) - V(0)}{V(0)} = -0.36 means that over the first two years of ownership, the car value has depreciated 36 \% 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 64 \% of its initial purchase price.

Example 5.2.2.6

The value of a car can be modeled by V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) is the value in thousands of dollars.

For t \geq 0, find and interpret \dfrac{V(t+1) - V(t)}{V(t)} and \dfrac{V(t+k) - V(t)}{V(t)}.

Solution:

For t \geq 0, find and interpret \dfrac{V(t+1) - V(t)}{V(t)} and \dfrac{V(t+k) - V(t)}{V(t)}.

Using properties of fractions and exponents, we get:

    \[ \begin{array}{rcl} \dfrac{V(t+1) - V(t)}{V(t)} &=& \dfrac{25(0.8)^{t+1} - 25(0.8)^{t}}{25 (0.8)^{t}}\\[10pt] &=& \dfrac{25(0.8)^{t+1}}{25 (0.8)^{t}} - \dfrac{25 (0.8)^{t}}{25 (0.8)^{t}} \\[10pt] &=& 0.8 - 1 \\ &=& -0.2 \end{array} \]

so after one year, the value of the car V(t+1) has lost 20 \% of the value it was a year ago, V(t).

Similarly, we find:

    \[ \begin{array}{rcl} \dfrac{V(t+k) - V(t)}{V(t)} &=& \dfrac{25(0.8)^{t+k} - 25(0.8)^{t}}{25 (0.8)^{t}} \\[10pt] &=& \dfrac{25(0.8)^{t+1}}{25 (0.8)^{t}} - \dfrac{25 (0.8)^{t}}{25 (0.8)^{t}} \\[10pt] &=& (0.8)^{k} - 1 \end{array} \]

so after k years’ time, the value of the car V(t) has decreased by ((0.8)^{k} - 1) \cdot 100 \% of the value k years ago, V(t).

Example 5.2.2.7

The value of a car can be modeled by V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) is the value in thousands of dollars.

Graph y=V(t) starting with the graph of y = V(t) and using transformations.

Solution:

Graph y=V(t) starting with the graph of y = V(t) and using transformations.

To graph y=25(0.8)^{t}, we start with the basic exponential function f(t)=(0.8)^{t}.

The base b = 0.8 satisfies 0 < b <1, therefore the graph of y=f(t) is decreasing.

We plot the y-intercept (0,1) and two other points, (-1, 1.25 ) and (1,0.8), and label the horizontal asymptote y=0.

To obtain the graph of y = 25(0.8)^t = 25 f(t), we multiply all of the y values in the graph by 25 (including the y value of the horizontal asymptote) in accordance with Theorem 1.10 to obtain the points (-1, 31.25), (0, 25) and (1,20). The horizontal asymptote remains the same, (25 \cdot 0 = 0.) Finally, we restrict the domain to [0,\infty) to fit with the applied domain given to us.

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Example 5.2.2.8

The value of a car can be modeled by V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) is the value in thousands of dollars.

Interpret the horizontal asymptote of the graph of y = V(t).

Solution:

Interpret the horizontal asymptote of the graph of y = V(t).

We see from the graph of V that its horizontal asymptote is y=0. This means as the car gets older, its value diminishes to 0.

Example 5.2.2.9

The value of a car can be modeled by V(t) = 25(0.8)^{t}, where t \geq 0 is number of years the car is owned and V(t) 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. V(t) is measured in thousands of dollars, so we this translates to solving the equations V(t) = 12.5 and V(t) = 6.125.

Because we have yet to develop any analytic means to solve equations like 25(0.8)^t = 12.5 (remember t 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 y = V(t) along with the lines y = 12.5 and y = 6.125 and look for intersection points.

We find y = V(t) and y = 12.5 intersect at (approximately) (3.106 12.5) 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) 6.23 years.[8]

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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, V(t+1) = 0.8 V(t). That is to say, the function V has a constant unit multiplier, in this case, 0.8 because to obtain the function value V(t+1), we multiply the function value V(t) by b. It is not coincidence that the multiplier here is the base of the exponential, 0.8.

Indeed, exponential functions of the form f(x) = a \cdot b^{x} have a constant unit multiplier, b. To see this, note

    \[ \begin{array}{rcl} \dfrac{f(x+1)}{f(x)} &=& \dfrac{a \cdot b^{x+1}}{ a \cdot b^{x}}\\[10pt] &=& b^{1} \\ &=& b \end{array} \]

Hence f(x+1) = f(x) \cdot b. 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 T(t) (in degrees Fahrenheit) t minutes after it is served can be modeled by T(t) = 70 + 90 e^{-0.1 t}.

Compute and interpret T(0).

Solution:

Compute and interpret T(0).

T(0) =70 + 90 e^{-0.1 (0)} = 160, thus the temperature of the coffee when it is served is 160^{\circ}F.

Example 5.2.3.2

According to Newton’s Law of Cooling[10] the temperature of coffee T(t) (in degrees Fahrenheit) t minutes after it is served can be modeled by T(t) = 70 + 90 e^{-0.1 t}.

Sketch the graph of y = T(t) using transformations.

Solution:

Sketch the graph of y = T(t) using transformations.

To graph y = T(t) using transformations, we start with the basic function, f(t)=e^{t}. As in Example 5.2.1, we track the points (-1, e^{-1}) \approx (-1, 0.368), (0,1), and (1, e) \approx (1, 2.718), along with the horizontal asymptote y = 0 through each of transformations.

To use Theorem 1.12, we rewrite

    \[ \begin{array}{rcl} T(t) &=& 70 + 90e^{-0.1t} \\ &=& 90e^{-0.1t}+70 \\ &=& 90 f(-0.1t)+70 \end{array} \]

Following Theorem 1.12, we first divide the t-coordinates of each point on the graph of y=f(t) by -0.1 which results in a horizontal expansion by a factor of 10 as well as a reflection about the y-axis.

Next, we multiply the y-values of the points on this new graph by 90 which effects a vertical stretch by a factor of 90. Last but not least, we add 70 to all of the y-coordinates of the points on this second graph, which shifts the graph upwards 70 units.

Tracking points, we have (-1, e^{-1}) \rightarrow (10, e^{-1}) \rightarrow (10, 90e^{-1}) \rightarrow (10, 90e^{-1}+70) \approx (10, 103.112), (0,1) \rightarrow (0,1) \rightarrow (0,90) \rightarrow (0, 160), and (1,e) \rightarrow (-10, e) \rightarrow (-10, 90e) \rightarrow (-10, 90e+70) \approx (-10, 314.62). The horizontal asymptote y=0 is unaffected by the horizontal expansion, reflection about the y-axis, and the vertical stretch, but the vertical shift moves the horizontal asymptote up 70 units, y = 0 \rightarrow y = 70. After restricting the domain to t \geq 0, we get the graph on the right.

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Example 5.2.3.3

According to Newton’s Law of Cooling[11] the temperature of coffee T(t) (in degrees Fahrenheit) t minutes after it is served can be modeled by T(t) = 70 + 90 e^{-0.1 t}.

Determine and interpret the behavior of T(t) as t \rightarrow \infty.

Solution:

Determine and interpret the behavior of T(t) as t \rightarrow \infty.

We can determine the behavior of T(t) as t \rightarrow \infty two ways. First, we can employ the `number sense’ developed in Chapter 3.

That is, as t \rightarrow \infty, we get T(t) = 70+90e^{-0.1t} \approx 70 +90e^{\mbox{\scriptsize very big } (-)}. As e > 1, e^{\mbox{\scriptsize very big } (-)} \approx \mbox{very small } (+). The larger t becomes, the smaller e^{-0.1t} becomes, so the term 90 e^{-0.1t} \approx \mbox{very small } (+).

Hence, T(t) = 70+90e^{-0.1t} \approx 70 + \mbox{very small } (+) \approx 70.

Alternatively, we can look to the graph of y = T(t). We know the horizontal asymptote is y=70 which means as t \rightarrow \infty, T(t) \approx 70.

In either case, we find that as time goes by, the temperature of the coffee is cooling to 70^{\circ} Fahrenheit, ostensibly room temperature.

5.2.1 Section Exercises

In Exercises 1 – 8, sketch the graph of g by starting with the graph of f and using transformations. Track at least three points of your choice and the horizontal asymptote through the transformations. State the domain and range of g.

  1. f(x) = 2^{x} and g(x) = 2^{x} - 1
  2. f(x) = \left(\frac{1}{3}\right)^{x} and g(x) = \left(\frac{1}{3}\right)^{x-1}
  3. f(x) = 3^{x} and g(x) = 3^{-x}+2
  4. f(x) = 10^{x} and g(x) = 10^{\frac{x+1}{2}} - 20
  5. f(t) = (0.5)^{t} and g(t) = 100(0.5)^{0.1t}
  6. f(t) = (1.25)^{t} and g(t) = 1 - (1.25)^{t-2}
  7. f(x) = e^{t} and g(x) = 8 - e^{-t}
  8. f(x) = e^{t} and g(x) = 10e^{-0.1t}

In Exercises, 9 – 12, the graph of an exponential function is given. Find a formula for the function in the form F(x) = a \cdot 2^{bx-h}+k.

  1. Points: \left(-2, -\frac{5}{2} \right), \left(-1, -2 \right), \left(0, -1 \right), Asymptote: y = -3

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  2. Points: \left(-1, 1 \right), \left(0, 2 \right), \left(1, \frac{5}{2} \right), Asymptote: y = 3

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  3. Points: \left(\frac{5}{2}, \frac{1}{2} \right), \left(3,1 \right), \left(\frac{7}{2}, 2 \right),  Asymptote: y = 0

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  4. Points: \left(-\frac{1}{2}, 6 \right), \left(0,3 \right), \left(\frac{1}{2}, \frac{3}{2} \right), Asymptote: y = 0

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  5. Find a formula for each graph in Exercises 9 – 12 of the form G(x) = a \cdot 4^{bx-h} + k. Did you change your solution methodology? What is the relationship between your answers for F(x) and G(x) for each graph?
  6. In Example 5.2.1 number 2, we obtained the solution F(x) = -2^{x+3} + 4 as one formula for the given graph by making a simplifying assumption that a = -1. This exercises explores if there are any other solutions for different choices of a.
    1. Show G(x) = -4 \cdot 2^{x+1} + 4 also fits the data for the given graph, and use properties of exponents to show G(x) = F(x). (Use the fact that 4 = 2^2 \; \ldots)
    2. With help from your classmates, find solutions to Example 5.2.1 number 2 using a = -8, a = -16 and a = -\frac{1}{2}. Show all your solutions can be rewritten as: F(x) = -2^{x+3} + 4.
    3. Using properties of exponents and the fact that the range of 2^{x} is (0, \infty), show that any function of the form f(x) = -a \cdot 2^{bx-h} + k for a> 0 can be rewritten as f(x) = - 2^{c} \, 2^{bx-h} + k = -2^{bx-h+c} + k. Relabeling, this means every function of the form f(x) = -a \cdot 2^{bx-h} + k with four parameters (a, b, h, and k) can be rewritten as f(x) = - 2^{bx - H} + k, a formula with just three parameters: b, H, and k. Conclude that every solution to Example 5.2.1 number 2 reduces to F(x) = -2^{x+3} + 4 .

In Exercises 15 – 20, write the given function as a nontrivial decomposition of functions as directed.

  1. For f(x) = e^{-x} +1, find functions g and h so that f=g+h
  2. For f(x) = e^{2x} - x, find functions g and h so that f=g-h
  3. For f(t) = t^2 e^{-t}, find functions g and h so that f=gh
  4. For r(x) = \dfrac{e^{x} - e^{-x}}{e^{x}+e^{-x}}, find functions f and g so r = \dfrac{f}{g}
  5. For k(x) = e^{-x^2}, find functions f and g so that k = g \circ f
  6. For s(x) =\sqrt{e^{2x} - 1}, find functions f and g so s = g \circ f
  7. Show that the average rate of change of a function over the interval [x, x+2] is average of the average rates of change of the function over the intervals [x,x+1] and [x+1, x+2]. Can the same be said for the average rate of change of the function over [x, x+3] and the average of the average rates of change over [x, x+1], [x+1, x+2], and [x+2, x+3]? Generalize.
  8. Which is larger: e^{\pi} or \pi^{e}? 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


  1. See the discussion of real number exponents in Section 4.2.
  2. or, as we defined real number exponents in Section 4.2, if x is an irrational number \ldots
  3. Meaning, graph some more examples on your own.
  4. Recall that this means the graph of f has no sharp turns or corners.
  5. The digital world is comprised of bytes which take on one of two values: 0 or `off' and 1 or `on.'
  6. This is the only solution. f(x) = 2^{x}, so the equation 2^{-b-h} = 2^2 is equivalent to the functional equation f(-b-h) = f(2). f is one-to-one, so we know this is true only when -b-h = 2.
  7. It turns out for any function f, the average rate of change over the interval [x, x+2] is the average of the average rates of change of f over [x, x+1] and [x+1, x+2]. See Exercise 21.
  8. 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?
  9. We will discuss this in greater detail in Section 5.7.
  10. We will discuss this in greater detail in Section 5.7.
  11. We will discuss this in greater detail in Section 5.7.
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