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Exponential Functions |
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India is the second most populous country in the world with a population of about 1.25
billion people in 2013. The population is growing at a rate of about 1.2%
each year1{: data-type="footnote-link"}. If this rate continues, the population of India will exceed China’s population by the year 2031.
When populations grow rapidly, we often say that the growth is “exponential,” meaning that something is growing very rapidly. To a mathematician, however, the term exponential growth has a very specific meaning. In this section, we will take a look at exponential functions, which model this kind of rapid growth.
When exploring linear growth, we observed a constant rate of change—a constant number by which the output increased for each unit increase in input. For example, in the equation f(x)=3x+4,
the slope tells us the output increases by 3 each time the input increases by 1. The scenario in the India population example is different because we have a percent change per unit time (rather than a constant change) in the number of people.
A study found that the percent of the population who are vegans in the United States doubled from 2009 to 2011. In 2011, 2.5% of the population was vegan, adhering to a diet that does not include any animal products—no meat, poultry, fish, dairy, or eggs. If this rate continues, vegans will make up 10% of the U.S. population in 2015, 40% in 2019, and 80% in 2021.
What exactly does it mean to grow exponentially? What does the word double have in common with percent increase? People toss these words around errantly. Are these words used correctly? The words certainly appear frequently in the media.
- Percent change refers to a change based on a percent of the original amount.
- Exponential growth refers to an increase based on a constant multiplicative rate of change over equal increments of time, that is, a percent increase of the original amount over time.
- Exponential decay{: data-type="term"} refers to a decrease based on a constant multiplicative rate of change over equal increments of time, that is, a percent decrease of the original amount over time.
For us to gain a clear understanding of exponential growth{: data-type="term" .no-emphasis}, let us contrast exponential growth with linear growth{: data-type="term" .no-emphasis}. We will construct two functions. The first function is exponential. We will start with an input of 0, and increase each input by 1. We will double the corresponding consecutive outputs. The second function is linear. We will start with an input of 0, and increase each input by 1. We will add 2 to the corresponding consecutive outputs. See [link].
| x
| f(x)= 2 x
| g(x)=2x
| |---------- | 0 | 1 | 0 | | 1 | 2 | 2 | | 2 | 4 | 4 | | 3 | 8 | 6 | | 4 | 16 | 8 | | 5 | 32 | 10 | | 6 | 64 | 12 | {: #Table_04_01_01 summary="Eight rows and three columns. The first column is labeled, “x”, which goes from 0 to 6; the second column is labeled, “f(x)=2^x”; and the third column is labeled, “g(x) = 2x”. The following values are for the function f: (0, 1), (1, 2), (2, 4), (3, 8), (4, 16), (5, 32), and (6, 64). The following values are for the function g: (0, 0), (1, 2), (2, 4), (3, 6), (4, 8), (5, 10), and (6, 12)."}
From [link] we can infer that for these two functions, exponential growth dwarfs linear growth.
- Exponential growth refers to the original value from the range increases by the same percentage over equal increments found in the domain.
- Linear growth refers to the original value from the range increases by the same amount over equal increments found in the domain.
Apparently, the difference between “the same percentage” and “the same amount” is quite significant. For exponential growth, over equal increments, the constant multiplicative rate of change resulted in doubling the output whenever the input increased by one. For linear growth, the constant additive rate of change over equal increments resulted in adding 2 to the output whenever the input was increased by one.
The general form of the exponential function{: data-type="term" .no-emphasis} is f(x)=a b x ,
where a
is any nonzero number, b
is a positive real number not equal to 1.
-
If b>1,
the function grows at a rate proportional to its size.
-
If 0<b<1,
the function decays at a rate proportional to its size.
Let’s look at the function f(x)= 2 x
from our example. We will create a table ([link]) to determine the corresponding outputs over an interval in the domain from −3
to 3.
| x | −3
| −2
| −1
| 0
| 1
| 2
| 3
| | f(x)= 2 x
| 2 −3 = 1 8| 2 −2 = 1 4
| 2 −1 = 1 2
| 2 0 =1
| 2 1 =2
| 2 2 =4
| 2 3 =8
| {: #Table_04_01_02 summary="Two rows and eight columns. The first row is labeled, “x”, and the second row is labeled, “f(x)=2^x”. Reading the columns as ordered pairs, we have the following values: (-3, 2^(-3)=1/8), (-2, 2^(-2)=1/4), (-1, 2^(-1)=1/2), (0, 2^(0)=1), (1, 2^(1)=2), (2, 2^(2)=4), and (3, 2^(3)=8)."}
Let us examine the graph of f
by plotting the ordered pairs we observe on the table in [link], and then make a few observations.
{: #CNX_Precalc_Figure_04_01_006}
Let’s define the behavior of the graph of the exponential function f(x)= 2 x
and highlight some its key characteristics.
-
the domain is ( −∞,∞ ),
-
the range is ( 0,∞ ),
-
as x→∞,f(x)→∞,
-
as x→−∞,f(x)→0,
-
f(x)
is always increasing,
-
the graph of f(x)
will never touch the x-axis because base two raised to any exponent never has the result of zero.
-
y=0
is the horizontal asymptote.
-
the y-intercept is 1.
an exponential function is a function with the form
-
a
is a non-zero real number called the initial value and
-
b
is any positive real number such that b≠1.
-
The domain of f
is all real numbers.
-
The range of f
is all positive real numbers if a>0.
-
The range of f
is all negative real numbers if a<0.
-
The y-intercept is ( 0,a ),
and the horizontal asymptote is y=0.
-
f(x)= 4 3( x−2 )
-
g(x)= x 3
-
h(x)= ( 1 3 ) x
-
j(x)= ( −2 ) x
does not represent an exponential function because the base is an independent variable. In fact, g(x)= x 3
is a power function.
Recall that the base b of an exponential function is always a positive constant, and b≠1.
Thus, j(x)= ( −2 ) x
does not represent an exponential function because the base, −2,
is less than 0.
-
f(x)=2 x 2 −3x+1
-
g(x)= 0.875 x
-
h(x)=1.75x+2
-
j(x)= 1095.6 −2x
and j(x)= 1095.6 −2x
represent exponential functions.
Recall that the base of an exponential function must be a positive real number other than 1.
Why do we limit the base b
to positive values? To ensure that the outputs will be real numbers. Observe what happens if the base is not positive:
-
Let b=−9
and x= 1 2 .
Then f(x)=f( 1 2 )= ( −9 ) 1 2 = −9 ,
which is not a real number.
Why do we limit the base to positive values other than 1?
Because base 1
results in the constant function. Observe what happens if the base is 1:
-
Let b=1.
Then f(x)= 1 x =1
for any value of x.
To evaluate an exponential function with the form f(x)= b x ,
we simply substitute x
with the given value, and calculate the resulting power. For example:
Let f(x)= 2 x .
What is f(3)?
To evaluate an exponential function with a form other than the basic form, it is important to follow the order of operations. For example:
Let f(x)=30 ( 2 ) x .
What is f(3)?
Note that if the order of operations were not followed, the result would be incorrect:
Evaluate f( 2 )
without using a calculator.
Evaluate f( 3 )
using a calculator. Round to four decimal places.
Because the output of exponential functions increases very rapidly, the term “exponential growth” is often used in everyday language to describe anything that grows or increases rapidly. However, exponential growth can be defined more precisely in a mathematical sense. If the growth rate is proportional to the amount present, the function models exponential growth.
and any positive real numbers a
and b
such that b≠1,
an exponential growth function has the form
-
a
is the initial or starting value of the function.
-
b
is the growth factor or growth multiplier per unit x
.
In more general terms, we have an exponential function, in which a constant base is raised to a variable exponent. To differentiate between linear and exponential functions, let’s consider two companies, A and B. Company A has 100 stores and expands by opening 50 new stores a year, so its growth can be represented by the function A( x )=100+50x.
Company B has 100 stores and expands by increasing the number of stores by 50% each year, so its growth can be represented by the function B(x)=100 ( 1+0.5 ) x .
A few years of growth for these companies are illustrated in [link].
| Year, x
| Stores, Company A | Stores, Company B | |---------- | 0
| 100+50( 0 )=100
| 100 ( 1+0.5 ) 0 =100
| | 1
| 100+50( 1 )=150
| 100 ( 1+0.5 ) 1 =150
| | 2
| 100+50( 2 )=200
| 100 ( 1+0.5 ) 2 =225
| | 3
| 100+50( 3 )=250
| 100 ( 1+0.5 ) 3 =337.5
| | x
| A( x )=100+50x
| B(x)=100 ( 1+0.5 ) x
| {: #Table_04_01_05 summary="Six rows and three columns. The first column is labeled, “Year, x”, which goes from 0 to 3; the second column is labeled, “Stores, Company A”, which has a function of A(x) = 100+50x; and the third column is labeled, “Stores, Company B”, which has a function of B(x)=100(1+0.5)^x. The following values are for Company A’s function: (0, 100), (1, 150), (2, 200), and (3, 250). The following values are for the function Company B’s function: (0, 100), (1, 150), (2, 225), and (3, 337.5)."}
The graphs comparing the number of stores for each company over a five-year period are shown in [link]. We can see that, with exponential growth, the number of stores increases much more rapidly than with linear growth.
{: #CNX_Precalc_Figure_04_01_001}
Notice that the domain for both functions is [0,∞),
and the range for both functions is [100,∞).
After year 1, Company B always has more stores than Company A.
Now we will turn our attention to the function representing the number of stores for Company B, B(x)=100 ( 1+0.5 ) x .
In this exponential function, 100 represents the initial number of stores, 0.50 represents the growth rate, and 1+0.5=1.5
represents the growth factor. Generalizing further, we can write this function as B(x)=100 ( 1.5 ) x ,
where 100 is the initial value, 1.5
is called the base, and x
is called the exponent.
billion in the year 2013, with an annual growth rate of about 1.2%.
This situation is represented by the growth function P(t)=1.25 ( 1.012 ) t ,
where t
is the number of years since 2013.
To the nearest thousandth, what will the population of India be in 2031?
because 2031 is 18
years after 2013. Rounding to the nearest thousandth,
This situation is represented by the growth function P(t)=1.39 ( 1.006 ) t ,
where t
is the number of years since 2013.
To the nearest thousandth, what will the population of China be for the year 2031? How does this compare to the population prediction we made for India in [link]?
billion people; by the year 2031, India’s population will exceed China’s by about 0.001 billion, or 1 million people.
In the previous examples, we were given an exponential function, which we then evaluated for a given input. Sometimes we are given information about an exponential function without knowing the function explicitly. We must use the information to first write the form of the function, then determine the constants a
and b,
and evaluate the function.
-
If one of the data points has the form ( 0,a ),
then a
is the initial value. Using a,
substitute the second point into the equation f(x)=a ( b ) x ,
and solve for b.
-
If neither of the data points have the form ( 0,a ),
substitute both points into two equations with the form f(x)=a ( b ) x .
Solve the resulting system of two equations in two unknowns to find a
and b.
-
Using the a
and b
found in the steps above, write the exponential function in the form f(x)=a ( b ) x . {: type="1"}
representing the population ( N )
of deer over time t.
be the number of years after 2006. Thus, the information given in the problem can be written as input-output pairs: (0, 80) and (6, 180). Notice that by choosing our input variable to be measured as years after 2006, we have given ourselves the initial value for the function, a=80.
We can now substitute the second point into the equation N(t)=80 b t
to find b:
The exponential model for the population of deer is N(t)=80 ( 1.1447 ) t .
(Note that this exponential function models short-term growth. As the inputs gets large, the output will get increasingly larger, so much so that the model may not be useful in the long term.)
We can graph our model to observe the population growth of deer in the refuge over time. Notice that the graph in [link] passes through the initial points given in the problem, ( 0, 80 )
and ( 6, 180 ).
We can also see that the domain for the function is [0,∞),
and the range for the function is [80,∞).
wolves were counted. By 2013,
the population had reached 236 wolves. What two points can be used to derive an exponential equation modeling this situation? Write the equation representing the population N
of wolves over time t.
and ( 2,236 ); N(t)=129 ( 1.3526 ) t
and ( 2,1 ).
and then solve the system for a
and b.
-
Substituting ( −2,6 )
gives 6=a b −2
-
Substituting ( 2,1 )
gives 1=a b 2
Use the first equation to solve for a
in terms of b:
{: data-type="newline"}
in the second equation, and solve for b:
in the first equation to solve for the value of a:
{: data-type="newline"}
Thus, the equation is f(x)=2.4492 (0.6389) x .
We can graph our model to check our work. Notice that the graph in [link] passes through the initial points given in the problem, ( −2, 6 )
and ( 2, 1 ).
The graph is an example of an exponential decay{: data-type="term" .no-emphasis} function.
and ( 2,4.5 ),
find the equation of the exponential function that passes through these two points.
*Yes, provided the two points are either both above the x-axis or both below the x-axis and have different x-coordinates. But keep in mind that we also need to know that the graph is, in fact, an exponential function. Not every graph that looks exponential really is exponential. We need to know the graph is based on a model that shows the same percent growth with each unit increase in x,
which in many real world cases involves time.*
-
First, identify two points on the graph. Choose the y-intercept as one of the two points whenever possible. Try to choose points that are as far apart as possible to reduce round-off error.
-
If one of the data points is the *y-*intercept ( 0,a )
, then a
is the initial value. Using a,
substitute the second point into the equation f(x)=a ( b ) x ,
and solve for b.
-
If neither of the data points have the form ( 0,a ),
substitute both points into two equations with the form f(x)=a ( b ) x .
Solve the resulting system of two equations in two unknowns to find a
and b.
-
Write the exponential function, f(x)=a ( b ) x . {: type="1"}
as our first point. This gives us the initial value, a=3.
Next, choose a point on the curve some distance away from ( 0,3 )
that has integer coordinates. One such point is (2,12).
we will use b=2.
Substitute a
and b
into the standard form to yield the equation f(x)=3 (2) x .
-
Press [STAT].
-
Clear any existing entries in columns L1 or L2.
-
In L1, enter the x-coordinates given.
-
In L2, enter the corresponding y-coordinates.
-
Press [STAT] again. Cursor right to CALC, scroll down to ExpReg (Exponential Regression), and press [ENTER].
-
The screen displays the values of a and b in the exponential equation y=a⋅ b x
. {: type="1"}
and (5,198.4).
Now press [STAT], [CALC], [0: ExpReg] and press [ENTER]. The values a=6.2
and b=2
will be displayed. The exponential equation is y=6.2⋅ 2 x .
Savings instruments in which earnings are continually reinvested, such as mutual funds and retirement accounts, use compound interest{: data-type="term"}. The term compounding refers to interest earned not only on the original value, but on the accumulated value of the account.
The annual percentage rate (APR){: data-type="term"} of an account, also called the nominal rate{: data-type="term"}, is the yearly interest rate earned by an investment account. The term nominal is used when the compounding occurs a number of times other than once per year. In fact, when interest is compounded more than once a year, the effective interest rate ends up being greater than the nominal rate! This is a powerful tool for investing.
We can calculate the compound interest using the compound interest formula, which is an exponential function of the variables time t,
principal P,
APR r,
and number of compounding periods in a year n:
For example, observe [link], which shows the result of investing $1,000 at 10% for one year. Notice how the value of the account increases as the compounding frequency increases.
| Frequency | Value after 1 year | |---------- | Annually | $1100 | | Semiannually | $1102.50 | | Quarterly | $1103.81 | | Monthly | $1104.71 | | Daily | $1105.16 | {: #Table_04_01_03 summary="Six rows and two columns. The first column is labeled, “Frequency”, and the second column is labeled, “Value after 1 Year”. Reading the rows from left to right, we have that Annually is valued at 100, Semiannually at 102.50, Quarterly at 103.81, Monthly at 104.71, and Daily at 105.16."}
-
A(t)
is the account value,
-
t
is measured in years,
-
P
is the starting amount of the account, often called the principal, or more generally present value,
-
r
is the annual percentage rate (APR) expressed as a decimal, and
-
n
is the number of compounding periods in one year.
Our interest rate is 3%, so r = 0.03.
Because we are compounding quarterly, we are compounding 4 times per year, so n=4.
We want to know the value of the account in 10 years, so we are looking for A( 10 ),
the value when t = 10.
Interest is compounded twice a year, so k=2.
We want to find the initial investment, P,
needed so that the value of the account will be worth $40,000 in 18
years. Substitute the given values into the compound interest formula, and solve for P.
As we saw earlier, the amount earned on an account increases as the compounding frequency increases. [link] shows that the increase from annual to semi-annual compounding is larger than the increase from monthly to daily compounding. This might lead us to ask whether this pattern will continue.
Examine the value of $1 invested at 100% interest for 1 year, compounded at various frequencies, listed in [link].
Frequency | A(t)= ( 1+ 1 n ) n | Value |
---|---|---|
Annually | ( 1+ 1 1 ) 1 | $2 |
Semiannually | ( 1+ 1 2 ) 2 | $2.25 |
Quarterly | ( 1+ 1 4 ) 4 | $2.441406 |
Monthly | ( 1+ 1 12 ) 12 | $2.613035 |
Daily | ( 1+ 1 365 ) 365 | $2.714567 |
Hourly | ( 1+ 1 8760 ) 8760 | $2.718127 |
Once per minute | ( 1+ 1 525600 ) 525600 | $2.718279 |
Once per second | ( 1+131536000 ) 31536000 | $2.718282 |
These values appear to be approaching a limit as n
increases without bound. In fact, as n
gets larger and larger, the expression ( 1+ 1 n ) n
approaches a number used so frequently in mathematics that it has its own name: the letter e.
This value is an irrational number, which means that its decimal expansion goes on forever without repeating. Its approximation to six decimal places is shown below.
The constant was named by the Swiss mathematician Leonhard Euler (1707–1783) who first investigated and discovered many of its properties.
Round to five decimal places.
The window shows [ e^( ].
Type 3.14
and then close parenthesis, [ ) ].
Press [ENTER]. Rounding to 5
decimal places, e 3.14 ≈23.10387.
Caution: Many scientific calculators have an “Exp” button, which is used to enter numbers in scientific notation. It is not used to find powers of e.
Round to five decimal places.
So far we have worked with rational bases for exponential functions. For most real-world phenomena, however, e is used as the base for exponential functions. Exponential models that use e
as the base are called continuous growth or decay models. We see these models in finance, computer science, and most of the sciences, such as physics, toxicology, and fluid dynamics.
and all positive numbers a
and r,
continuous growth or decay is represented by the formula
-
a
is the initial value,
-
r
is the continuous growth rate per unit time,
-
and t
is the elapsed time.
If r>0
, then the formula represents continuous growth. If r<0
, then the formula represents continuous decay.
For business applications, the continuous growth formula is called the continuous compounding formula and takes the form
-
P
is the principal or the initial invested,
-
r
is the growth or interest rate per unit time,
-
and t
is the period or term of the investment.
solve a continuous growth or decay function.**
-
Use the information in the problem to determine a
, the initial value of the function.
-
Use the information in the problem to determine the growth rate r.
-
If the problem refers to continuous growth, then r>0.
-
If the problem refers to continuous decay, then r<0. {: type="a"}
-
-
Use the information in the problem to determine the time t.
-
Substitute the given information into the continuous growth formula and solve for A(t). {: type="1"}
The initial investment was $1,000, so P=1000.
We use the continuous compounding formula to find the value after t=1
year:
, is negative. So, r = −0.173.
The initial amount of radon-222 was 100
mg, so a=100.
We use the continuous decay formula to find the value after t=3
days:
in scientific notation. While the output of an exponential function is never zero, this number is so close to zero that for all practical purposes we can accept zero as the answer.)
definition of the exponential function | f(x)= b x , where b>0, b≠1 |
definition of exponential growth | f(x)=a b x , where a>0, b>0, b≠1 |
compound interest formula |
A(t)=P
(
1+
r
n
|
continuous growth formula |
A(t)=a
e
rt
, where
t is the number of unit time periods of growth a is the starting amount (in the continuous compounding formula a is replaced with P, the principal) e is the mathematical constant, e≈2.718282 |
-
An exponential function is defined as a function with a positive constant other than 1
raised to a variable exponent. See [link].
-
A function is evaluated by solving at a specific value. See [link] and [link].
-
An exponential model can be found when the growth rate and initial value are known. See [link].
-
An exponential model can be found when the two data points from the model are known. See [link].
-
An exponential model can be found using two data points from the graph of the model. See [link].
-
An exponential model can be found using two data points from the graph and a calculator. See [link].
-
The value of an account at any time t
can be calculated using the compound interest formula when the principal, annual interest rate, and compounding periods are known. See [link].
-
The initial investment of an account can be found using the compound interest formula when the value of the account, annual interest rate, compounding periods, and life span of the account are known. See [link].
-
The number e
is a mathematical constant often used as the base of real world exponential growth and decay models. Its decimal approximation is e≈2.718282.
-
Scientific and graphing calculators have the key [ e x ]
or [ exp(x) ]
for calculating powers of e.
See [link].
-
Continuous growth or decay models are exponential models that use e
as the base. Continuous growth and decay models can be found when the initial value and growth or decay rate are known. See [link] and [link].
For the following exercises, identify whether the statement represents an exponential function. Explain.
every 24
hours.
annually over the last 20
years.
less than the previous training session.
is represented by the function h(t)=−4.9 t 2 +18t+40.
For the following exercises, consider this scenario: For each year t,
the population of a forest of trees is represented by the function A(t)=115 (1.025) t .
In a neighboring forest, the population of the same type of tree is represented by the function B(t)=82 (1.029) t .
(Round answers to the nearest whole number.)
years? By how many?
years, forest A will have 43
more trees than forest B.
years? By how many?
For the following exercises, determine whether the equation represents exponential growth, exponential decay, or neither. Explain.
is greater than 1.
is between 0
and 1.
For the following exercises, find the formula for an exponential function that passes through the two points given.
and (3,750)
and (2,20)
and ( 3,24 )
and ( 3,1 )
and (5,4)
For the following exercises, determine whether the table could represent a function that is linear, exponential, or neither. If it appears to be exponential, find a function that passes through the points.
x | 1 | 2 | 3 | 4 |
f(x) | 10 | 20 | 40 | 80 |
For the following exercises, use the compound interest formula, A(t)=P ( 1+ r n ) nt .
What is the value of the account?
interest compounded semi-annually. What will the account be worth in 20
years?
.
after earning 5.5%
interest compounded monthly for 5
years. (Round to the nearest dollar.)
more years?
For the following exercises, determine whether the equation represents continuous growth, continuous decay, or neither. Explain.
earning 7.2%
interest compounded continuously. How much will the account be worth after 30
years?
years if it were compounded monthly instead?
For the following exercises, evaluate each function. Round answers to four decimal places, if necessary.
for f( −3 )
for f( −1 )
for f( 3 )
for f( −1 )
for f( −2 )
for f( 3 )
for f( 2 )
For the following exercises, use a graphing calculator to find the equation of an exponential function given the points on the curve.
and (3,375)
and (10,77.456)
and (150,730.89)
and (13,0.005)
and (25,356.3652)
for the APY of any account that compounds n
times per year.
I(n)= ( 1+ r n ) n −1
such that a
and b
are positive numbers and b≠1.
Any positive number b
can be written as b= e n
for some value of n
. Use this fact to rewrite the formula for an exponential function that uses the number e
as a base.
the exponential decay function can be written as f(x)=a⋅ ( 1 b ) x .
Use this formula, along with the fact that b= e n ,
to show that an exponential decay function takes the form f(x)=a ( e ) −nx
for some positive number n
.
be the exponential decay function f(x)=a⋅ ( 1 b ) x
such that b>1.
Then for some number n>0,
f(x)=a⋅ ( 1 b ) x =a ( b −1 ) x =a ( ( e n ) −1 ) x =a ( e −n ) x =a ( e ) −nx .
in an investment account with a nominal interest rate r
at any time t
is given by A(t)=a ( e ) rt ,
where a
is the amount of principal initially deposited into an account that compounds continuously. Prove that the percentage of interest earned to principal at any time t
can be calculated with the formula I(t)= e rt −1.
fox
$155,368.09
$449.75
- {: data-type="footnote-ref" #footnote1} 1{: data-type="footnote-ref-link"} http://www.worldometers.info/world-population/. Accessed February 24, 2014.
- {: data-type="footnote-ref" #footnote2} 2{: data-type="footnote-ref-link"} Oxford Dictionary. http://oxforddictionaries.com/us/definition/american\\\_english/nomina. {: data-list-type="bulleted" data-bullet-style="none"}
annual percentage rate (APR) : the yearly interest rate earned by an investment account, also called nominal rate ^
compound interest : interest earned on the total balance, not just the principal ^
exponential growth : a model that grows by a rate proportional to the amount present ^
nominal rate : the yearly interest rate earned by an investment account, also called annual percentage rate