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Just Enough Algebra

Section 5.1 Modeling with exponential equations

My grandmother was born in eastern Europe at the end of the 1800s. When she was eight years old her parents brought her and her younger sister and brother to the United States to escape harsh treatment by the government. Both her parents had to work, so my grandmother dropped out of school when she was thirteen years old to take care of the children, which now included another brother and sister.
Time passed and she married a handsome young veteran of World War I, who had also immigrated to the country as a young child. For her wedding dowry his parents bought my grandmother a set of sterling silverware, valued at $800 in 1920. My grandmother was very proud of her sterling and used it often.
Over the years, the sterling has increased in value, let’s say by around 3% per year. In 1957, my grandmother handed it down to my mother as a wedding present. In 1990, I married and my mother handed the sterling down to me. What was it worth at those times, and how much should it be insured for through 2015?
Let’s write the equation to answer these questions. The variables should be
\begin{align*} S \amp= \text{ value of sterling (\$) } \sim \text{ dep} \\ Y \amp= \text{ time (years since 1920) } \sim \text{ indep} \end{align*}
We’re saying that the sterling increased 3% per year in value. For example, in 1921, the sterling was worth
\begin{equation*} \$800 + 3\% \text{ of } \$800 = 800 + 0.03 \times 800 = 800 + 24= \$824 \end{equation*}
Remember the shortcut here?
\begin{equation*} 800 \times 1.03 = 824 \end{equation*}
The idea is after one year we have the original $800 plus 3% more for a grand total of 103% of what we had before. And 103% = 1.03.
After 5 years, the sterling was worth
\begin{equation*} 800 \ast 1.03 \ast 1.03 \ast 1.03 \ast 1.03 \ast 1.03 = 800 \ast 1.03^5 \end{equation*}
since multiplying by 1.03 five times is the same as multiplying by \(1.03^5\text{.}\) On the calculator we do
\begin{equation*} 800 \times 1.03 \wedge 5 = 927.4192594 \approx \$927 \end{equation*}
Generalizing, we get our equation
\begin{equation*} 800 \times 1.03 \wedge Y= S \end{equation*}
which can be rewritten as
\begin{equation*} S=800 \ast 1.03 ^ Y \end{equation*}
This equation fits our template for an exponential equation
\begin{equation*} \text{dep }=\text{ start } \ast \text{growth factor}^{\text{indep}} \end{equation*}
Quick recap. A function is exponential if it corresponds to a fixed percent increase (or decrease). The percent increase is the growth rate; in our example, the growth rate is \(r=3\%=0.03\text{.}\) The number we multiply by is the growth factor and it is also the base of the power in the equation; in our example, the growth factor is \(g = 1.03\text{.}\) The Percent Change Formula from Section 2.2 reminds us that
\begin{equation*} g=1 + r = 1+0.03 =1.03 \end{equation*}
Let’s answer those questions. In 1957, we had \(Y = 1957 - 1920 = 37\) years and so
\begin{equation*} S = 800\ast1.03^{37} = 800 \times 1.03 \wedge \underline{37}= 2388.18134\ldots \approx \$2{,}388 \end{equation*}
By 1990, we had \(Y = 1990 - 1920 = 70\) years and so
\begin{equation*} S = 800\ast1.03^{70} = 800 \times 1.03 \wedge \underline{70}= 6334.2575\ldots \approx \$6{,}334 \end{equation*}
By 2015, we have \(Y = 2015 - 1920 = 95\) years and so
\begin{equation*} S = 800\ast1.03^{95} = 800 \times 1.03 \wedge \underline{95}= 13262.5286\ldots \approx \$13{,}262 \end{equation*}
Let’s summarize this information in a table and draw a graph.
year 1920 1921 1925 1957 1990 2015
\(Y\) 0 1 5 37 70 95
\(S\) 800 824 927 2,388 6,334 13,262
Actually, the insurance policy allows for up to $20,000. The curve we drew suggests that the value will be $20,000 just past \(Y=100\) (the year 2020), probably somewhere around \(Y=110\) (the year 2030).
We can use successive approximation to improve our answer.
year 2020 2030 2029 2028
\(Y\) 100 110 109 108
\(S\) 15,375 20,663 20,061 19,476
vs. 20,000 low high high low
Seems to be around the year 2029, where \(Y=109\text{,}\) as we had guessed.
Of course, we can solve the exponential equation instead. To find when \(S= 20{,}000\) we use our equation \(S = 800 \ast 1.03^Y\) to get
\begin{equation*} 800 \ast 1.03^Y = 20{,}000 \end{equation*}
Divide each side by 800 to get
\begin{equation*} \frac{\cancel{800} \ast 1.03^Y}{\cancel{800}} = \frac{ 20{,}000}{800} \end{equation*}
and so
\begin{equation*} 1.03^Y = \frac{ 20{,}000}{800} = 20{,}000 \div {800} = 25 \end{equation*}
Since we want to solve for the exponent, we use the Log-Divides Formula with growth factor \(g=1.03\) and the value \(v= 25\) to get
\begin{equation*} Y = \frac{\log (v)}{\log(g)} = \frac{\log (25)}{\log(1.03)} = \log (25) \div \log (1.03) = 108.89737 \approx 109 \end{equation*}
We rounded up to make sure it would reach the full $20,000. Since 1920 + 109 = 2029, we see (again) that the value should reach $20,000 in the year 2029.
As an aside, look what happens when we calculate the rate of change for this function. For example, during the first five years,
\begin{equation*} \text{rate of change} = \frac{\text{change dep}}{\text{change indep}} = \frac{\$927 - \$800}{1925-1920}= \frac{\$127}{5 \text{ years}} = 127 \div 5 = \$25.40\text{/year} \end{equation*}
and from 1925 to 1957,
\begin{equation*} \text{rate of change} = \frac{\text{change dep}}{\text{change indep}} = \frac{\$2{,}388 - \$927}{1957-1925}= \frac{\$1{,}461}{32 \text{ years}} = 1{,}461 \div 32 \approx \$45.66\text{/year} \end{equation*}
In the first few years, the value increased an average of $25.40 a year, but from 1925 to 1957 it increased an average of about $45.66 per year.
Were we supposed to get different numbers here? Well, the graph’s not a straight line and it’s not a linear equation. That tells us the rate of change isn’t going to be constant. So, sure, different numbers are fine. Does it make sense that the rate of change would itself increase? That the value increases at an increasing rate? Yes. Although we are always just adding on 3%, we’re taking 3% of larger numbers each year. So more is added each year.

Do you know …

  1. What makes a function exponential?
  2. The template for an exponential equation? Ask your instructor if you need to remember the template or if it will be provided during the exam.
  3. How to write an exponential equation given the starting amount and percent increase?
  4. Where the growth factor and starting amount appear in the template of an exponential equation?
  5. What the graph of an exponential function looks like?
  6. How to solve an exponential equation using the Log-Divides Formula?
    Ask your instructor if you need to remember the Log-Divides Formula or if it will be provided during the exam.
  7. How to calculate the rate of change of an exponential function?
  8. Why the rate of change of an exponential function is not constant?
If you’re not sure, work the rest of exercises and then return to these questions. Or, ask your instructor or a classmate for help.

Exercises Exercises

Exercises 1-4 are available in a separate workbook format.

1.

The population of Buenos Aires, Argentina in 1950 was estimated at 5.0 million and expected to grow at 1.8% each year.
(a)
Name the variables.
(b)
What is the annual growth factor?
(c)
Write an equation estimating the population of Buenos Aires over time.
(d)
Make a table of values showing the estimated population of Buenos Aires every 20th year from 1950 to 2030.
(e)
By approximately how many people has the population been increasing per year over each 20 year period? Add these numbers to your table. As expected, these numbers change because the rate of change is not constant.
(f)
In 2000 the actual population of Buenos Aires was around 12.6 million and by 2010 it was around 15.2 million. How do these data compare to the estimates?

2.

A flu virus has been spreading through the college dormitories. Initially 8 students were diagnosed with the flu, but that number has been growing 16% per day. Earlier we found the equation
\begin{equation*} N=8 \ast1.16^T \end{equation*}
where \(T\) is the time in days (since the first diagnosis) and \(N\) is the total number of students who had the flu. (Story also appears in 2.2.3 and Section 5.5)
(a)
Use successive approximations to estimate when the number of infected students reaches 100. Display your guesses in a table.
(b)
Use the Log-Divides Formula to find exactly when the number of infected students reaches 100.
(c)
There are 1,094 students currently living in the dorms. Suppose ultimately 250 students catch the flu. According to your equation, when would that happen? Show how to solve your equation.
(d)
It is not realistic to expect that everyone living in the dorms will catch the flu, but what does the equation say? Set up and solve an equation to find when all 1,094 students would have the flu. (Again, this is not realistic.)

3.

Bunnies, bunnies, everywhere. Earlier we found the equation
\begin{equation*} B = 1{,}800 \ast 1.13^T \end{equation*}
where \(B\) is the number of bunnies and \(T\) is the time in years since 2007. (Story also appears in 0.8.3.a and 2.2.2)
(a)
Make a table showing the number of bunnies in 2007, 2010, 2013, and 2020.
(b)
Draw a graph showing how the bunny population grew.
(c)
Approximately when will the population pass 5,000 bunnies? Guess from the graph. Then refine your answer using successive approximation.
(d)
Solve your equation and check that you get the same answer.

4.

Carbon dioxide is a greenhouse gas in our atmosphere. Increasing carbon dioxide concentrations are related to global climate change. In 1980, the carbon dioxide concentration was 338 ppm (parts per million). At that time it was assumed that carbon dioxide concentrations would increase 0.42% per year.
(a)
Name the variables including units.
(b)
Assuming the growth is exponential as predicted, write an equation that describes the increase in carbon dioxide concentrations.
(c)
The carbon dioxide concentration in 2008 was 385 ppm. Is that count higher or lower than predicted from your equation? Explain.
(d)
Does that mean that carbon dioxide increased at a higher or lower rate than 0.42%? Explain.

5.

Use the equation from this section for the value of the sterling silverware to determine when the sterling was first worth over $5,000.
(a)
First, estimate the answer from our table and graph.
(b)
Next, use successive approximation to refine your answer. Display your work in a table.

6.

Mrs. Nystrom’s Social Security benefit was $746.17/month when she retired from teaching in 2009. She had taught in elementary school since I was a girl. Benefits have increased by 4% per year.
(Story also appears in 0.2.5, 1.1.7 and 1.2.8)
(a)
Name the variables and write an equation relating them.
(b)
Use your equation to estimate her benefit in the year 2020.
(c)
Set up and solve an equation to determine when her benefit will pass $900/month.
(d)
Repeat for $1,000/month.

7.

The number of players of a wildly popular mobile app drawing game has been growing exponentially according to the equation
\begin{equation*} N = 2 \ast 1.57^W \end{equation*}
where \(N\) is the number of players (in millions) and \(W\) is the number of weeks since it caught on.
(Story also appears in 5.3.4.c)
(a)
Make a table showing the number of players after 0 weeks, 2 weeks, 4 weeks, and 6 weeks.
(b)
Use successive approximation to determine when there will be over 60 million players. Round your answer to the nearest week.
(c)
Show how to solve the equation to determine when there will be over 60 million players. Record your answer to two decimal places.
(d)
Use your answer to (a), (b), and (c) to graph the function.

8.

In 2006 there were about 5.2 million people living in the state of Minnesota. Predicted growth rates vary, perhaps around 0.5% per year.
(a)
What is the annual growth factor? Careful, the growth rate is 0.5%.
(b)
Based on these figures, about how many people will be living in the state of Minnesota in 2010? In 2020?
(c)
Write an equation showing how Minnesota’s population is a function of the year. Don’t forget to name the variables.
(d)
Make a table of values showing the projected population every two years from 2006 to 2020.
(e)
Draw a graph illustrating the dependence.
(f)
Set up and solve an equation to determine when Minnesota’s population is expected to be double the population from 2006.

9.

Um Archivo data consultant group reported earnings of $42.7 billion in 2012. At that time executives projected 17% increase in earnings annually. Based on that information, we wrote the equation
\begin{equation*} U = 42.7 \ast 1.17^Y \end{equation*}
where \(U\) is Um Archivo’s reported earnings (in $billions) and \(Y\) is the years since 2012.
(Story also appears in 2.2.7)
(a)
According to your equation, in what year would Um Archivo’s reported earnings pass $60 billion? Set up and solve an equation. Then check your answer.
(b)
Repeat for $100 billion.

10.

In 1990 it was estimated that 2.5 million households watched reality television at least once a week. Executives predicted that number would increase by 7.2% each year. According to their estimates, how many millions of households watched reality television in 2000? In 2010? As part of your work, name the variables, find the annual growth factor, and write an exponential equation modeling reality television viewing.
(Story also appears in 5.3.4.a)