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5. Applications of Exponential and Logarithmic Functions
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Chapter 5
5. 

Applications of Exponential and Logarithmic Functions

Exponential and logarithmic functions are not just abstract concepts; they have tangible applications in various fields. This lesson unveils the intricate ways these functions manifest in real-life situations. For instance, they play a crucial role in understanding phenomena like population growth, radioactive decay, and financial modeling. When we use exponential and logarithmic models, they offer a lens to predict and analyze these scenarios with greater accuracy. By embracing the practical implications of these mathematical tools, one gains a clearer perspective on the underlying mechanisms that drive numerous processes in our world.
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9 Theory slides
10 Exercises - Grade E - A
Each lesson is meant to take 1-2 classroom sessions
Applications of Exponential and Logarithmic Functions
Slide of 9
This lesson will work with real-life applications of exponential and logarithmic functions.

Catch-Up and Review

Here are a few recommended readings before getting started with this lesson.

Explore

Graphing in the (x,ln y) Coordinate Plane

Exponential functions have nonlinear graphs. In the diagram, the graph of y=2^x and some of its points are shown.

The graph of the exponential function and some points on it
Consider transforming these points into a different coordinate plane, where the horizontal axis represents the variable x and the vertical axis represents ln y. To do so, manipulate y=2^x to find a rule for ln y, then make a table of values for values of x between - 2 and 2. Finally, locate the points in the following (x,ln y) coordinate plane to draw the graph.
line on the (x,ln y) coordinate plane
Identify the shape of the curve. When any exponential function is drawn on this coordinate plane, does a similar curve occur?
Example

Tables, Logarithmic Models, and Exponential Models

Heichi and Ignacio are good friends. However, when it comes to mathematics, they are pretty competitive. Neither Heichi nor Ignacio admits that the other person might be more knowledgeable in math.

Instead of letting this silly argument go, they decide to duel! They will challenge each other by asking one math question to the other.

a Ignacio presents a table that corresponds to the logarithmic function y=3-5 ln x.
x y
1 3
2 ≈ - 0.47
3 ≈ - 2.49
4 ≈ - 3.93
5 ≈ - 5.05
Ignacio says it is impossible to find a logarithmic model of the form x=a+b ln y for this table. Heichi quickly counters, "It is totally possible." Ignacio replies, "Huh? That is bananas. No way, Heichi." Who is correct?
b Heichi, waiting for this moment to outsmart Ignacio, pulls out the following table from his notebook.
x y
1 1k
2 2k
3 4k
4 8k
5 16k
Assuming that k is a positive number, Heichi challenges Ignacio to write y as an exponential function of x in its simplest form. Help Ignacio solve Heichi's challenge!

Hint

a Isolate the variable x. What type of function is the resulting function?
b What is the constant multiplier between consecutive y-values?

Solution

a To find out who is correct, the x-variable will be isolated. Start by using inverse operations to isolate the natural logarithm.
y=3-5ln x
Solve for ln x
y-3=- 5ln x
y-3/- 5=ln x
ln x=y-3/- 5
Now, use the definition of a natural logarithm to isolate x. ln x=y-3/- 5 ⇔ x=e^(y-3- 5) When y is the independent variable and x the dependent variable, an exponential function is obtained. Exponential Function [0.5em] x=e^(y-3- 5) Therefore, it is not possible to find a logarithmic model when y is the independent variable and x the dependent variable. This means that a logarithmic model of the form x=a+bln y is not possible for this table. Ignacio is correct.
b Paying close attention to the y-values of the table, a constant multiplier can be identified.
constant multiplier

It is seen that the constant multiplier is 2. Also, the initial value is 1k, or just k. With this information, an exponential function can be written. y= k( 2)^(x-1) Ignacio pats himself on the back.

Example

Carbon 14 in Vegetables

Heichi is upset that he lost to Ignacio in the last round. He decides to take a breather and turn to his favorite science book to practice some other problems. Here is one of his favorite topics: It is estimated that a preserved vegetable contains about 1 microgram (a millionth of a gram) of Carbon 14.

PlantFossil.jpeg

The amount of Carbon 14 in the preserved vegetable can be modeled by the following exponential function. C(t)=I (1/2)^(t5500) Here, t is the time in years that has passed since the vegetable's death, and I is the amount of Carbon 14 present in the vegetable at death, measured in micrograms. Heichi, feeling good about seeing a familiar topic, dives into solving the following problems.

a If the vegetable died 2000 years ago, how much Carbon 14 was present in the living vegetable? Round the answer to two decimal places.
b If the vegetable died 10 000 years ago, how much Carbon 14 was present in the living vegetable? Round the answer to two decimal places.
c The amount it takes for half of the Carbon 14 to decay is called its half-life. What half-life does the expression for the given function C(t) imply for Carbon 14?

Hint

a Substitute 2000 for t in the given function.
b Substitute 10 000 for t in the given function.
c The initial amount of Carbon 14 is I. Therefore, half the initial amount is I2.

Solution

a It is known that there is 1 microgram of Carbon 14 present in a vegetable that died 2000 years ago. To calculate how much Carbon 14 was present in the living vegetable, 2000 will be substituted for t and 1 will be substituted for C(2000). Then, the equation can be solved for I.
C(t)=I (1/2)^(t5500)
C( 2000)=I (1/2)^(20005500)
1=I (1/2)^(20005500)
Solve for I
1=I (1/2)^(411)
1=I (1/2^(411))
2^(411)=I(1)
2^(411)=I
I=2^(411)
I=1.286664...
I≈ 1.29
Therefore, about 1.29 micrograms of Carbon 14 were present in the living vegetable.
b Similar to Part A, it is known that there is 1 microgram of Carbon 14 present in a vegetable that died 10 000 years ago. This sentence can also be expressed mathematically.

C(10 000)=1

With this information, the amount of Carbon 14 that was present in the living vegetable I can be found by substituting 10 000 for t and 1 for C(10 000).
C(t)=I (1/2)^(t5500)
C( 10 000)=I (1/2)^(10 0005500)
1=I (1/2)^(10 0005500)
Solve for I
1=I (1/2)^(2011)
1=I (1/2^(2011))
2^(2011)=I(1)
2^(2011)=I
I = 2^(2011)
I = 3.526365...
I≈ 3.53
Therefore, about 3.53 micrograms of Carbon 14 were present in the living vegetable.
c Half the initial amount of Carbon 14 present in the vegetable is I2. Therefore, the half-life of Carbon 14 present in the vegetable can be found by substituting I2 for C(t), and isolating the variable t.
C(t)=I (1/2)^(t5500)
I/2=I (1/2)^(t5500)
1/2=(1/2)^(t5500)

a=a^1

(1/2)^1=(1/2)^(t5500)
Next, the Property of Equality for Exponential Equations can be used. (1/2)^1=(1/2)^(t5500) ⇔ 1=t/5500 Finally, the value of t can be found by multiplying both sides of the obtained equation by 5500. 1=t/5500 ⇔ t=5500 Therefore, the half-life of Carbon 14 implied by the given function is 5500 years. Heichi is feeling re-energized after solving for these solutions.
Example

Uranium 238

Ignacio, feeling good about showing his prowess in math, goes to explore the chemistry lab. He sees none other than Heichi studying. Heichi invites Ignacio to see that Uranium 238 is the most common isotope of uranium found in nature. It also has many applications in nuclear technology. Uranium 238 decays exponentially and its half-life is about 4.5 billion years.

Uranium238.jpeg

Ignacio feels a sense of joy that Heichi has shown him this.

a Heichi, unable to control his competitive urge, metaphorically flips the tables and once again challenges Ignacio. "Write an exponential function expressing how much Uranium 238 remains after t billion years if the initial sample size is 40 grams. If you can!"
b Ignacio will not be taken down so easily. He asks Heichi which of the following graphs, in the context of this situation, corresponds to the function found in Part A.
graphs
Help Heichi determine the graph!

Hint

a Knowing that the uranium decays exponentially, the general equation for the remaining amount of uranium 238 after t billion years is U(t)=ae^(- kt), where a and k are positive numbers.
b Graph the function and compare it with the given choices. What is the y-intercept of the graph if the initial sample size is 40?

Solution

a Let U(t) be the amount of uranium 238 left from the sample, in grams, after t billions years. Knowing that the uranium decays exponentially, a general equation can be written.
U(t)=ae^(- kt) Here, a and c are positive real numbers, where a is the initial amount. Since the initial sample size is 40 grams, a=40. U(t)=40e^(- kt) Furthermore, the half-life of uranium 238 is 4.5 billion years. Therefore, U(4.5) is equal to 402=20. With this information, starting with substitution, the value of k can be found.
U(t)=40e^(- kt)
U( 4.5)=40e^(- k( 4.5))
20=40e^(- k(4.5))
20/40=e^(- k(4.5))
1/2=e^(- k(4.5))
1/2=e^(- 4.5k)
Now the definition of a natural logarithm can be applied to remove the variable from the exponent. 1/2=e^(- 4.5k) ⇔ ln 1/2=- 4.5k Finally, the value of k can be found by dividing both sides of the obtained equation by - 4.5. ln 1/2=- 4.5k ⇔ k≈ 0.154 Now that the value of k was found, the desired function can be written. U(t)=40e^(- 0.145t) Ignacio, once again, feels he has defeated Heichi's challenge. But wait! Heichi points out there is a mistake in Ignacio's calculation. The value of k is approximately 0.154, as found before, and not 0.145, as Ignacio wrote in the function rule. This means that the following is the desired function. U(t)=40e^(- 0.154t) Ignacio gasps in despair, as Heichi gloats.
b It is now Heichi's turn to take on Ignacio's challenge to draw the graph of the function U(t)=40e^(- 0.154t). To do this, Heichi will make a table of values. Since time cannot be negative, only non-negative values of t will be considered.
x 40e^(- 0.154t) y
0 40e^(- 0.154( 0)) 40
2 40e^(- 0.154( 2)) ≈ 29.4
4 40e^(- 0.154( 4)) ≈ 21.6
6 40e^(- 0.154( 6)) ≈ 15.9
8 40e^(- 0.154( 8)) ≈ 11.7
10 40e^(- 0.154( 10)) ≈ 8.6
Now, the points can be plotted and connected with a smooth curve. Recall that t cannot take negative values. Therefore, the negative part of the horizontal axis will not be considered.
graph of exponential funtion
This graph corresponds to choice A. Heichi answered correctly. He shrugs his shoulders and is ready to crown himself as the champion of Math.
Example

Modeling a Village's Population

Ignacio and Heichi see that this competition has turned ugly. They make a truce and decide to team up in studying for a geography test — together, as buddies.

WorldGamze.png

However, the formulas did not allow the rivalry between Ignacio and Heichi to fade. While learning the concepts related to population, they find out that the population P of a small village in the north of Argentina is modeled by an exponential function. P(t)=500(1.04)^(2t) Here, t is the time in years that has passed since the foundation of the village in the year 2020. Heichi and Ignacio cannot help themselves and start challenging each other.

a Ignacio says that by the year 2050 the population, rounded to the nearest integer, will be about 5260 people. Is this true or false?
b Heichi wants to find the year in which the population will be 3037 people, but does not know how to do it. Help Heichi find this year before Ignacio realizes that he cannot find the answer! Round the answer to the nearest integer.

Hint

a How many years are there between 2020 and 2050?
b Substitute 3037 for P(t) and solve for t. Then, add this value to 2020.

Solution

a To determine whether Ignacio is correct, the population in the village for the year 2050 will be calculated. To do so, the difference between 2050 and 2020 needs to be found.
2050-2020=30years Next, t=30 will be substituted into the given equation.
P(t)=500(1.04)^(2t)
P( 30)=500(1.04)^(2( 30))
Evaluate right-hand side
P(30)=500(1.04)^(60)
P(30)=5259.813704
P(30)≈ 5260
The population of the village by the year 2050 will be about 5260 people. Therefore, Ignacio is correct. His eyes are gleaming with pride.
b To determine the year in which the population of the village will be about 3037 people, this number will be substituted for P(t). Then, the variable t will be isolated.
P(t)=500(1.04)^(2t)
3037=500(1.04)^(2t)
3037/500=(1.04)^(2t)
6.074=(1.04)^(2t)
Now, to eliminate the t from the exponent, the definition of a logarithm can be used. 6.074=(1.04)^(2t) ⇕ log_(1.04) 6.074 =2t Next, the Change of Base Formula will be used to find the value of t.
log_(1.04) 6.074 =2t

log_c a = log_b a/log_b c

log 6.074/log 1.04 =2t
Solve for t
45.996546... =2t
22.998273... =t
t=22.998273...
t≈ 23
The population of the village will be 3037 people about 23 years after its foundation. This is in the year 2020+23=2043. That was super close — Ignacio almost noticed Heichi's struggle but not before Heichi found the solution.
Discussion

Relation Between Exponential and Linear Models

Recall the exploration seen at the beginning. In general, a set of more than two points (x,y) fits an exponential model if and only if the set of transformed points (x,ln y) fits a linear model. For example, consider the following function. y=2^x This function can be graphed on an (x,y) coordinate plane.

exponential curve
Now, considering the given function, natural logarithms can be taken on both sides of the equation. Then, to simplify, the Power Property of Logarithms can be used.
y=2^x

ln(LHS)=ln(RHS)

ln y=ln 2^x

ln(a^b)= b*ln(a)

ln y=xln 2
Next, ln y=x ln 2 will be graphed on an (x,ln y) coordinate plane. To do this, a table of values will be constructed.
x x ln 2 ln y=xln 2
- 2 - 2ln 2 ≈ - 1.39
- 1 - 1ln 2 ≈ - 0.69
0 0ln 2 0
1 1ln 2 ≈ 0.69
2 2ln 2 ≈ 1.39
Now, the points found in the table can be plotted and connected on an (x,ln y) coordinate plane.
ln y = x ln 2
While the graph of y=2^x is an exponential curve in the (x,y) plane, the graph of ln y=xln 2 is a straight line in the (x,ln y) plane. It is worth noting that, in the (x,ln y) plane, the equation of a line is ln y=mx+b, where m is the slope and b the y-intercept.
Example

Visual Near Point

Heichi realizes that he might not be as great at math as Ignacio. To regain some confidence, he tells Ignacio that Ignacio's eyesight will worsen over time. "How can you prove that, Heichi?" asks Ignacio. "The visual near point of a person is the closest point at which an object can be placed and distinctly be observed by the person, and it varies with age," proudly states Heichi.
visual near point distances
Ignacio admits his interest in the topic. He decides to learn more and wants to create a scatter plot for the data pairs (x,ln y), where x is the age in years and y the distance of the visual near point in centimeters. Then, he needs to write an exponential model for the original data pairs (x,y). Give Ignacio a hand.

Answer

Scatter Plot:

answer

Example Exponential Model: y=4.137(1.054)^x

Hint

To create the scatter plot make a table of values and plot the obtained points on an (x,ln y) coordinate plane. To write the exponential model use any two of the obtained points.

Solution

To make the scatter plot, a table of data pairs (x,ln y) will be created using the given information.

x y ln y
20 12 ln 12≈ 2.48
30 15 ln 15≈ 2.71
40 25 ln 25≈ 3.22
50 40 ln 40≈ 3.69
60 100 ln 100≈ 4.61

Next, the obtained points will be plotted on an (x,ln y) coordinate plane. Since all the values are positive, only the first quadrant will be considered.

obtained points

The points are not collinear. However, they lie close to a straight line. Consider the line passing through the first and last points.

line of fit
Since the set of points (x,ln y) fits a linear model, an exponential model should be a good fit for the original data. Now recall the slope-intercept form of a line to write the equation for the line of fit. Remember that, in this case, the dependent variable is ln y, therefore the form of the equation should be as follows. ln y=mx+b Two points can be used to find the slope m. The points (20,ln 12) and (60,ln 100) can be substituted in the Slope Formula.
m=ln y_2-ln y_1/x_2-x_1
m=ln 100- ln 12/60- 20
Evaluate right-hand side

ln(a) - ln(b)=ln(a/b)

m=ln 10012/60-20
m=ln 10012/40
m=0.053006...
m≈ 0.053
Knowing that the slope is about 0.053, a partial equation of the line can be written. ln y=0.053x+b To find the value of b, the intersection with the vertical axis, a point must be used. For simplicity, choose the first point of the table.
ln y=0.053x+b
ln y=0.053( 20)+b

ln y ≈ 2.48

2.48≈ 0.053(20)+b
Solve for b
2.48≈ 1.06+b
1.42≈ b
b≈ 1.42
The equation of the line can now be written. ln y=0.053x+1.42 Finally, to find the exponential model that represents the original data, the variable y must be isolated. To do so, the definition of a natural logarithm will be used. ln y=0.053x+1.42 ⇕ y=e^(0.053x+1.42) To simplify the obtained equation, the Product of Powers Property and the Power of a Power Property will be used.
y=e^(0.053x+1.42)
Simplify right-hand side
y=e^(0.053x)e^(1.42)
y=e^(1.42)e^(0.053x)
y=e^(1.42)(e^(0.053))^x
y=4.137120...(1.054429...)^x
y=4.137(1.054)^x
Note that this is only an example exponential model. If any two other points are used, a different model will be obtained. Ignacio is happy to have solved this and has regained some trust in Heichi's math knowledge. Heichi, too, feels good about sharing a topic of interest with his friend.
Closure

Using Technology

While it is extremely impressive to do math by hand, an exponential model for the last example can also be found by using a graphing calculator. Recall the given data points.

x y
20 12
30 15
40 25
50 40
60 100

It was previously discussed that if graphing the data points in the form (x, ln y) results in a linear pattern, then an exponential function is a good model for the data points in the form (x,y). To find the equation of the exponential model using a graphing calculator, press STAT, choose EDIT, and enter the values in the first two columns, L1 and L2.

Now, to find the values of ln y, place the cursor in the heading of L3 and press LN. After that, press 2ND, and then 2 before finally closing the parentheses. By pressing ENTER, L3 will be filled automatically with the corresponding values for ln y.

Having entered the values, they can be plotted in a scatter plot by pressing 2nd and Y=. Then, choose one of the plots in the list. Make sure to turn the desired plot ON. Choose the type to be a scatterplot, and assign L1 and L3 as XList and YList, respectively. Any mark can be picked.

After this, press GRAPH. If needed, the scale and the minimum and maximum x- and y-values can be adjusted by pressing WINDOW.

The points approximate a line. Therefore, an exponential function is an appropriate model. The best fitting exponential function for the given data can be found by performing an exponential regression. To do this press STAT, and from the CALC menu choose the exponential regression option.

Here, a≈ 3.5 and b≈ 1.054, rounded to three decimal places. With this information, the exponential function can be written. y=3.5(1.054)^x

Note that the value of a is not the same as in the last example, but the value of b is exactly the same.


Applications of Exponential and Logarithmic Functions
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