| {{ 'ml-lesson-number-slides' | message : article.intro.bblockCount }} |
| {{ 'ml-lesson-number-exercises' | message : article.intro.exerciseCount }} |
| {{ 'ml-lesson-time-estimation' | message }} |
Here are a few recommended readings before getting started with this lesson.
Exponential functions have nonlinear graphs. In the diagram, the graph of y=2x and some of its points are shown.
Consider transforming these points into a different coordinate plane, where the horizontal axis represents the variable x and the vertical axis represents lny. To do so, manipulate y=2x to find a rule for lny, then make a table of values for values of x between -2 and 2. Finally, locate the points in the following (x,lny) coordinate plane to draw the graph.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.
x | y |
---|---|
1 | 3 |
2 | ≈-0.47 |
3 | ≈-2.49 |
4 | ≈-3.93 |
5 | ≈-5.05 |
x | y |
---|---|
1 | 1k |
2 | 2k |
3 | 4k |
4 | 8k |
5 | 16k |
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.
The amount of Carbon 14 in the preserved vegetable can be modeled by the following exponential function.t=2000
C(2000)=1
ba=b/500a/500
(ba)m=bmam
LHS⋅2114=RHS⋅2114
Identity Property of Multiplication
Rearrange equation
Use a calculator
Round to 2 decimal place(s)
t=10000
C(10000)=1
ba=b/500a/500
(ba)m=bmam
LHS⋅21120=RHS⋅21120
Identity Property of Multiplication
Rearrange equation
Use a calculator
Round to 2 decimal place(s)
C(t)=2I
LHS/I=RHS/I
a=a1
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.
Ignacio feels a sense of joy that Heichi has shown him this.
t=4.5
U(4.5)=20
LHS/40=RHS/40
ba=b/20a/20
(-a)b=-ab
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 |
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.
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)=3037
LHS/500=RHS/500
Use a calculator
logca=logbclogba
Use a calculator
LHS/2=RHS/2
Rearrange equation
Round to nearest integer
ln(LHS)=ln(RHS)
ln(ab)=b⋅ln(a)
x | xln2 | lny=xln2 |
---|---|---|
-2 | -2ln2 | ≈-1.39 |
-1 | -1ln2 | ≈-0.69 |
0 | 0ln2 | 0 |
1 | 1ln2 | ≈0.69 |
2 | 2ln2 | ≈1.39 |
Scatter Plot:
Example Exponential Model: y=4.137(1.054)x
To create the scatter plot make a table of values and plot the obtained points on an (x,lny) coordinate plane. To write the exponential model use any two of the obtained points.
To make the scatter plot, a table of data pairs (x,lny) will be created using the given information.
x | y | lny |
---|---|---|
20 | 12 | ln12≈2.48 |
30 | 15 | ln15≈2.71 |
40 | 25 | ln25≈3.22 |
50 | 40 | ln40≈3.69 |
60 | 100 | ln100≈4.61 |
Next, the obtained points will be plotted on an (x,lny) coordinate plane. Since all the values are positive, only the first quadrant will be considered.
The points are not collinear. However, they lie close to a straight line. Consider the line passing through the first and last points.
Since the set of points (x,lny) 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 lny, therefore the form of the equation should be as follows.am+n=am⋅an
Commutative Property of Multiplication
am⋅n=(am)n
Use a calculator
Round to 3 decimal place(s)
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,lny) 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 lny, 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 lny.
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.