Aniko

Exponential models, transformations, and Log Mode

Lesson progressPractice problems 0/5

Read interval factors and shifts, compare equivalent exponential forms, solve for a target value by graphing both sides, and use automatic Log Mode with suitable data.

Difficulty
Advanced
Estimated time
75 minutes

What you’ll learn

  1. Read a shifted, stretched exponential model like c+ab(x−h)/kc+ab^{(x-h)/k} one piece at a time.
  2. Find its reference input and its baseline, and how much it multiplies by over each interval and over each single unit.
  3. Turn a growth or decay multiplier into a percent change.
  4. Spot the equivalent answer choice by full-curve overlap, and rewrite a model by hand when a question needs the exact form.
  5. Find when a model reaches a target by graphing both sides.
  6. Tell automatic Log Mode apart from ordinary nonlinear regression.

Why this matters on the SAT

Read the multiplier the exponent actually describes

In SAT exponential models, the most useful facts often hide in the exponent. A base might describe the change every 55 minutes, not every minute. And a number added on the end can mean the base multiplies only the amount above that number, not the whole output.

SAT example

After a ventilation system is turned on, the estimated concentration of a gas in a parking garage is modeled by

y=48(0.84)x−105+7,y=48(0.84)^{\frac{x-10}{5}}+7,

where yy is the concentration, in parts per million, and xx is the number of minutes after the system is turned on, with x≥10x\ge10.

For each increase of 11 minute in xx, the amount by which the concentration exceeds 77 parts per million is multiplied by a constant factor. Which choice is closest to that factor?

Answer choices

Fast Desmos solution

Start with the +7+7. It's a baseline, so the multiplier works on the amount above 77, which is y−7y-7. That's exactly the amount the question asks about.

Next, look at the exponent. It's divided by 55, so 0.840.84 is the multiplier for every 55 minutes, not every minute. Five one-minute steps have to multiply out to 0.840.84, so the one-minute multiplier is the fifth root:

0.841/5.0.84^{1/5}.

Type 0.84^(1/5) into Desmos:

0.841/5≈0.9657.0.84^{1/5}\approx0.9657.

That's closest to 0.970.97, so the answer is C.

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Each minute, 0.84^(1/5) multiplies only the amount above the baseline of 7, not the whole concentration.

Choose the job before the tool

First ask what the question hands you: a model you can use as it is, or data you still have to fit a model to.

The question gives you the model

  • When it asks for an output, a multiplier, or a percent, evaluate the model directly, like typing f(3) for f(x)=200(1.05)xf(x)=200(1.05)^x.

  • When the unknown sits in the exponent, as in 120(0.85)t/4=50120(0.85)^{t/4}=50, and the powers don’t match up easily, graph both sides and read where they meet.

  • When the answer choices are possible equivalent forms of an expression in xx, graph the original and find the choice whose graph lies right on top of it along the whole visible curve. That’s full-curve overlap.

The question gives you data

  • When a table gives several inputs and outputs, and either the question points to an exponential model or each output is about the same multiple of the one before, run exponential regression.

  • When the values were measured and rounded, trust the base the regression finds, because it uses the whole table and not just one pair of rounded numbers.

Sometimes a line of algebra beats Desmos: when both sides already share a base, as in 2x+1=252^{x+1}=2^5, when a ratio you can see gives the answer, or when the question wants an exact form and has no answer choices to test.

Regression finds the unknown numbers in a model, its parameters, from a table or a few given facts. If the question already gives you the whole function, there’s nothing left to find.

Check your understanding:

One question gives P(t)=300(1.04)tP(t)=300(1.04)^t and asks for P(6)P(6). Another gives five measured pairs and says an exponential model is appropriate. Which Desmos method would you use for each?

Read every layer of the model

The general form of these models has five letters, and that's a lot to take in at once. So let's start with numbers. Here's the gas model from the SAT example again:

y=48(0.84)x−105+7.y=48(0.84)^{\frac{x-10}{5}}+7.

Take it one number at a time:

  • The 1010. At x=10x=10, the exponent is 10−105=0\frac{10-10}{5}=0, and any base to the power 00 is 11. So the model starts counting at minute 1010.
  • The +7+7. It's added after the power, so no multiplier ever touches it. Think of it as a fixed level the rest of the model sits on.
  • The 4848. At x=10x=10, the concentration is 7+48=557+48=55 parts per million, which is 4848 above that level.
  • The 55. The exponent goes up by 11 each time xx goes up by 55. So the model takes steps of 55 minutes.
  • The 0.840.84. Each 55-minute step multiplies the amount above 77 by 0.840.84.

Now the same thing with letters. The general form is

f(x)=c+abx−hk,f(x)=c+ab^{\frac{x-h}{k}},

where k>0k>0, b>0b>0, and b≠1b\ne1. Each letter does the job you just saw:

  • hh is the reference input (1010 above). At x=hx=h, the exponent is 00.
  • cc is the baseline (77 above), a fixed amount added to the exponential part.
  • aa tells you how far the graph is from the baseline at x=hx=h (4848 above), because f(h)=c+af(h)=c+a. A positive aa puts the graph above the baseline there. A negative aa puts it below, and the distance is ∣a∣\lvert a\rvert.
  • kk is the interval (55 above). Each time xx grows by kk, the exponent grows by 11.
  • bb is the multiplier for each interval (0.840.84 above). It multiplies f(x)−cf(x)-c, the gap between the graph and the baseline.

The signs of aa and bb tell you which way the graph goes. In the gas model, a=48a=48 is positive and b=0.84b=0.84 is less than 11. So the part above 77 keeps shrinking, and the graph levels off toward the line y=7y=7, its horizontal asymptote. In general, when a>0a>0 and 0<b<10<b<1, the graph levels off toward y=cy=c.

Change the base to 1.21.2 and keep a=48a=48. Now the part above the baseline, f(x)−cf(x)-c, grows each step instead. That's the case a>0a>0 and b>1b>1.

Now make aa negative too, as in 7−48(1.2)x−1057-48(1.2)^{\frac{x-10}{5}}. The graph starts 4848 below the baseline, at −41-41, and each step multiplies that distance by 1.21.2. So when a<0a<0 and b>1b>1, the distance from the baseline, ∣f(x)−c∣\lvert f(x)-c\rvert, still grows, but the graph heads downward.

Check your understanding:

The function p(t)=50(0.6)t/5p(t)=50(0.6)^{t/5} models a mass in milligrams after tt days. What does the factor 0.60.6 mean?

Common mistake:

In c+ab(x−h)/kc+ab^{(x-h)/k}, the base multiplies only the exponential part, f(x)−cf(x)-c. The baseline cc never gets multiplied. In the gas model, 55 minutes after x=10x=10, the amount above 77 goes from 4848 to 48(0.84)=40.3248(0.84)=40.32, so y=47.32y=47.32. Multiplying the whole 5555 by 0.840.84 would give 46.246.2 instead, which is wrong.

Convert an interval factor into a per-unit factor

Say bb is the multiplier for every kk input units. What multiplier rr, used once per unit, gives the same change? After kk one-unit steps, you've multiplied by rr a total of kk times, which is rkr^k, and that has to equal bb. So rr is the kkth root of bb:

r=b1/k.r=b^{1/k}.

You can check that it works:

rk=(b1/k)k=b,r^k=\left(b^{1/k}\right)^k=b,

so the two agree over the whole interval.

Back to the mass from the quick check,

p(t)=50(0.6)t/5.p(t)=50(0.6)^{t/5}.

The per-day multiplier is

0.61/5≈0.9029.0.6^{1/5}\approx0.9029.

So about 90.29%90.29\% of the mass is left after each day, and the mass drops by about

100(1−0.9029)%=9.71%100(1-0.9029)\%=9.71\%

per day.

To turn any multiplier rr into a percent change, compare it with 11:

growth percent=100(r−1)%,r>1,decay percent=100(1−r)%,0<r<1.\begin{aligned} \text{growth percent}&=100(r-1)\%, && r>1,\\[1.4em] \text{decay percent}&=100(1-r)\%, && 0<r<1. \end{aligned}
Check your understanding:

A population is multiplied by 1.441.44 every 2 hours. What is the hourly multiplier, and what is the hourly percent increase?

Common mistake:

Say a population grows 21%21\% every 22 hours. Splitting that into 10.5%10.5\% an hour sounds reasonable, but growth compounds: two hours at 10.5%10.5\% gives 1.1052≈1.2211.105^2\approx1.221, more than 1.211.21. Turn the percent into a multiplier first, then take the root that matches the interval. Here 1.211/2=1.11.21^{1/2}=1.1, so the growth is 10%10\% an hour.

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The fifth root turns the five-day factor into a one-day factor. The second line turns that into the daily percent decrease.

Choose an equivalent form by full-curve overlap

The same exponential can be written in different forms, and each form shows you something different. The transformed form

abx−hk+ca b^{\frac{x-h}{k}}+c

shows the reference input, the interval length, and the baseline. The standard form

A⋅Bx+cA\cdot B^x+c

shows the per-unit multiplier BB.

When a multiple-choice question in one variable asks which form is equivalent, let the answer choices do the work. Put the original on one line and leave it alone. Put one choice on a second line, and edit only that line to try each choice in turn. The choice whose graph lies on top of the original along the whole visible curve is the answer. That's full-curve overlap, and it's the fastest reliable way through these questions.

Rewrite with exponent rules instead when there are no answer choices, when the question wants the exact form written out, or when you'd like a quick confirmation.

Here's how the rewrite goes in general:

c+abx−hk=c+ab−h/k(b1/k)x=c+A⋅Bx,\begin{aligned} c+ab^{\frac{x-h}{k}} &=c+ab^{-h/k}\left(b^{1/k}\right)^x\\[1.4em] &=c+A\cdot B^x, \end{aligned}

where

A=ab−h/kandB=b1/k.A=ab^{-h/k} \qquad\text{and}\qquad B=b^{1/k}.

The shift cc doesn't change, and the new base BB is the per-unit multiplier.

Worked example

Consider

F(t)=72⋅9t−22.F(t)=72\cdot9^{\frac{t-2}{2}}.

Which choice is equivalent to F(t)F(t)?

  1. A

    8⋅3t8\cdot3^t

  2. B

    8⋅9t8\cdot9^t

  3. C

    24⋅3t24\cdot3^t

  4. D

    72⋅3t72\cdot3^t

Desmos draws y=y= graphs against xx, so first swap the problem's tt for xx, in the original and in every choice. Keep y=72*9^((x-2)/2) on line 1. Type choice A as y=8*3^x on line 2, then edit only line 2 to try the others. Choice A lies on the original along the whole visible curve, so the answer is A.

Now try choice B, y=8*9^x. It meets the original at x=0x=0, where both equal 88, but to the right of that point it climbs much faster. That's why you check the whole curve: two different expressions can meet at one point without being equivalent.

The algebra is short here, so you can also confirm it exactly:

72⋅9t−22=72⋅(32)t−22=72⋅3t−2=72⋅3t9=8⋅3t.\begin{aligned} 72\cdot9^{\frac{t-2}{2}} &=72\cdot\left(3^2\right)^{\frac{t-2}{2}}\\[1.4em] &=72\cdot3^{t-2}\\[1.4em] &=72\cdot\frac{3^t}{9}\\[1.4em] &=8\cdot3^t. \end{aligned}

Both forms describe the same curve in different ways. The transformed form says the output is multiplied by 99 every 22 input units. The standard form says it's multiplied by 33 every unit, and two steps of 33 make 99.

Check your understanding:

Rewrite 40⋅25(x−2)/240\cdot25^{(x-2)/2} in the form A⋅BxA\cdot B^x.

Common mistake:

The subtraction and the division in b(x−h)/kb^{(x-h)/k} both live inside the exponent. So 9(t−2)/29^{(t-2)/2} isn’t 9t−29^t-2 divided by 22. Split the exponent first, t−22=t2−1\frac{t-2}{2}=\frac t2-1, then apply exponent rules to the whole power: 9t/2−1=3t99^{t/2-1}=\frac{3^t}{9}.

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Choice A lies right on top of the original. Leave line 1 alone and edit only line 2 to try choices B, C, and D.

Solve an exponential target by graphing both sides

When the unknown is in an exponent, graph the model and the target on separate lines. Where they meet, the model's output equals the target, and the input there is your answer.

Say

M(t)=120(0.85)t/4M(t)=120(0.85)^{t/4}

models a mass in grams after tt hours, and you want to know when the mass reaches 5050 grams. Enter

M(t)=120(0.85)^(t/4)

and

y=50

The graphs meet near

(21.547,50).(21.547,50).

So the mass reaches 5050 grams after about

21.5\boxed{21.5}

hours, to the nearest tenth.

You never needed a logarithm. The point Desmos shows is a decimal, though, so round it and give the units the way the question asks.

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The graphs meet where the mass first reaches the target of 50 grams.
Try it yourself:

Change y=50 to y=40. Before you click the new point, predict: will it move left or right? Then reset the example.

Here's where a correct graph can still lead to a wrong answer. When a question asks for the least whole number that meets or passes a target, don't just round the intersection to the nearest integer. Look at the direction of the inequality, and test the next whole number that's allowed.

Check your understanding:

Look at 200(0.5)t/6=25200(0.5)^{t/6}=25 before you reach for a graph. Is graphing the fastest way here, and what is tt?

Use automatic Log Mode for exponential data

Now for data. Say a table has only positive outputs, and the question tells you, or the numbers show, that the model has the form

y=abx.y=ab^x.

Put the inputs in x_1 and the outputs in y_1, then type

y_1~a*b^(x_1)

Desmos finds the aa and bb that fit the table. In the current College Board testing calculator, an exponential regression like this one runs in Log Mode on its own. You don't switch it on, which is why it's called automatic.

So what is Log Mode? It's a way of fitting, not a separate tool. A straight-line pattern is simpler to fit than a curve, so Desmos takes logarithms, which turns the exponential pattern into a straight-line one. It fits that line, then hands you back aa and bb. You never type a logarithm or change the table yourself.

Try it on this exact table:

x1x_100112233
y1y_19090727257.657.646.0846.08

Log Mode gives

a=90andb=0.8.a=90 \qquad\text{and}\qquad b=0.8.

So the model is

y=90(0.8)x.y=90(0.8)^x.

A base of 0.80.8 means 80%80\% remains at each step, so the output drops by 20%20\% per input interval. You can see it in the table, too: each output is 0.80.8 times the one before.

Try it yourself:

Change the last output from 46.0846.08 to 4545. Will the fitted base land above or below 0.80.8? Predict first, check the result, then reset the table.

Keep in mind that Log Mode only does the fitting. It won't tell you whether an exponential model is the right choice. That call is yours, and it comes from the question, the context, and outputs that keep multiplying by about the same factor.

Log Mode also has limits, and most of them come from those logarithms:

  • Logarithms work only on positive numbers, so every output has to be positive.
  • If even one output is zero or negative, Log Mode can't run. Desmos may still show a fit, but it comes from ordinary nonlinear regression, which adjusts aa and bb directly until the curve sits as close to the points as it can.
  • Taking logarithms of a model like abx+cab^x+c with an unknown cc doesn't give a straight line, so Desmos uses ordinary nonlinear regression for it too.
  • Rounded measurements give you estimates of aa and bb, not exact values.

Later in the course, regression failure modes looks closer at residuals, fit statistics, and exact versus best-fit data.

Check your understanding:

A table has an output of 00, and a student wants to fit y=abxy=ab^x with Log Mode. What should they notice first?

Common mistake:

Log Mode fits a model to table data. It isn’t a command for solving an exponential equation. When you’re given an equation with the unknown in the exponent, graph both sides or match the powers.

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Log Mode fits the positive data with a starting value of 90 and a multiplier of 0.8.

Example: Read the model, graph the target, then find the first whole minute

Worked example

The temperature T(t)T(t), in degrees Celsius, of a liquid tt minutes after cooling begins is modeled by

T(t)=18+72(0.75)t/6.T(t)=18+72(0.75)^{t/6}.

Which choice is the least integer value of tt for which T(t)≤40T(t)\le40?

  1. A

    2424

  2. B

    2525

  3. C

    3030

  4. D

    3131

Step 1

Read the model

The baseline is 1818. At t=0t=0, the exponent is 00, so the liquid starts at

18+72=9018+72=90

degrees Celsius. Every 66 minutes, the amount above 1818 is multiplied by 0.750.75.

Step 2

Graph the model and the target

Enter the model and the target line:

T(t)=18+72(0.75)^(t/6)
y=40

The graphs meet at about

(24.728,40).(24.728,40).
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The graphs meet after minute 24 but before minute 25.

Step 3

Find the first whole minute that works

At t=24t=24, the liquid is still a little too warm:

T(24)=40.78125.T(24)=40.78125.

At t=25t=25, it has cooled past the target:

T(25)≈39.715,T(25)\approx39.715,

so the least integer time with T(t)≤40T(t)\le40 is

25.\boxed{25}.

The answer is B.

Common mistake:

The graphs meet at about 24.724.7, so 2424 is tempting. But at minute 2424 the liquid is still above 4040 degrees. It’s cooling, and it has to be at or below the target, so the first whole minute that works is 2525.

Finish the solution

The measured data are already in the calculator. Add the exponential regression, then use the fitted base to find the percent decrease per interval.

Turn the fitted base into a percent

Finish the solution

A scientist measures a sample once every 44 hours. Let nn be the number of 44-hour intervals after the first measurement.

nn00112233
Mass (milligrams)900900744744620620511511

An exponential model of the form

M(n)=abnM(n)=ab^n

is used to fit the measured data. According to the fitted model, by what percent does the sample's mass decrease every 44 hours, rounded to the nearest tenth of a percent?

First steps

  1. The table is already loaded, with the interval number in x_1 and the mass in y_1.
  2. Enter y_1~a*b^(x_1).
  3. Use the fitted bb directly. Don't retype the decimal Desmos shows.

Finish it

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Add the regression, then turn its fitted base into the percent decrease per 4-hour interval.

Practice problems

Before you calculate, ask what the exponent and the base mean, and whether the question gives you a model or data.

Practice problems

Read an interval factor

Practice problem

The concentration m(t)m(t), in parts per million, of a substance tt days after a treatment begins is modeled by

m(t)=12+80(0.72)t/6.m(t)=12+80(0.72)^{t/6}.

Which choice best describes the meaning of the factor 0.720.72?

Answer choices
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Evaluate the model at inputs 6 apart and compare each output with the baseline of 12.

Choose an equivalent exponential

Practice problem

A company models the amount of data, in gigabytes, stored in an archive after rr weeks with

D(r)=96⋅43r−22.D(r)=96\cdot4^{\frac{3r-2}{2}}.

Which choice gives an equivalent function in the form

D(r)=A⋅Br,D(r)=A\cdot B^r,

where AA and BB are constants?

Answer choices
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Test the choices one at a time against the original by full-curve overlap.

Find the least allowable input

Practice problem

The function

S(t)=600(1.08)t/3S(t)=600(1.08)^{t/3}

models the number of subscribers on a channel tt days after a promotion begins. Which choice is the least integer value of tt for which

S(t)≥900?S(t)\ge900?
Answer choices
Calculator loads as you approach
Graph the model and the target, then find the first whole day that works.

The next problem adds an unknown vertical shift, qq, so Log Mode can't fit it. Use custom regression with several conditions instead. Put the three given points in one table and fit the model to all of them at once, so Desmos finds the three unknowns together.

Practice problems

Fit a shifted exponential model

Practice problem

The function mm is defined by

m(x)=p rx+q,m(x)=p\,r^x+q,

where pp, qq, and rr are positive constants. The graph of y=m(x)y=m(x) passes through (0,5)(0,5), (1,9)(1,9), and (3,57)(3,57). Which choice gives the value of m(2)m(2)?

Answer choices
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Fit the three points with the given shifted form, then evaluate at x = 2.

Finish the lesson

5 practice examples left

Finish the remaining questions correctly to complete this lesson.

Quick recap

  • Read the exponent. In c+ab(x−h)/kc+ab^{(x-h)/k}, the base applies once every kk input units.
  • Watch the baseline. The base multiplies the distance from cc, not the whole output.
  • Convert the interval. The per-unit factor is b1/kb^{1/k}.
  • Turn it into a percent. Growth is 100(r−1)%100(r-1)\%, and decay is 100(1−r)%100(1-r)\%.
  • Pick equivalent forms by full-curve overlap. Test one choice at a time against a fixed original, then use exponent rules when you need an exact form or a quick check.
  • Hit a target by graphing. When algebra isn't quick, graph the model against the target.
  • Fit a table with Log Mode. It fits positive data of the form abxab^x. A zero or negative output, or an unknown shift, means ordinary regression instead.
  • Choose the job. Use a model you're given as it is, and run a regression only when there are parameters left to find.

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