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Modeling with Exponentials and Logarithms

In this lesson you’ll learn how to create and use exponential and logarithmic models for real-world growth, decay, and other phenomena. You saw exponential growth and decay in Algebra 2. Here we go deeper into modeling and solving for unknowns using logarithms.

Exponential and logarithmic functions are powerful modeling tools because many natural processes involve constant percentage change.

Common models:

Exponential growth (population, investment, spread):

P(t)=P0(1+r)tP(t) = P_0 (1 + r)^t

where P0P_0 is the initial amount, r is the growth rate per period, and t is time.

Exponential decay (radioactive decay, depreciation, cooling):

P(t)=P0(1r)torP(t)=P0(12)t/hP(t) = P_0 (1 - r)^t \quad \text{or} \quad P(t) = P_0 \left(\frac{1}{2}\right)^{t/h}

where h is the half-life.

To solve for time or rate, use logarithms:

t=log(P/P0)log(1+r)t = \frac{\log(P / P_0)}{\log(1 + r)}

Example 1: Bacterial growth

A population of 500 bacteria grows at 12% per hour. Find the population after 8 hours.

The model:

P(t)=500(1.12)tP(t) = 500(1.12)^t

After 8 hours:

P(8)=500(1.12)8500×2.4761,238 bacteriaP(8) = 500(1.12)^8 \approx 500 \times 2.476 \approx 1{,}238 \text{ bacteria}

Example 2: Radioactive decay

A radioactive substance has a half-life of 25 years. Starting with 400 grams, how much remains after 100 years?

The model:

P(t)=400(12)t/25P(t) = 400 \left(\frac{1}{2}\right)^{t/25}

After 100 years, that’s 100/25 = 4 half-lives:

P(100)=400(12)4=400×116=25 gramsP(100) = 400 \left(\frac{1}{2}\right)^4 = 400 \times \frac{1}{16} = 25 \text{ grams}

Example 3: Solving for time (investment)

How long will it take $10,000 to grow to $25,000 at 6% compounded annually?

Set up the equation:

25,000=10,000(1.06)t25{,}000 = 10{,}000(1.06)^t

Divide both sides by 10,000:

2.5=(1.06)t2.5 = (1.06)^t

Take the log of both sides:

t=log2.5log1.060.39790.025315.73 yearst = \frac{\log 2.5}{\log 1.06} \approx \frac{0.3979}{0.0253} \approx 15.73 \text{ years}

Exponential and logarithmic models are used in:

  • Finance (compound interest, loan amortization, rule of 72)
  • Biology and medicine (population growth, drug concentration decay)
  • Physics (radioactive decay, Newton’s law of cooling)
  • Environmental science (resource depletion, pollution spread)
  • Epidemiology (disease spread modeling)

Example: Carbon-14 dating uses exponential decay to determine the age of ancient artifacts. The half-life of C-14 is about 5,730 years, so measuring how much remains tells you how old the sample is.

$P(t) = 200(1.05)^t$ is an example of:
A substance has a half-life of 10 years. After 30 years, the remaining amount is:
To solve for $t$ in $P = P_0(1 + r)^t$, you should:
Which situation is best modeled by exponential decay?
Compound interest is an example of: