Skill: Model exponential growth and decay

Explanation and Free Practice Resources

Exponential growth and decay models represent quantities that change by a constant multiplicative factor over equal intervals, using forms such as A(t)=A0btA(t)=A_0b^t or A(t)=A0(1+r)tA(t)=A_0(1+r)^t. The initial value, growth or decay factor, and percentage rate are interpreted from equations, tables, graphs, and contexts, with b>1b>1 indicating growth and 0<b<10<b<1 decay; this distinguishes exponential change from constant additive change and excludes differential-equation-based or more abstract generalizations.

Detailed Explanation: Model exponential growth and decay

An exponential model is used when a quantity changes by the same multiplicative factor over equal time intervals. Its general form is

A(t)=A0bt,A(t)=A_0b^t,

where:

  • A0A_0 is the initial amount,
  • bb is the growth or decay factor,
  • tt is the number of time intervals.

If the quantity grows by rr percent each interval, then

b=1+r.b=1+r.

If it decays by rr percent each interval, then

b=1−r.b=1-r.

A value of b>1b>1 represents growth, while 0<b<10<b<1 represents decay.

Example

A population of bacteria starts at 500500. It increases by 12%12\% every hour. Model the population after tt hours and find the population after 66 hours.

Step 1: Identify the initial amount.

The starting population is

A0=500.A_0=500.

Step 2: Convert the percent increase to a growth factor.

A 12%12\% increase means multiply by

1+0.12=1.12.1+0.12=1.12.

Thus, the growth factor is b=1.12b=1.12.

Step 3: Write the exponential model.

Substitute the initial amount and growth factor into A(t)=A0btA(t)=A_0b^t:

A(t)=500(1.12)t.A(t)=500(1.12)^t.

This model shows that the population is multiplied by 1.121.12 every hour.

Step 4: Find the population after 66 hours.

Substitute t=6t=6:

A(6)=500(1.12)6.A(6)=500(1.12)^6. A(6)≈986.91.A(6)\approx 986.91.

Since a population is counted in whole bacteria, the population is approximately

987 bacteria.\boxed{987\text{ bacteria}}.

This is exponential growth because the population increases by a constant percentage, not by a constant number. A model such as 500+12t500+12t would represent adding 1212 bacteria each hour, which is linear rather than exponential.

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Exponential Function Growth (Discrete) - Scenario to Equation


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