MISSION · Algebra

Exponential Growth and Decay

What happens when the rate of change depends on the amount

Explorer level
Grades 9-12
Quest time
8 minutes
Mission skill
Recognising and using multiplicative growth

LEVEL 1 · EXPLORE

Make the idea move

Change the controls and watch what happens. Follow your curiosity and see what you notice.

Loading the activity…

LEVEL 2 · LEARN

Unlock the explanation

Open the chapters in any order. Try the examples as you go.

The idea in one sentence

Linear growth adds the same amount each step; exponential growth multiplies by the same factor each step, and that difference eventually dwarfs everything.

\[y = a \cdot b^x\]

The two numbers

\(a\) is the starting amount, the value when \(x = 0\). \(b\) is the growth factor — what you multiply by for each step.

  • \(b > 1\) means growth. \(b = 1.05\) is a 5% rise per step.
  • \(0 < b < 1\) means decay. \(b = 0.8\) means keeping 80% each step, a 20% fall.
  • \(b = 1\) means nothing changes.

Note that decay is still multiplication. Halving repeatedly gets smaller and smaller but never reaches zero, which is why radioactive material has a half-life rather than an expiry date.

Linear loses, eventually and then completely

Start a linear job at £1000 a day, and an exponential one at 1p doubling daily. After ten days the linear job has paid £10,000 and the exponential one £10.24. After twenty, it’s £20,000 against £10,485. After thirty days the exponential job has paid over £10 million.

Nothing about the early figures warns you. Exponential growth looks flat, then looks modest, then looks impossible — and the transition happens much faster than intuition allows for. Every argument about pandemics, compound interest, or Moore’s law is a version of this one comparison.

Where it comes from

Exponential behaviour appears whenever the change depends on the current amount rather than on time:

  • Interest. The interest earned depends on the balance, which includes past interest.
  • Population. More rabbits make more rabbits.
  • Cooling and decay. The amount lost each minute depends on how much is left.

That’s the mark to look for. “Grows by 3 per year” is linear. “Grows by 3% per year” is exponential, because the 3% is measured against an amount that keeps changing.

Doubling time and half-life

Since the factor is constant, the time to double is constant too — it doesn’t matter where you start. A population growing 7% a year doubles about every ten years, whether it’s at a thousand or a million.

A useful estimate, the rule of 70: doubling time is roughly \(70 \div\) the percentage growth rate. At 2% a year, doubling takes about 35 years. At 10%, about 7.

Decay works identically. A half-life of 5 days means half is gone after 5 days, half of the remainder after 10, and so on — after 20 days a sixteenth is left, not nothing.

Common mix-ups

  • Confusing \(x^2\) with \(2^x\). In the first the exponent is fixed; in the second the exponent is what’s growing, and it wins in the long run every time.
  • Adding percentages across periods. 10% growth for 3 years is \(\times 1.1^3 = 1.331\), not 30%.
  • Thinking decay reaches zero. It approaches zero without arriving.
  • Judging the shape from a short stretch. Early exponential growth is easily mistaken for linear, and that’s precisely what makes it dangerous.

Check yourself

£500 is invested at 6% a year. Write the formula, and estimate how long it takes to double.

\(V = 500 \times 1.06^t\). By the rule of 70, doubling takes about \(70 \div 6 \approx 12\) years — the exact figure is 11.9.

LEVEL 3 · REFLECT

Add this quest to your trail

When you feel ready, mark this idea as explored. You can always come back and try it again.

EXPLORER STRATEGIES

More ways to see it

Loading shared methods…
Share how you learned it