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Year 12 Maths Extension 1 (2027) Further applications of calculus

Modelling with DEs (growth & decay)

20 practice questions 2 video lessons Theory + worked examples

Apply calculus to the real world with modelling using differential equations in NSW Year 12 Mathematics Extension 1. Many natural processes change at a rate proportional to the current amount, giving exponential growth or decay.

You will learn to set up and solve growth and decay models, and interpret the limiting value they approach β€” modelling problems drawn from chemistry, biology and economics in the Extension 1 course.

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Practice questions

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Watch 2 video(s)
  • Exponential Growth and Decay Calculus, Relative Growth Rate, Differential Equations, Word Problems Watch
  • Modelling exponential growth and decay | Introduction | ExamSolutions Watch
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Theory

Exponential growth and decay follow dQdt=kQ, solved by Q=Q0ekt: k>0 grows, k<0 decays. This NSW Year 12 Mathematics Extension 1 topic (NESA outcome ME1-12-05) covers doubling time ln⁑2k and half-life.

Exponential growth and decay arise when a quantity changes at a rate proportional to its current amount: dQdt=kQ, with solution Q=Q0ekt, where Q0 is the initial value.

k>0 gives growth; k<0 gives decay. The doubling time is ln⁑2k and the half-life is βˆ’ln⁑2k.

Neither the doubling time nor the half-life depends on the starting amount.

NESA link. Part of the Year 12 Further applications of calculus focus area, outcome ME1-12-05 ("applies calculus to solve problems involving polynomials, further rates of change, areas and volumes and differential equations") with MAO-WM-01. The same modelling extends to dQdt=k(Qβˆ’P) and logistic growth in chemistry, biology and economics.

Exponential growth and decayOne curve rising for positive k and one falling for negative k, the solutions of dQ by dt equals k Q.xyk>0k<0
dQdt=kQ: growth for k>0, decay for k<0.
Half-life of an exponential decayA decay curve dropping from M naught, reaching M naught over two at the half-life time.xyMβ‚€Mβ‚€/2half-life
Half-life: the time for the quantity to fall to M02.
dQdt=kQ⟹Q=Q0ekt.
dQ/dt = kQ gives Q = Q0 e^(kt)
doubling time=ln⁑2k,half-life=βˆ’ln⁑2k.
doubling time = ln2 / k; half-life = -ln2 / k

Keep logs exact. Carry values like k=12ln⁑3 exactly until the final numerical step; the doubling time and half-life are independent of the starting amount.

How to model with dQdt=kQ

  1. Write the solution Q=Q0ekt with Q0 the initial value.
  2. Find k from a second data point, keeping logs exact.
  3. Answer the question: evaluate Q at a time, or find a doubling time / half-life.
  4. Interpret the sign of k β€” growth or decay.
Example 1 β€” Growth model
dPdt=0.04P with P(0)=200. Find P(t) and P(10).
Solution

P=200e0.04t.

P(10)=200e0.4β‰ˆ298
P = 200 e^(0.04t), P(10) approx 298

P=200e0.04t, P(10)β‰ˆ298.

Example 2 β€” Find k
A colony grows as N=1000ekt, with N=3000 at t=2. Find k.
Solution
3000=1000e2k⇒e2k=3
k=12ln⁑3
k = (1/2) ln 3

k=12ln⁑3.

Example 3 β€” Half-life to k
A substance has a half-life of 20 years. Find k in dMdt=kM.
Solution

12=e20k.

20k=ln⁑12
k=βˆ’ln⁑220β‰ˆβˆ’0.0347
k = -ln2/20 approx -0.0347

kβ‰ˆβˆ’0.0347.

Example 4 β€” Doubling time
A population grows as dPdt=0.02P. Find its doubling time.
Solution

2=e0.02t.

t=ln⁑20.02β‰ˆ34.7
doubling time approx 34.7 years

About 34.7 years.

Common pitfalls

Sign of k. For decay, k<0 (or write Q=Q0eβˆ’kt with k>0).
Rounding early. Keep logs exact (e.g. k=12ln⁑3) until the final numerical step.
Half-life depends on amount. It does not β€” doubling time and half-life are independent of the starting value.
Confusing the two formulas. Doubling time uses 2; half-life uses 12.

Frequently asked questions

What is the exponential growth model?

dQdt=kQ, solved by Q=Q0ekt.

How do you find the growth constant k?

Use a second data point, e.g. N=1000ekt with a known later value, and solve for k.

What is the doubling time?

ln⁑2k β€” the time for the quantity to double.

What is the half-life?

βˆ’ln⁑2k for decay β€” the time to halve.

Does half-life depend on the starting amount?

No β€” it depends only on k.