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NSWMaths Extension 1Syllabus dot point

How do we model and solve problems involving exponential growth and decay using dNdt=kN\frac{dN}{dt} = k N?

Model unrestricted growth and decay with dNdt=kN\frac{dN}{dt} = k N and solve the resulting separable differential equation

A focused answer to the HSC Maths Extension 1 dot point on exponential growth and decay. The differential equation dNdt=kN\frac{dN}{dt} = k N, its solution N=N0ektN = N_0 e^{kt}, doubling time, half-life, and applications, with worked examples.

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What this dot point is asking

NESA wants you to recognise scenarios that follow the unrestricted exponential growth or decay model dNdt=kN\frac{dN}{dt} = k N, write down the general solution, use given data points to find the constants, and solve problems involving doubling, halving and prediction.

The answer

The model

If a quantity N(t)N(t) grows or decays at a rate proportional to itself,

dNdt=kN.\frac{dN}{dt} = k N.

k>0k > 0: growth. k<0k < 0: decay. The constant kk is the proportionality constant.

General solution

Separate variables:

dNN=k dt.\frac{dN}{N} = k \, dt.

Integrate:

ln⁑∣N∣=kt+Cβ€…β€ŠβŸΉβ€…β€ŠN=N0ekt,\ln |N| = k t + C \implies N = N_0 e^{k t},

where N0=N(0)N_0 = N(0) is the initial value.

Finding kk from data

Given N(t1)=N1N(t_1) = N_1 and N(0)=N0N(0) = N_0:

N1=N0ekt1β€…β€ŠβŸΉβ€…β€Šk=1t1ln⁑N1N0.N_1 = N_0 e^{k t_1} \implies k = \frac{1}{t_1} \ln \frac{N_1}{N_0}.

For decay (where N1<N0N_1 < N_0), k<0k < 0.

Doubling time and half-life

Doubling time for growth: solve 2N0=N0ekTd2 N_0 = N_0 e^{k T_d} to get Td=ln⁑2kT_d = \frac{\ln 2}{k}.

Half-life for decay: solve 12N0=N0ekTh\frac{1}{2} N_0 = N_0 e^{k T_h} to get Th=ln⁑12k=βˆ’ln⁑2kT_h = \frac{\ln \frac{1}{2}}{k} = -\frac{\ln 2}{k} (positive when k<0k < 0).

Both are independent of N0N_0, which is the defining feature of exponential growth and decay.

Continuous compound interest

A bank account earning interest at a continuous rate rr satisfies dAdt=rA\frac{dA}{dt} = r A, so A(t)=A0ertA(t) = A_0 e^{r t}. This is the same model.

Populations with capped growth (logistic)

For populations, the model dNdt=kN(Mβˆ’N)\frac{dN}{dt} = k N (M - N) caps growth at carrying capacity MM. Extension 1 mostly stays with unrestricted growth; logistic growth appears in Extension 2 and in some applications.

The simpler model for population control in Extension 1 is

dNdt=βˆ’k(Nβˆ’N∞),\frac{dN}{dt} = -k(N - N_\infty),

which models cooling or approach to equilibrium. Its solution is N=N∞+(N0βˆ’N∞)eβˆ’ktN = N_\infty + (N_0 - N_\infty) e^{-k t} (Newton's law of cooling form). See the separable differential equations dot point for derivation.

Past exam questions, worked

Real questions from past NESA papers on this dot point, with our answer explainer.

2020 HSC Q144 marksA radioactive substance decays so that the rate of decay is proportional to the amount remaining. After 1010 years, 80%80\% of the original amount remains. How long until 50%50\% remains? Give your answer to the nearest year.
Show worked answer β†’

Model: dNdt=kN\frac{dN}{dt} = k N, solution N=N0ektN = N_0 e^{kt}. Decay means k<0k < 0.

At t=10t = 10: N=0.8N0N = 0.8 N_0, so 0.8=e10k0.8 = e^{10 k}, giving k=ln⁑0.810β‰ˆβˆ’0.02231k = \frac{\ln 0.8}{10} \approx -0.02231.

For 50%50\%: 0.5=ekt0.5 = e^{k t}, so t=ln⁑0.5k=ln⁑0.5ln⁑0.8/10=10ln⁑0.5ln⁑0.8β‰ˆ10β‹…(βˆ’0.693)βˆ’0.223β‰ˆ31t = \frac{\ln 0.5}{k} = \frac{\ln 0.5}{\ln 0.8 / 10} = \frac{10 \ln 0.5}{\ln 0.8} \approx \frac{10 \cdot (-0.693)}{-0.223} \approx 31 years.

Markers reward the model, solving for kk from the given 80%80\% data, using the model to find the half-life time, and a clean numerical answer.

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