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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, the modified law dNdt=k(NP)\frac{dN}{dt} = k(N - P) built up stage by stage, and applications, with worked examples.

Reviewed by: AI editorial process; not yet individually human-reviewed

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What this dot point is asking

NESA wants you to recognise scenarios that follow the unrestricted exponential model dNdt=kN\frac{dN}{dt} = k N, write down and (when asked) verify the general solution N=N0ektN = N_0 e^{kt}, use given data to find the constants N0N_0 and kk, and solve doubling, halving and prediction problems. The Extension 1 course then extends this to the modified law dNdt=k(NP)\frac{dN}{dt} = k(N - P), where the rate depends on the gap between NN and a fixed value PP, which models population control, cooling and any approach to an equilibrium.

The phrase to listen for is "rate of change proportional to". If the rate is proportional to the amount NN, you have pure exponential growth or decay. If it is proportional to the difference from a fixed level (NP)(N - P), you have the modified law. Nothing else in the syllabus has the defining property that its derivative is a constant multiple of itself (or of itself-minus-a-constant), which is exactly why an exponential is the answer in both cases.

The answer

The unrestricted model

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

dNdt=kN,k>0 growth,k<0 decay.\frac{dN}{dt} = k N, \qquad k > 0 \text{ growth}, \quad k < 0 \text{ decay}.

kk is the proportionality (or rate) constant. Its sign decides growth versus decay and its size sets the speed.

General solution and how to establish it

Treat it as a separable differential equation. Separate variables and integrate:

dNN=kdt    lnN=kt+C    N=N0ekt,\frac{dN}{N} = k \, dt \implies \ln |N| = k t + C \implies N = N_0 e^{k t},

where N0=N(0)N_0 = N(0) is the initial value (it absorbs eCe^{C}). If a question says "show that" or "verify that N=N0ektN = N_0 e^{kt} satisfies dNdt=kN\frac{dN}{dt} = kN", do not separate variables; instead differentiate the given solution: dNdt=kN0ekt=kN\frac{dN}{dt} = k N_0 e^{kt} = kN, which matches, and note N(0)=N0N(0) = N_0. Reading the verb correctly is worth a mark.

Finding kk from data

Given the initial value N0N_0 and one later reading N(t1)=N1N(t_1) = N_1:

N1=N0ekt1    k=1t1lnN1N0.N_1 = N_0 e^{k t_1} \implies k = \frac{1}{t_1} \ln \frac{N_1}{N_0}.

For decay (N1<N0N_1 < N_0) the logarithm is negative, so k<0k < 0, as it must be. Keep kk exact (for example k=ln0.810k = \frac{\ln 0.8}{10}) until the final substitution to avoid rounding error.

Doubling time and half-life

Doubling time for growth: solve 2N0=N0ekTd2 N_0 = N_0 e^{k T_d}, cancel N0N_0, and take logs to get Td=ln2kT_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=ln12k=ln2kT_h = \frac{\ln \frac{1}{2}}{k} = -\frac{\ln 2}{k}, which is positive because k<0k < 0.

Both cancel N0N_0, which is the algebraic reason they are independent of the starting amount.

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 with NAN \to A and krk \to r.

The modified law dN/dt = k(N - P), stage by stage

The Extension 1 step up from pure exponentials is the law in which the rate is proportional to the difference between NN and a fixed value PP:

dNdt=k(NP).\frac{dN}{dt} = k(N - P).

It models a population held towards a sustainable level PP by culling or immigration, a body cooling towards room temperature PP, or any quantity drawn towards an equilibrium. Its solution (by separating variables, or by substituting M=NPM = N - P so dMdt=kM\frac{dM}{dt} = kM) is

N=P+(N0P)ekt.N = P + (N_0 - P) e^{k t}.

The four panels show what this forces the graph to do, and why PP acts as a horizontal asymptote whichever side you start.

Stage 1, the pure-exponential baseline. With P=0P = 0 the law is just dNdt=kN\frac{dN}{dt} = kN. For k>0k > 0 the solution N=N0ektN = N_0 e^{kt} climbs forever, getting steeper as it rises, and there is no level it settles at. Comparing this with the modified law shows exactly what the P-P term changes.

Unrestricted exponential growthThe curve N equals N nought times e to the k t with k positive rises from the initial value N nought and grows ever more steeply, with no upper bound. This is the unrestricted model dN by dt equals k N. tN N₀ dN/dt = kN 1 Stage 1: dN/dt = kN grows without bound (no equilibrium).

Stage 2, introduce the equilibrium value PP. In the modified law, dNdt=0\frac{dN}{dt} = 0 exactly when N=PN = P, because k(NP)=0k(N - P) = 0 there. So the horizontal line N=PN = P is an equilibrium: a quantity sitting at PP has zero rate of change and stays there forever. This single line organises the whole picture.

The equilibrium value PFor the modified law dN by dt equals k times the quantity N minus P, the horizontal line N equals P is the equilibrium: there the rate of change is zero, so a population sitting at P stays at P. The line N equals P is drawn dashed. tN N = P (equilibrium) dN/dt = 0 here 2 Stage 2: at N = P the rate is zero, so P is the equilibrium level.

Stage 3, starting above PP. If N0>PN_0 > P then N0P>0N_0 - P > 0, and (with k<0k < 0, the usual case for a controlled population or a cooling body) the term (N0P)ekt(N_0 - P)e^{kt} decays from a positive value to 00. So NN falls from N0N_0 and levels off at PP from above, never crossing it. The gap NPN - P is what decays exponentially, exactly like a pure decay but measured from the line N=PN = P instead of from zero.

Starting above the equilibriumWhen the initial value N nought is above the equilibrium P, the solution N equals P plus the quantity N nought minus P times e to the k t falls and levels off at the line N equals P from above. The curve never crosses the dashed equilibrium line. tN N₀ > P N = P 3 Stage 3: N₀ above P, the population falls towards P (decay of N - P).

Stage 4, starting below PP. If N0<PN_0 < P then N0P<0N_0 - P < 0, so (N0P)ekt(N_0 - P)e^{kt} is a negative quantity decaying to 00: NN rises from N0N_0 up to PP. Either way the curve approaches the same horizontal asymptote N=PN = P, which is the hallmark of the modified law. Whether it climbs or falls is decided purely by whether N0N_0 starts below or above PP.

Starting below the equilibriumWhen the initial value N nought is below the equilibrium P, the same solution rises and levels off at the line N equals P from below. Either side, the gap N minus P decays to zero, so P is a horizontal asymptote. tN N₀ < P N = P 4 Stage 4: N₀ below P, the population rises towards P; P is the asymptote.

Newton's law of cooling is the same law with P=TaP = T_a, the ambient temperature: dTdt=k(TTa)\frac{dT}{dt} = k(T - T_a) solves to T=Ta+(T0Ta)ektT = T_a + (T_0 - T_a)e^{kt}, and the temperature levels off at TaT_a rather than at zero. See the separable differential equations dot point for the full derivation.

Out of scope: logistic growth

You may see the logistic model dNdt=kN(MN)\frac{dN}{dt} = kN(M - N), which caps growth at a carrying capacity MM using a product rather than a difference. That belongs to Extension 2, not Extension 1; the Extension 1 "capped" model is the linear modified law above.

How exam questions ask about exponential models

The wording pinpoints which step is being tested:

  • "The rate of change is proportional to ... Set up a differential equation." Translate the words: proportional to the amount gives dNdt=kN\frac{dN}{dt} = kN; proportional to the difference from a fixed level gives dNdt=k(NP)\frac{dN}{dt} = k(N - P). Recognising the phrasing is the whole task.
  • "Show that / verify that N=N0ektN = N_0 e^{kt} satisfies dNdt=kN\frac{dN}{dt} = kN." Differentiate the given solution and substitute; do not separate variables. State the initial condition too.
  • "After t1t_1, the amount is ... Find kk / the growth rate / the decay constant." Substitute the second data point and solve with a logarithm. Decay and cooling give k<0k < 0.
  • "Find the amount after ... / how much remains." Substitute tt into the fully fitted model.
  • "How long until it doubles / halves / reaches a given value?" Set the model equal to the target and solve for tt with a logarithm; or use Td=ln2kT_d = \frac{\ln 2}{k}, Th=ln2kT_h = \frac{\ln 2}{|k|}.
  • "A body cools / a population is controlled towards a level." The modified law: identify PP (ambient or sustainable value), quote N=P+(N0P)ektN = P + (N_0 - P)e^{kt}, and remember the limit is PP, not 00.
  • "Sketch the solution." Show the initial value, the correct growth or decay shape, and, for the modified law, the horizontal asymptote N=PN = P.

Exam-style practice questions

Practice questions written in the style of NESA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

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 →

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=ln0.8100.02231k = \frac{\ln 0.8}{10} \approx -0.02231.

For 50%50\%: 0.5=ekt0.5 = e^{k t}, so t=ln0.5k=ln0.5ln0.8/10=10ln0.5ln0.810(0.693)0.22331t = \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.

Practice questions

Original practice questions graded from foundation to exam level, each with a full worked solution. Try them before revealing the solution.

foundation2 marksA quantity NN satisfies dNdt=kN\frac{dN}{dt} = kN with N0=50N_0 = 50 and k=0.1k = 0.1. Find NN after 55 units of time, correct to one decimal place.
Show worked solution →

Write the solution and substitute. The model dNdt=kN\frac{dN}{dt} = kN solves to N=N0ektN = N_0 e^{kt}, so

N(5)=50e0.1×5=50e0.550×1.648782.4.N(5) = 50 e^{0.1 \times 5} = 50 e^{0.5} \approx 50 \times 1.6487 \approx 82.4.

Marker's note: one mark for quoting N=N0ektN = N_0 e^{kt} with the correct values substituted, one for the evaluated answer 82.482.4 (accept 82.382.3 to 82.582.5).

foundation2 marksShow that N=30e0.4tN = 30 e^{-0.4 t} satisfies the differential equation dNdt=0.4N\frac{dN}{dt} = -0.4 N.
Show worked solution →

Differentiate the given function.

dNdt=30×(0.4)e0.4t=0.4×(30e0.4t)=0.4N.\frac{dN}{dt} = 30 \times (-0.4) e^{-0.4 t} = -0.4 \times \left(30 e^{-0.4 t}\right) = -0.4 N.

This matches the differential equation exactly, so N=30e0.4tN = 30 e^{-0.4t} satisfies it.

Marker's note: one mark for correctly differentiating 30e0.4t30 e^{-0.4t}, one for identifying the result as 0.4N-0.4 N (not merely restating the derivative). Separating variables here is the wrong method: "show that" requires differentiating the given solution.

foundation3 marksA radioactive isotope decays according to dNdt=kN\frac{dN}{dt} = kN. Its half-life is 2020 years. Find the exact value of kk, and hence find what fraction of the original amount remains after 6060 years.
Show worked solution →

Find kk from the half-life. At t=20t = 20, N=12N0N = \frac{1}{2}N_0, so

12=e20k    k=ln1220=ln220.\frac{1}{2} = e^{20k} \implies k = \frac{\ln \frac{1}{2}}{20} = -\frac{\ln 2}{20}.

Use kk to find the fraction remaining at t=60t = 60. Since 60=3×2060 = 3 \times 20 is exactly three half-lives,

N(60)N0=e60k=(e20k)3=(12)3=18.\frac{N(60)}{N_0} = e^{60k} = \left(e^{20k}\right)^3 = \left(\frac{1}{2}\right)^3 = \frac{1}{8}.

Marker's note: one mark for k=ln220k = -\frac{\ln 2}{20} exactly, one for recognising 6060 years is three half-lives, one for the fraction 18\frac{1}{8}. Rounding kk to a decimal early and then cubing it is a common source of a slightly wrong final fraction.

core4 marksA population of feral animals is controlled towards a sustainable level of P=400P = 400 according to dNdt=k(N400)\frac{dN}{dt} = k(N - 400). Initially there are N0=1000N_0 = 1000 animals, and after 22 years there are 700700. (a) Find kk. (b) Find the population after 55 years, correct to the nearest whole animal.
Show worked solution →

Part (a): set up the modified-law solution and substitute the data point. The general solution is

N=400+(1000400)ekt=400+600ekt.N = 400 + (1000 - 400) e^{kt} = 400 + 600 e^{kt}.

At t=2t = 2, N=700N = 700:

700=400+600e2k    300=600e2k    e2k=12    k=12ln12=ln22.700 = 400 + 600 e^{2k} \implies 300 = 600 e^{2k} \implies e^{2k} = \frac{1}{2} \implies k = \frac{1}{2}\ln\frac{1}{2} = -\frac{\ln 2}{2}.

Part (b): substitute t=5t = 5.

N(5)=400+600e5k=400+600e5ln22=400+600×22.5.N(5) = 400 + 600 e^{5k} = 400 + 600 e^{-\frac{5\ln 2}{2}} = 400 + 600 \times 2^{-2.5}.

Since 22.5=122.515.6570.17682^{-2.5} = \frac{1}{2^{2.5}} \approx \frac{1}{5.657} \approx 0.1768,

N(5)400+600×0.1768400+106.1506 animals.N(5) \approx 400 + 600 \times 0.1768 \approx 400 + 106.1 \approx 506 \text{ animals}.

Marker's note: one mark for the correctly formed N=400+600ektN = 400 + 600 e^{kt}, one for solving for kk exactly, one for correctly substituting t=5t = 5, one for the rounded final answer of 506506 animals. Using N=N0ektN = N_0 e^{kt} instead of the modified-law solution is the standard error here.

core4 marksA hot metal rod at 9595 degrees C is placed in a coolant bath held at a constant 1515 degrees C. Its temperature obeys dTdt=k(T15)\frac{dT}{dt} = k(T - 15). After 44 minutes it has cooled to 5555 degrees C. Find the temperature after 1010 minutes, correct to one decimal place.
Show worked solution →

Set up the model. With P=15P = 15 and T0=95T_0 = 95,

T=15+80ekt.T = 15 + 80 e^{kt}.

Find kk from the 44-minute reading. At t=4t = 4, T=55T = 55:

55=15+80e4k    40=80e4k    e4k=12    k=14ln12=ln24.55 = 15 + 80 e^{4k} \implies 40 = 80 e^{4k} \implies e^{4k} = \frac{1}{2} \implies k = \frac{1}{4}\ln\frac{1}{2} = -\frac{\ln 2}{4}.

Substitute t=10t = 10.

T(10)=15+80e10k=15+80×(e4k)2.5=15+80×(0.5)2.5.T(10) = 15 + 80 e^{10k} = 15 + 80 \times \left(e^{4k}\right)^{2.5} = 15 + 80 \times (0.5)^{2.5}.

Since (0.5)2.50.1768(0.5)^{2.5} \approx 0.1768,

T(10)15+80×0.176815+14.129.1 degrees C.T(10) \approx 15 + 80 \times 0.1768 \approx 15 + 14.1 \approx 29.1 \text{ degrees C}.

Marker's note: one mark for the correctly set-up model T=15+80ektT = 15 + 80 e^{kt}, one for solving for kk exactly from the 44-minute data, one for correct substitution of t=10t = 10, one for the final answer near 29.129.1 degrees C (accept 29.029.0 to 29.229.2). The rod approaches the bath temperature 1515, not zero.

exam5 marksThe table below gives the population of a colony of bacteria, which is known to obey unrestricted exponential growth dNdt=kN\frac{dN}{dt} = kN. | tt (hours) | 00 | 44 | 88 | |---|---|---|---| | NN | 200200 | ?? | 18001800 | (a) Show that the growth constant satisfies e8k=9e^{8k} = 9. (b) Find kk exactly. (c) Find the missing population at t=4t = 4 hours, correct to the nearest whole bacterium.
Show worked solution →

Part (a): use the t=0t = 0 and t=8t = 8 readings. With N0=200N_0 = 200, the model is N=200ektN = 200 e^{kt}. At t=8t = 8, N=1800N = 1800:

1800=200e8k    e8k=1800200=9,1800 = 200 e^{8k} \implies e^{8k} = \frac{1800}{200} = 9,

as required.

Part (b): solve for kk.

8k=ln9    k=ln98=2ln38=ln34.8k = \ln 9 \implies k = \frac{\ln 9}{8} = \frac{2\ln 3}{8} = \frac{\ln 3}{4}.

Part (c): substitute t=4t = 4, noting it is exactly half of t=8t = 8. Since e4k=(e8k)1/2=9=3e^{4k} = \left(e^{8k}\right)^{1/2} = \sqrt{9} = 3,

N(4)=200e4k=200×3=600 bacteria.N(4) = 200 e^{4k} = 200 \times 3 = 600 \text{ bacteria}.

Marker's note: one mark for correctly forming e8k=9e^{8k} = 9 from the table, two for solving to the exact form k=ln34k = \frac{\ln 3}{4}, one for recognising t=4t = 4 is half of t=8t = 8 so e4k=9e^{4k} = \sqrt{9}, one for the final population of 600600. Candidates who round kk early often land on 599599 or 601601 instead of the exact 600600; this is acceptable within rounding tolerance but the exact route is cleaner.

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