How do we model continuous growth, decay and cooling using differential equations?
Establish and solve differential equations of the form $\frac{dN}{dt} = k N$ and $\frac{dT}{dt} = k(T - T_a)$ and apply them to growth, decay and Newton's law of cooling
A focused answer to the HSC Maths Advanced dot point on exponential modelling. The equations dN/dt = kN and dT/dt = k(T - Ta), their solutions, and worked applications to population, radioactive decay and cooling.
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What this dot point is asking
NESA wants you to recognise that a rate of change proportional to the quantity itself produces exponential growth or decay, set up the appropriate differential equation, solve it, and apply it to populations, radioactive material and cooling bodies.
The answer
The growth and decay equation
If a quantity changes at a rate proportional to its current value,
the solution is
where is the initial amount. If the quantity grows; if it decays.
Half-life. For decay with rate constant , the half-life is . Equivalently .
Doubling time. For growth, the doubling time is .
Newton's law of cooling
If is the temperature of a body and is the ambient temperature (assumed constant), then
with . The solution is
where . As , .
Why these solutions work
Differentiate to get , which matches the equation. The same check works for the cooling solution, since and .
Worked example: radioactive decay
A radioactive sample has a half-life of years and an initial mass of grams. How much remains after years?
Use with , , .
.
.
grams.
Equivalently, find from , giving , then use .
Worked example: limited growth via Newton's form
A cold drink at Β°C is placed in a Β°C room. After minutes it has warmed to Β°C. When will it reach Β°C?
.
Use : , so , giving .
Set : , so .
, so minutes.
Common traps
Confusing the two equations. Pure exponential change uses . Cooling involves a constant ambient term: . Do not forget the .
Wrong sign of . For decay and cooling, is negative. The exponent should drive the function towards its limit, not away from it.
Linear versus exponential time variable. and describe the same decay only if .
Dropping at the end. In a cooling problem the final temperature approaches , not zero. The solution always includes a constant term equal to the ambient temperature.
Using instead of . In Maths Advanced, the natural logarithm (base ) is the inverse of . Switching to adds an unnecessary factor.
In one sentence
When a rate of change is proportional to a quantity (with or without an ambient offset), the result is an exponential function of time, fitted to the data by the initial value and one further data point.
Past exam questions, worked
Real questions from past NESA papers on this dot point, with our answer explainer.
2023 HSC Q144 marksA population of bacteria grows so that $\frac{dN}{dt} = 0.4 N$, where $N$ is the population at time $t$ hours. If $N(0) = 200$, find the time taken for the population to reach $1000$.Show worked answer β
The general solution is , with and .
.
Set : , so .
Take logarithms: , hours.
Markers reward stating the solution form, applying the initial condition, and using the natural logarithm correctly.
2020 HSC Q154 marksA cup of coffee at $90$Β°C is left to cool in a room at $20$Β°C. After $5$ minutes the coffee is at $70$Β°C. Using Newton's law of cooling, find the temperature after $15$ minutes.Show worked answer β
Newton's law: with . The solution is .
.
Use : , so .
.
Β°C.
Markers expect the correct general solution, the initial conditions used to find , and a final temperature with units.
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