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

Logistic equation dP/dt = kP(1 − P/C)

20 practice questions 2 video lessons Theory + worked examples

Explore the logistic equation in NSW Year 12 Mathematics Extension 1. It refines exponential growth by adding a carrying capacity, so a population grows quickly at first and then levels off.

You will learn to solve the logistic differential equation using partial fractions, interpret the resulting S-shaped curve, and identify the carrying capacity β€” a realistic growth model applied in biology, chemistry and economics in Extension 1.

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  • Modelling Population Growth: The Logistic Equation - Differential Equations Watch
  • Logistic Differential Equation (general solution) Watch
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Theory

The logistic equation dPdt=kP(1βˆ’PC) models growth that levels off at a carrying capacity C, with solution P=C1+Aeβˆ’kt. This NSW Year 12 Mathematics Extension 1 topic is NESA outcome ME1-12-05.

The logistic equation models growth that levels off at a carrying capacity C: dPdt=kP(1βˆ’PC). Growth is rapid when P is small and slows as Pβ†’C.

Solving it (by partial fractions and separation) gives P=C1+Aeβˆ’kt. As tβ†’βˆž, Pβ†’C; the constant A=Cβˆ’P0P0 is fixed by the initial value.

Growth is fastest at P=C2, the point of inflection of the S-curve.

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. Students decompose 1P(Cβˆ’P) into partial fractions to obtain the logistic function.

The logistic S-curveAn S-shaped curve rising fastest at half the carrying capacity and levelling off at the asymptote P equals C.xyP = CC/2fastest at C/2
The S-curve rises fastest at P=C2 and levels off at C.
Growth rate against populationThe parabola dP by dt equals k P times one minus P over C, greatest at P equals half the carrying capacity and zero at zero and C.xyC/2Cmax ratedP/dt
The growth rate kP(1βˆ’PC) is greatest at P=C2.
dPdt=kP(1βˆ’PC)⟹P=C1+Aeβˆ’kt.
dP/dt = kP(1 - P/C) has solution P = C / (1 + A e^(-kt))

Use partial fractions before integrating:

1P(Cβˆ’P)=1C(1P+1Cβˆ’P),A=Cβˆ’P0P0.
partial fractions 1/(P(C-P)) = (1/C)(1/P + 1/(C-P)); A = (C - P0)/P0

Limiting value. Pβ†’C as tβ†’βˆž, and the maximum growth rate occurs at P=C2, not at P=0.

How to work with the logistic model

  1. Read C and A: the carrying capacity is C; A=Cβˆ’P0P0 from the initial value.
  2. To derive the solution, separate variables and use partial fractions on 1P(Cβˆ’P).
  3. Evaluate P(t) by substituting t into P=C1+Aeβˆ’kt.
  4. Interpret the limit C and the fastest-growth point C2.
Example 1 β€” Read the model
For P=6001+5eβˆ’0.4t, state the initial population and the carrying capacity.
Solution
P(0)=6001+5=100
P(∞)=600
initial 100, carrying capacity 600

Initial 100, carrying capacity 600.

Example 2 β€” Find A
The solution is P=C1+Aeβˆ’kt with C=800 and P(0)=200. Find A.
Solution
200=8001+A
1+A=4β‡’A=3
A = 3

A=3.

Example 3 β€” Derive the solution
Solve dPdt=kP(1βˆ’PC).
Solution

Separate, then use partial fractions.

∫(1P+1Cβˆ’P)dP=∫kdt
ln|PCβˆ’P|=kt+c
rearranges to P = C/(1 + A e^(-kt))

Rearranging: P=C1+Aeβˆ’kt.

Example 4 β€” Evaluate
For P=10001+4eβˆ’0.2t, find P when t=10.
Solution
P(10)=10001+4eβˆ’2
β‰ˆ10001.541β‰ˆ649
P(10) approx 649

P(10)β‰ˆ649.

Common pitfalls

Fastest growth point. Growth is fastest at P=C2, not at P=0.
Skipping partial fractions. Decompose 1P(Cβˆ’P) before integrating.
Finding A. Use A=Cβˆ’P0P0 from the initial value, or substitute t=0.
The limit. The carrying capacity C is the horizontal asymptote as tβ†’βˆž.

Frequently asked questions

What is the logistic equation?

dPdt=kP(1βˆ’PC), modelling growth that levels off at a carrying capacity C.

What is the logistic solution?

P=C1+Aeβˆ’kt, with Pβ†’C as tβ†’βˆž.

Where is growth fastest?

At P=C2, the inflection point of the S-curve.

How do you find A?

A=Cβˆ’P0P0, or substitute the initial value at t=0.

Why use partial fractions?

To integrate 1P(Cβˆ’P) after separating variables.