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How do we translate a real situation into a differential equation and interpret its solution?

Formulate and solve differential equations modelling real situations such as growth, cooling and limited growth, and interpret the solutions.

Setting up differential equations from worded situations including exponential growth and decay, Newton's law of cooling and logistic limited growth, solving them, and interpreting the long-term behaviour.

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  1. What this dot point is asking
  2. Translating words into a differential equation
  3. Exponential growth and decay
  4. Newton's law of cooling
  5. Limited (logistic) growth
  6. Interpreting the logistic curve
  7. Setting up from scratch

What this dot point is asking

You need to formulate differential equations from real situations, solve them, and interpret the resulting solutions including their long-term behaviour.

Translating words into a differential equation

The phrase describing the rate dictates the equation:

Exponential growth and decay

The simplest model, dydt=ky\dfrac{dy}{dt} = ky, solves to y=Aekty = A e^{kt} (see the separable-equations method). Use two pieces of data: one to find AA, another to find kk. Interpretation: as tβ†’βˆžt \to \infty the quantity grows without bound if k>0k > 0 or decays to 00 if k<0k < 0.

Newton's law of cooling

A body at temperature TT in surroundings at TsT_s cools at a rate proportional to the temperature difference:

dTdt=βˆ’k(Tβˆ’Ts).\frac{dT}{dt} = -k(T - T_s).

Limited (logistic) growth

When growth slows as a population nears a carrying capacity MM, the logistic equation dPdt=kP(Mβˆ’P)\dfrac{dP}{dt} = kP(M - P) applies. Its solution is an S-shaped curve that rises from a small initial value and levels off at MM. The key interpretation: dPdtβ†’0\dfrac{dP}{dt} \to 0 as Pβ†’MP \to M, so the population stabilises at the carrying capacity, and the steepest growth occurs at the halfway point P=M2P = \tfrac{M}{2}.

Interpreting the logistic curve

The logistic solution P=M1+Aeβˆ’ktP = \dfrac{M}{1 + A e^{-kt}} has features SACE frequently asks you to read off. The carrying capacity MM is the horizontal asymptote the curve approaches as tβ†’βˆžt \to \infty. The constant AA is fixed by the initial population: substituting t=0t = 0 gives P(0)=M1+AP(0) = \dfrac{M}{1 + A}, so A=Mβˆ’P(0)P(0)A = \dfrac{M - P(0)}{P(0)}. The growth rate is slow at first when PP is small, fastest at the inflection point P=M2P = \tfrac{M}{2}, then slows again as PP nears MM. Being able to identify the capacity, the initial value, and the point of fastest growth from the formula is exactly what the interpretation marks reward.

Setting up from scratch

A worked setup: a tank gains salt at a constant rate and loses it proportionally to the amount present, giving dSdt=aβˆ’bS\dfrac{dS}{dt} = a - bS. This is separable and solves to an exponential approaching the equilibrium S=abS = \tfrac{a}{b}, where the rate of change is zero. Recognising the equilibrium (where dSdt=0\dfrac{dS}{dt} = 0) often answers the long-term question without fully solving.

Exam-style practice questions

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

SACE 20234 marksCalculator-assumed. A butterfly population BB grows by dBdt=0.1B(1βˆ’BK)\dfrac{dB}{dt} = 0.1B\left(1 - \dfrac{B}{K}\right), where KK is a positive constant. You may assume KB(Kβˆ’B)=1B+1Kβˆ’B\dfrac{K}{B(K-B)} = \dfrac{1}{B} + \dfrac{1}{K-B}. Show that B=K1+Aeβˆ’0.1tB = \dfrac{K}{1 + A e^{-0.1t}} for some constant AA.
Show worked answer β†’

Rewrite as dBdt=0.1B(Kβˆ’B)K\dfrac{dB}{dt} = \dfrac{0.1B(K-B)}{K} and separate: KB(Kβˆ’B) dB=0.1 dt\dfrac{K}{B(K-B)}\,dB = 0.1\,dt. [1 mark]

Use the given partial fractions: ∫(1B+1Kβˆ’B)dB=∫0.1 dt\int \left(\dfrac{1}{B} + \dfrac{1}{K-B}\right)dB = \int 0.1\,dt, giving ln⁑∣Bβˆ£βˆ’ln⁑∣Kβˆ’B∣=0.1t+c\ln|B| - \ln|K-B| = 0.1t + c, i.e. ln⁑BKβˆ’B=0.1t+c\ln\dfrac{B}{K-B} = 0.1t + c. [1 mark]

Exponentiate: BKβˆ’B=Ce0.1t\dfrac{B}{K-B} = Ce^{0.1t}. Take reciprocals: Kβˆ’BB=1Ceβˆ’0.1t\dfrac{K-B}{B} = \dfrac{1}{C}e^{-0.1t}, so KBβˆ’1=Aeβˆ’0.1t\dfrac{K}{B} - 1 = A e^{-0.1t} with A=1CA = \tfrac{1}{C}. [1 mark]

Then KB=1+Aeβˆ’0.1t\dfrac{K}{B} = 1 + A e^{-0.1t}, so B=K1+Aeβˆ’0.1tB = \dfrac{K}{1 + A e^{-0.1t}}, as required. [1 mark]

SACE 20225 marksCalculator-assumed. The area covered by bacteria satisfies dAdt=12A(50βˆ’A)50\dfrac{dA}{dt} = \tfrac{1}{2}A\dfrac{(50 - A)}{50} with A(0)=1A(0) = 1. Solve to show that A=501+49eβˆ’0.5tA = \dfrac{50}{1 + 49 e^{-0.5t}}.
Show worked answer β†’

Separate: 50A(50βˆ’A) dA=12 dt\dfrac{50}{A(50-A)}\,dA = \tfrac{1}{2}\,dt. Partial fractions: 50A(50βˆ’A)=1A+150βˆ’A\dfrac{50}{A(50-A)} = \dfrac{1}{A} + \dfrac{1}{50-A}. [1 mark]

Integrate: ln⁑∣Aβˆ£βˆ’ln⁑∣50βˆ’A∣=12t+c\ln|A| - \ln|50-A| = \tfrac{1}{2}t + c, so ln⁑A50βˆ’A=0.5t+c\ln\dfrac{A}{50-A} = 0.5t + c. [1 mark]

Exponentiate: A50βˆ’A=Ce0.5t\dfrac{A}{50-A} = Ce^{0.5t}. Apply A(0)=1A(0) = 1: 149=C\dfrac{1}{49} = C. [1 mark]

So A50βˆ’A=149e0.5t\dfrac{A}{50-A} = \tfrac{1}{49}e^{0.5t}, giving 49A=(50βˆ’A)e0.5t49A = (50-A)e^{0.5t}, hence A=50e0.5t49+e0.5tA = \dfrac{50e^{0.5t}}{49 + e^{0.5t}}. [1 mark]

Divide through by e0.5te^{0.5t}: A=501+49eβˆ’0.5tA = \dfrac{50}{1 + 49 e^{-0.5t}}, as required. [1 mark]

SACE 20211 marksCalculator-assumed. Given A=501+49eβˆ’0.5tA = \dfrac{50}{1 + 49 e^{-0.5t}} models the area covered by bacteria, state the maximum area available for growth.
Show worked answer β†’

As tβ†’βˆžt \to \infty, eβˆ’0.5tβ†’0e^{-0.5t} \to 0, so the denominator 1+49eβˆ’0.5tβ†’11 + 49e^{-0.5t} \to 1.

Therefore A→50A \to 50. The maximum (limiting) area is 5050, the carrying capacity of the logistic model. [1 mark]

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