· H2 Mathematics — Ten-Year Series, worked ← All 12 questions

2022 A-Level · Paper 1 · Question 12

2022 H2 Maths Paper 1, Question 12

Differential Equations 13 marks Application Problems involving DEs
Download Paper 1 solutions (PDF)

Part (a)

5 marks

Let kk be the constant of proportionality. Since the rate of change of PP is proportional to PP,

dPdt=kP\frac{dP}{dt} = kP

Separating variables and integrating,

∫1P dP=∫k dt\int\frac{1}{P}\, dP = \int k\, dt
⇒ln⁡P=kt+C\Rightarrow \ln P = kt + C
⇒P=ekt+C=Aekt, where A=eC\Rightarrow P = e^{kt + C} = Ae^{kt},\ \text{where}\ A = e^{C}

At t=0t = 0, P=50P = 50:

50=Ae0⇒A=5050 = Ae^{0} \Rightarrow A = 50

At t=10t = 10, P=100P = 100:

100=50e10k100 = 50e^{10k}
⇒e10k=2\Rightarrow e^{10k} = 2
⇒k=ln⁡210\Rightarrow k = \frac{\ln 2}{10}

So the first model gives P=50et10ln⁡2P = 50e^{\frac{t}{10}\ln 2}, i.e.

P=50×2t/10P = 50 \times 2^{t/10}
To check your answer: at t=0t = 0, P=50×20=50P = 50 \times 2^{0} = 50 ✓; at t=10t = 10, P=50×21=100P = 50 \times 2^{1} = 100 ✓

∴\therefore P=50×2t/10P = 50 \times 2^{t/10}.

Part (b)

6 marks

Approach

the equation dPdt=λP(500−P)\frac{dP}{dt} = \lambda P(500 - P) separates, but the resulting fraction 1P(500−P)\frac{1}{P(500 - P)} needs partial fractions before it can be integrated.

dPdt=λP(500−P)\frac{dP}{dt} = \lambda P(500 - P)
⇒∫1P(500−P) dP=∫λ dt\Rightarrow \int\frac{1}{P(500 - P)}\, dP = \int\lambda\, dt

Using partial fractions, 1P(500−P)=1500(1P+1500−P)\frac{1}{P(500 - P)} = \frac{1}{500}\left( \frac{1}{P} + \frac{1}{500 - P} \right), so

1500∫(1P+1500−P)dP=λt+C1\frac{1}{500}\int\left( \frac{1}{P} + \frac{1}{500 - P} \right)dP = \lambda t + C_{1}
⇒ln⁡P−ln⁡(500−P)=500λt+C2, where C2=500C1\Rightarrow \ln P - \ln(500 - P) = 500\lambda t + C_{2},\ \text{where}\ C_{2} = 500C_{1}
⇒ln⁡(P500−P)=500λt+C2\Rightarrow \ln\left( \frac{P}{500 - P} \right) = 500\lambda t + C_{2}
⇒P500−P=Ae500λt, where A=eC2\Rightarrow \frac{P}{500 - P} = Ae^{500\lambda t},\ \text{where}\ A = e^{C_{2}}

At t=0t = 0, P=50P = 50:

A=50450=19A = \frac{50}{450} = \frac{1}{9}

so P500−P=19e500λt\frac{P}{500 - P} = \frac{1}{9}e^{500\lambda t}. At t=10t = 10, P=100P = 100:

100400=14=19e5000λ\frac{100}{400} = \frac{1}{4} = \frac{1}{9}e^{5000\lambda}
⇒e5000λ=94\Rightarrow e^{5000\lambda} = \frac{9}{4}
⇒λ=15000ln⁡(94)\Rightarrow \lambda = \frac{1}{5000}\ln\left( \frac{9}{4} \right)

Substituting back, e500λt=et10ln⁡(9/4)=(94)t/10e^{500\lambda t} = e^{\frac{t}{10}\ln(9/4)} = \left( \frac{9}{4} \right)^{t/10}, so

P500−P=19(94)t/10\frac{P}{500 - P} = \frac{1}{9}\left( \frac{9}{4} \right)^{t/10}

Solving for PP,

9P=(500−P)(94)t/109P = (500 - P)\left( \frac{9}{4} \right)^{t/10}
⇒P[9+(94)t/10]=500(94)t/10\Rightarrow P\left\lbrack 9 + \left( \frac{9}{4} \right)^{t/10} \right\rbrack = 500\left( \frac{9}{4} \right)^{t/10}
⇒P=500(94)t/109+(94)t/10\Rightarrow P = \frac{500\left( \frac{9}{4} \right)^{t/10}}{9 + \left( \frac{9}{4} \right)^{t/10}}

Dividing the numerator and denominator by (94)t/10\left( \frac{9}{4} \right)^{t/10},

P=5001+9(49)t/10P = \frac{500}{1 + 9\left( \frac{4}{9} \right)^{t/10}}
To check your answer: at t=0t = 0, P=5001+9=50P = \frac{500}{1 + 9} = 50 ✓; at t=10t = 10, P=5001+9(4/9)=5005=100P = \frac{500}{1 + 9(4/9)} = \frac{500}{5} = 100 ✓

∴\therefore P=5001+9(49)t/10P = \frac{500}{1 + 9\left( \frac{4}{9} \right)^{t/10}}.

Part (c)

2 marks
P→500 as t→∞P \rightarrow 500\ \text{as}\ t \rightarrow \infty

Explanation: since 0<49<10 < \frac{4}{9} < 1, (49)t/10→0\left( \frac{4}{9} \right)^{t/10} \rightarrow 0 as t→∞t \rightarrow \infty, so P→5001+0=500P \rightarrow \frac{500}{1 + 0} = 500. The refined model therefore predicts the population levels off at a fixed carrying capacity of 500500. The first model, P=50×2t/10P = 50 \times 2^{t/10}, instead grows without bound as t→∞t \rightarrow \infty, which is unrealistic since real populations are constrained by limited resources, space and food supply. The refined model is an improvement because it captures this constraint.

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