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A population growth is modelled by the differential equation $$\frac{dP}{dt} = kP,$$ where $P$ is the population, $t$ is the time measured in days and $k$ is a positive constant - Edexcel - A-Level Maths Pure - Question 3 - 2007 - Paper 8

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A population growth is modelled by the differential equation $$\frac{dP}{dt} = kP,$$ where $P$ is the population, $t$ is the time measured in days and $k$ is a posit... show full transcript

Worked Solution & Example Answer:A population growth is modelled by the differential equation $$\frac{dP}{dt} = kP,$$ where $P$ is the population, $t$ is the time measured in days and $k$ is a positive constant - Edexcel - A-Level Maths Pure - Question 3 - 2007 - Paper 8

Step 1

solve the differential equation, giving P in terms of P0, k and t.

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Answer

To solve the differential equation dPdt=kP\frac{dP}{dt} = kP, we first separate the variables:

dPP=kdt\frac{dP}{P} = k \, dt

Then we integrate both sides:

dPP=kdt\int \frac{dP}{P} = \int k \, dt

This gives us:

ln(P)=kt+C\ln(P) = kt + C

Where CC is the constant of integration. Exponentiating both sides, we find:

P=ekt+C=eCekt.P = e^{kt + C} = e^{C} e^{kt}.

Using the initial condition P(0)=P0P(0) = P_0, we substitute:

P0=eCP_0 = e^{C}

Thus:

$$P = P_0 e^{kt}.$

Step 2

find the time taken, to the nearest minute, for the population to reach 2P0.

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Answer

Setting P=2P0P = 2P_0 gives:

2P0=P0ekt2P_0 = P_0 e^{kt}

Dividing both sides by P0P_0:

2=ekt2 = e^{kt}

Taking the natural logarithm of both sides:

ln(2)=kt\ln(2) = kt

Now substituting k=2.5k = 2.5:

t=ln(2)2.5.t = \frac{\ln(2)}{2.5}.

Calculating this gives approximately:

t0.277828822.t \approx 0.277828822.

Converting this into minutes:

t0.277828822×6016.67 minutest \approx 0.277828822 \times 60 \approx 16.67 \text{ minutes}

Thus, rounding to the nearest minute, the time taken is approximately 17 minutes.

Step 3

solve the second differential equation, giving P in terms of P0, λ and t.

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Answer

To solve the second differential equation dPdt=λPcos(λt)\frac{dP}{dt} = \lambda P \cos(\lambda t), we separate variables:

dPP=λcos(λt)dt\frac{dP}{P} = \lambda \cos(\lambda t) \, dt.

Integrating both sides:

dPP=λcos(λt)dt\int \frac{dP}{P} = \int \lambda \cos(\lambda t) \, dt

This results in:

ln(P)=sin(λt)+C\ln(P) = \sin(\lambda t) + C

Now, using the initial condition P(0)=P0P(0) = P_0:

ln(P0)=C.\ln(P_0) = C.

Thus, we can express the solution as:

$$P = P_0 e^{\sin(\lambda t)}.$

Step 4

find the time taken, to the nearest minute, for the population to reach 2P0 for the time, using the improved model.

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Answer

Setting P=2P0P = 2P_0 gives:

2P0=P0esin(λt)2P_0 = P_0 e^{\sin(\lambda t)}.

Dividing both sides by P0P_0:

2=esin(λt)2 = e^{\sin(\lambda t)}.

Taking the natural logarithm of both sides:

ln(2)=sin(λt)\ln(2) = \sin(\lambda t).

Given λ=2.5\lambda = 2.5, we have:

sin(λt)=sin(2.5t).\sin(\lambda t) = \sin(2.5t).

To find tt, we rearrange:

t=arcsin(ln(2))/2.5t = \arcsin(\ln(2)) / 2.5.

Calculating gives:

t0.303638374×6018.21extminutes.t \approx 0.303638374 \times 60 \approx 18.21 ext{ minutes}.

Thus, rounding to the nearest minute, the time taken is approximately 18 minutes.

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