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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 1 - 2007 - Paper 7

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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 1-2007-Paper 7.png

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 pos... 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 1 - 2007 - Paper 7

Step 1

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

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Answer

We start with the equation:

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

To solve this differential equation, we can separate the variables:

1PdP=kdt\frac{1}{P}dP = k dt

Integrating both sides gives:

1PdP=kdt\int \frac{1}{P}dP = \int k dt

This leads us to:

lnP=kt+C\ln|P| = kt + C

Exponentiating both sides, we find:

P=ekt+CP = e^{kt + C}

We can express CC in terms of the initial population P0P_0 using the condition when t=0t = 0, giving us:

P(0)=P0=eCP(0) = P_0 = e^C

Thus,

C=lnP0C = \ln P_0

Substituting this back gives:

P=ektP0=P0ekt.P = e^{kt}P_0 = 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

We know:

P=2P0P = 2P_0

From the equation we derived earlier:

2P0=P0ekt2P_0 = P_0 e^{kt}

Dividing both sides by P0P_0 (assuming P0>0P_0 > 0), we get:

2=ekt2 = e^{kt}

Taking the natural logarithm of both sides results in:

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

Substituting k=2.5k = 2.5 gives:

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

t0.6931472.50.2772588... days=0.2772588×1440,ext(since1day=1440min)t \approx \frac{0.693147}{2.5} \approx 0.2772588... \text{ days} = 0.2772588 \times 1440, ext{ (since 1 day = 1440 min)}

This yields approximately 399.8399.8 minutes, or about 66 hours and 3939 minutes when rounded to the nearest minute.

Step 3

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

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Answer

The new equation is:

dPdt=λPcosAt\frac{dP}{dt} = \lambda P \cos At

We again separate the variables:

1PdP=λcosAtdt\frac{1}{P} dP = \lambda \cos At \, dt

Integrating both sides yields:

1PdP=λcosAtdt\int \frac{1}{P} dP = \lambda \int \cos At \, dt

This leads us to:

lnP=λAsinAt+C\ln|P| = \frac{\lambda}{A} \sin At + C

Exponentiating both sides gives:

P=eλAsinAt+C=eCeλAsinAt.P = e^{\frac{\lambda}{A} \sin At + C} = e^C e^{\frac{\lambda}{A} \sin At}.

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

P0=eCC=lnP0,P_0 = e^C \Rightarrow C = \ln P_0,
so we find:

P=P0eλAsinAtP = P_0 e^{\frac{\lambda}{A} \sin At}

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 the population to double:

P=2P0,P = 2P_0,

yielding:

2P0=P0eλAsinAt2P_0 = P_0 e^{\frac{\lambda}{A} \sin At}

Dividing by P0P_0 gives us:

2=eλAsinAt2 = e^{\frac{\lambda}{A} \sin At}

Taking logarithm:

ln(2)=λAsinAt.\ln(2) = \frac{\lambda}{A} \sin At.
Substituting lambda=2.5 lambda = 2.5 yields:

sinAt=ln(2)A2.5.\sin At = \frac{\ln(2) A}{2.5}.

To solve this, we need the value of AA. Rearranging gives:

t=arcsin(ln(2)A2.5)A.t = \frac{\arcsin \left( \frac{\ln(2) A}{2.5} \right)}{A}. Hence, we need a specific value of AA to compute the exact time.

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