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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 2 - 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 2 - 2007 - Paper 8

Step 1

(a) solve the differential equation, giving P in terms of P_0, k and t.

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Answer

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

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

Integrating both sides gives:

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

where CC is the constant of integration.

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

lnP0=k(0)+CC=lnP0.\ln P_0 = k(0) + C \Rightarrow C = \ln P_0.

Thus, we rewrite the equation:

$$\ln P = kt + \ln P_0 \Rightarrow P = P_0 e^{kt}.$

Step 2

(b) find the time taken, to the nearest minute, for the population to reach 2P_0.

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Answer

Given k=2.5k = 2.5, we set P=2P0P = 2P_0 in our solution:

2P0=P0e2.5t.2P_0 = P_0 e^{2.5t}.

Dividing both sides by P0P_0 results in:

2=e2.5t.2 = e^{2.5t}.

Taking the natural logarithm of both sides gives:

ln2=2.5tt=ln22.5.\ln 2 = 2.5t \Rightarrow t = \frac{\ln 2}{2.5}.

Calculating this yields:

t0.277258872.t \approx 0.277258872.

Converting this to minutes,

$$t \approx 0.277258872 \times 60 \approx 16.63663231 \text{ minutes} \Rightarrow 17 \text{ minutes (to the nearest minute)}.$

Step 3

(c) solve the second differential equation, giving P in terms of P_0, λ and t.

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Answer

The second differential equation given is dPdt=λPcos(At).\frac{dP}{dt} = \lambda P \cos(At).

Separating the variables, we get:

1PdP=λcos(At)dt.\frac{1}{P} dP = \lambda \cos(At) \, dt.

Integrating both sides results in:

lnP=λcos(At)dt+C.\ln P = \lambda \int \cos(At) \, dt + C.

The integral of cos(At)\, \cos(At) is 1Asin(At)\, \frac{1}{A} \sin(At). Therefore:

lnP=λAsin(At)+C.\ln P = \frac{\lambda}{A} \sin(At) + C.

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

lnP0=C.\ln P_0 = C.

Hence, we have:

$$P = P_0 e^{\frac{\lambda}{A} \sin(At)}.$

Step 4

(d) find the time taken, to the nearest minute, for the population to reach 2P_0 for the first time, using the improved model.

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Answer

Given that λ=2.5\lambda = 2.5, we set P=2P0P = 2P_0 in our previous solution:

2P0=P0e2.5Asin(At).2P_0 = P_0 e^{\frac{2.5}{A} \sin(At)}.

Dividing both sides by P0P_0 yields:

2=e2.5Asin(At).2 = e^{\frac{2.5}{A} \sin(At)}.

Taking the natural logarithm gives:

ln2=2.5Asin(At).\ln 2 = \frac{2.5}{A} \sin(At).

Rearranging, and isolating sin(At)\sin(At) provides:

sin(At)=Aln22.5.\sin(At) = \frac{A \ln 2}{2.5}.

We need to solve for tt for the first instance when this equals 2; hence selecting appropriate values for AA will allow us to find the time tt.

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