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A population growth is modelled by the differential equation 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 - 2006 - Paper 6

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A population growth is modelled by the differential equation dP/dt = kP, where P is the population, t is the time measured in days and k is a positive constant. G... show full transcript

Worked Solution & Example Answer:A population growth is modelled by the differential equation 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 - 2006 - Paper 6

Step 1

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

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Answer

To solve the differential equation

dP/dt = kP,

we begin by separating the variables:

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

Next, we integrate both sides:

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

This gives:

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

Using the initial condition when t = 0, P = P0, we find:

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

Thus, substituting back, we have:

ln(P)=kt+ln(P0)\ln(P) = kt + \ln(P_0)

Exponentiating both sides results in:

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

Step 2

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

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Answer

Setting P = 2P0 in the equation we found:

2P0=P0ekt.2P_0 = P_0 e^{kt}.

Dividing both sides by P0 gives:

2=ekt.2 = e^{kt}.

Taking the natural logarithm of both sides:

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

Substituting k = 2.5, we find:

t=ln(2)2.50.2778282827,...t = \frac{\ln(2)}{2.5} \approx 0.2778282827\text{,...}

This evaluates to approximately 399 minutes, rounding to the nearest minute yields: 399 minutes.

Step 3

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

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Answer

We start with the given differential equation:

dP/dt = λP cos(λt).

Separating the variables, we have:

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

Now integrating both sides:

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

This results in:

ln(P)=λλsin(λt)+C\ln(P) = \frac{λ}{\lambda} sin(\lambda t) + C

Next, applying the initial condition once more:

When t = 0, P = P0 implies:

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

Thus, we can express it as:

ln(P)=sin(λt)+ln(P0)\ln(P) = sin(\lambda t) + \ln(P_0)

Exponentiating gives:

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

Step 4

(d) 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 = 2P0 in our derived equation:

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

Dividing both sides by P0:

2=esin(λt).2 = e^{sin(\lambda t)}.

Taking the natural logarithm:

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

Recalling that λ = 2.5, we can find t:

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

which leads to:

t=sin1(ln(2)).t = \sin^{-1}(\ln(2)).

When calculated, we receive approximate values, rounding gives us around 441 minutes.

Thus, to the nearest minute: 441 minutes.

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