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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 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 3-2007-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 3 - 2007 - Paper 7

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 (\frac{dP}{dt} = kP), we start by separating variables:

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

Next, we integrate both sides:

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

This gives us:

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

To find the constant of integration CC, we apply the initial condition P(0)=P0P(0) = P_0:

lnP0=C\ln P_0 = C

Thus, we can rewrite our equation as:

lnP=kt+lnP0\ln P = kt + \ln P_0

Exponentiating both sides, we derive:

P=P0ektP = 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

We set the equation from part (a) with the target population:

2P0=P0ekt2P_0 = P_0 e^{kt}

Dividing through by P0P_0 yields:

2=ekt2 = e^{kt}

Taking the natural logarithm of both sides leads to:

ln2=kt\ln 2 = kt

Now, substituting k=2.5k = 2.5:

t=ln22.50.277258... dayst = \frac{\ln 2}{2.5} \approx 0.277258...\text{ days}

Converting days to minutes (1 day = 1440 minutes):

t0.277258×1440399.36... minutest \approx 0.277258 \times 1440 \approx 399.36... \text{ minutes}

Thus, rounding to the nearest minute, we find:

t399 minutest \approx 399 \text{ minutes}.

Step 3

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

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Answer

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

Again, we separate the variables: dPP=λcos(At)dt\frac{dP}{P} = \lambda \cos(At) \, dt

Next, we integrate both sides: dPP=λcos(At)dt\int \frac{dP}{P} = \int \lambda \cos(At) \, dt

This results in: lnP=λsin(At)A+C\ln P = \lambda \frac{\sin(At)}{A} + C

Using the initial condition P(0)=P0P(0) = P_0, we find: lnP0=C\ln P_0 = C

Thus, we can express our equation as: lnP=λsin(At)A+lnP0\ln P = \lambda \frac{\sin(At)}{A} + \ln P_0

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

Step 4

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

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Answer

Setting the population equation from part (c) to 2P02P_0: 2P0=P0eλsin(At)A2P_0 = P_0 e^{\lambda \frac{\sin(At)}{A}}

Dividing through by P0P_0 gives: 2=eλsin(At)A2 = e^{\lambda \frac{\sin(At)}{A}}

Taking the logarithm of both sides leads to: ln2=λsin(At)A\ln 2 = \lambda \frac{\sin(At)}{A}

Substituting λ=2.5\lambda = 2.5: ln2=2.5sin(At)A\ln 2 = 2.5 \frac{\sin(At)}{A}

To isolate tt, we multiply both sides by A/2.5A/2.5: t=Aln22.5sin(At)t = \frac{A \ln 2}{2.5 \sin(At)}

This equation requires numerical methods to solve for tt. Assuming specific values for AA, we can find the corresponding time. After numerical evaluation and approximation, round to the nearest minute.

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