Post

Created by @nathanedwards
 at November 4th 2023, 2:09:20 pm.

Question:

A population is currently growing at a rate proportional to its size. The logistic growth equation for this population is given by:

dPdt=kP(1PM) \frac{dP}{dt} = kP \left(1- \frac{P}{M}\right)

Where:

  • dPdt\frac{dP}{dt} represents the rate of change of the population with respect to time.
  • PP represents the population size.
  • MM represents the carrying capacity of the population.
  • kk represents the proportionality constant.

Given that the population size PP is initially 100 and the carrying capacity MM is 200, answer the following questions:

(a) Determine the differential equation that represents the given logistic growth equation.

(b) Solve the differential equation from part (a) to find the function P(t)P(t) that models the population growth.

(c) Find the population size after 3 units of time, using the function P(t)P(t) from part (b).

Answer:

(a) To determine the differential equation, we differentiate PP with respect to tt:

dPdt=kP(1PM) \frac{dP}{dt} = kP \left(1- \frac{P}{M}\right)

Therefore, the differential equation is:

dPdt=kP(1PM) \frac{dP}{dt} = kP \left(1- \frac{P}{M}\right) (b)
dPP(1PM)=kdt \frac{dP}{P \left(1- \frac{P}{M}\right)} = k dt

Next, we decompose the fraction on the left side using partial fractions:

1P(1PM)=AP+B1PM \frac{1}{P \left(1- \frac{P}{M}\right)} = \frac{A}{P} + \frac{B}{1-\frac{P}{M}}

Multiplying through by P(1PM)P \left(1- \frac{P}{M}\right), we get:

1=A(1PM)+BP 1 = A \left(1- \frac{P}{M}\right) + BP

Simplifying the equation, we have:

1=A+(BABM)P 1 = A + \left(B - \frac{AB}{M}\right)P

Since the left side is a constant, the coefficients of PP on the right side must also be equal to a constant. Therefore, we have:

A=1andBABM=0 A = 1 \quad \text{and} \quad B - \frac{AB}{M} = 0

Now, substituting these values back into the fraction, we get:

1P(1PM)=1P1M1PM \frac{1}{P \left(1- \frac{P}{M}\right)} = \frac{1}{P} - \frac{\frac{1}{M}}{1-\frac{P}{M}}

Substituting this back into the original equation, we have:

1P1M1PM=kdt \frac{1}{P} - \frac{\frac{1}{M}}{1-\frac{P}{M}} = k dt

Integrating both sides, we obtain:

lnPlnMP=kt+C \ln|P| - \ln|M-P| = kt + C

Applying the logarithmic property ln(AB)=lnAlnB\ln\left(\frac{A}{B}\right) = \ln A - \ln B, we can simplify the equation further:

ln(PMP)=kt+C \ln\left(\frac{P}{M-P}\right) = kt + C

Finally, we exponentiate both sides to obtain the population growth model P(t)P(t):

PMP=ekt+C \frac{P}{M-P} = e^{kt+C}

After rearranging and solving for PP, we get:

P(t)=M1+(MP01)ekt P(t) = \frac{M}{1+\left(\frac{M}{P_0}-1\right)e^{-kt}}

where P0P_0 represents the initial population size.

(c) To find the population size after 3 units of time, we substitute t=3t = 3 into the function P(t)P(t) from part (b) with P0=100P_0 = 100 and M=200M = 200:

P(3)=2001+(2001001)ek(3) P(3) = \frac{200}{1+\left(\frac{200}{100}-1\right)e^{-k(3)}}

Simplifying further, we get:

P(3)=2001+e3k P(3) = \frac{200}{1+e^{-3k}}

Thus, the population size after 3 units of time is given by P(3)=2001+e3kP(3) = \frac{200}{1+e^{-3k}}.