Modelling Population - The Logistic Equation

The logistic equation is used to model populations. It is suppose that the rate of increase of a the population of a species is proportional to the population and to difference between some maximum stable population and the population.
\[\frac{dP}{dt}=kP(P_0-P)\]

where  
\[\frac{dP}{dt}\]
  is the rte of population increase
\[k \ge 0\]
  is constant of proportionality
\[P \ge 0\]
  is the population
\[P_0 \ge 0\]
  is the maximum stable population
We can solve this equation by separation of variables.
\[\frac{dP}{(P(P_0-P)}=dt\]

Write nbsp;
\[\frac{dP}{(P(P_0-P)}\]
  as partial fractions
\[\frac{dP}{(P(P_0-P)}=\frac{1/P_0}{P}+ \frac{1/P_0}{P_0-P}\]

Now integrate.
\[\int \frac{1/P_0}{P}+\frac{1/P_0}{P_0-P} dP = \int dt\]

\[\frac{1}{P_0}ln(P)- \frac{1}{P_0} ln(P_0-P)=kt+C\]

\[ln(P)- ln(P_0-P)=P_0(kt+C)\]

\[ln(\frac{P}{P_0-P})=P_0(kt+C)\]

\[\frac{P}{P_0-P}=e^{P_0(kt+C)}=Ae^{kt}\]

\[P=(P_0-P)Ae^{kt}=P_0Ae^{kt}-PAe^{kt}\]

\[P+PAe^{kt}=P_0Ae^{kt}\]

\[P(1+Ae^{kt})=P_0Ae^{kt}\]

\[P=\frac{P_0Ae^{kt}}{1+Ae^{kt}}=\frac{AP_0}{e^{-kt}+A}\]

\[A\]
  is an arbitrary constant.
As  
\[t \rightarrow m\infty , \: P \rightarrow P_0\]
.

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