The use of differential equations allows mathematical models for population to be created. Here are a few common ones. Qualitative Analysis is very useful here, as it shows the state of the model with certain initial populations.

Let = population at time . Then is the rate of population growth.

Remember that both

Malthus (Doomsday) Model

In the doomsday model, the rate of growth is directly proportional to a a scaling value , with no other affecting factors:

(Separable ODEs)

For an initial population , the solution is:

The doomsday model has different behaviours for different values of :

  • : unbounded exponential growth
  • : population dies out
  • : population stays constant

It’s pretty unrealistic, as you can tell.

With harvesting

Remove some of the population at a constant rate.

Using Qualitative Analysis, we can see that:

  • The equilibrium solution (i.e. when ) is
  • The solution is unstable

500

Logistic Model

Inspired by Pierre-François Verhulst, the model introduces a ”competition” term, because a larger population will result in more overcrowding, diseases, etc. This competition model helps keep the population semi-stable.

  • is the birth rate of the population, like the Malthus model
  • is the competition term, with being the carrying capacity, which is the maximum population an area can sustainably hold.

Using Qualitative Analysis:

  • The equilibria solutions are
  • is an unstable solution, while is a stable solution, as can be seen in the phase plot: 1000

Fun fact, the logistic model accurately described the population of USA from 1790-1950.

With harvesting

Again, removing population at a constant rate

Solutions for this one aren’t as generalised, it’s better with an example.