Solving the logistic growth model

In summary, the logistic growth model is a differential equation with the form dx/dt=rx(1-x/K), where r and K are constants and x is a function of t. To solve this, separation of variables can be used to get an x integral, which can then be solved using partial fractions. The end result is x(t)=K/(1+ce^-rt), where c=[K-x(0)]/x(0).
  • #1
jwang34
12
0
The logistic growth model is the following:

dx/dt=rx(1-x/K), with r and K and as constants, and x is a function of t.

I'm really not sure where to begin. First I tried separation of variables, but that didn't work out (and I don't even know if I was doing it right). Should I even be looking for an integration factor in solving this? It looks simple...but I guess I'm rusty in this.

The end result is supposed to be:

x(t)=K/(1+ce^-rt) c=[K-x(0)]/x(0)

Second, I tried deriving this equation and getting it to look like the previous equation, but I think I'm missing somethings.

So just a tip or hint that can push me down the right track would be great. Thanks a lot!
 
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  • #2
Separation of variables is the right way to go. It gives you an x integral you can do easily by partial fractions. The rest is algebra. Get started and if you get stuck let us know.
 
  • #3
So separation of variables in this case would be A(t)dt+B(x)dx=0. So I would have dx/rx=(1-x/K)dt. Then, I should integrate both sides? Is this the right track?
 
  • #4
Put ALL of the x's on one side with the dx.
 
  • #5
So I get dx/(rx(1-(x/K))=dt. Then I should use partial fractions to integrate?
 
  • #6
Exactly. Use partial fractions.
 

What is the logistic growth model?

The logistic growth model is a mathematical representation of population growth that takes into account limiting factors such as resources and competition. It is also known as the Verhulst-Pearl model, after its creators Pierre-Francois Verhulst and Raymond Pearl.

How is the logistic growth model different from the exponential growth model?

The exponential growth model assumes unlimited resources and a constant growth rate, while the logistic growth model takes into consideration the carrying capacity of the environment and a decreasing growth rate as the population approaches this limit.

What is the equation for the logistic growth model?

The logistic growth model is represented by the equation dN/dt = rN(K-N)/K, where N is the population size, r is the intrinsic growth rate, and K is the carrying capacity.

How is the logistic growth model used in real life?

The logistic growth model is used in various fields such as ecology, economics, and epidemiology to predict and understand population dynamics. It can also be applied to human populations, such as predicting the growth and decline of a city's population.

What are the limitations of the logistic growth model?

The logistic growth model assumes a constant carrying capacity, which may not always be accurate in real-world situations. It also does not take into account external factors such as disasters or disease outbreaks that can affect population growth. Additionally, the model may not be suitable for predicting short-term population changes.

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