How Do You Solve the Verhulst Equation for Logistic Population Growth?

  • Thread starter Thread starter gpax42
  • Start date Start date
Click For Summary
SUMMARY

The discussion focuses on solving the Verhulst equation for logistic population growth, represented by the differential equation dP/dt = rP(1 - P/K), where r is the growth rate and K is the carrying capacity. The initial approach involved changing variables and attempting integration, but the correct method requires separating variables and using partial fractions. The final solution derived is P(t) = K / (1 + Me^(-rt)), where M is defined in terms of initial population P0.

PREREQUISITES
  • Understanding of differential equations, specifically separation of variables.
  • Familiarity with integration techniques, including partial fractions.
  • Knowledge of logistic growth models in population dynamics.
  • Basic algebraic manipulation skills for solving equations.
NEXT STEPS
  • Study the method of separation of variables in differential equations.
  • Learn about partial fraction decomposition for integrating rational functions.
  • Explore logistic growth models and their applications in biology and ecology.
  • Practice solving similar differential equations to reinforce understanding.
USEFUL FOR

Students of mathematics, particularly those studying differential equations, as well as biologists and ecologists interested in population dynamics and growth modeling.

gpax42
Messages
25
Reaction score
0
Hi all, it's been a over a year since I took my differential equations and linear algebra course and I'm currently enrolled in a class that assigned this problem as a sort of refresher on analytically solving differential equations. I can't seem to remember the proper approach to going about all this and I'm no longer in possession of my textbook from the previous course. Any help would be greatly appreciated :redface:

Homework Statement

Using methods for solving differential equations exactly, solve the Verhulst equation for logistic population growth

\frac{dP}{dt}= rP(1 - P/K)

where r is the growth rate and K is the carrying capacity.


The attempt at a solution

I began by altering the equation so as to create a more solvable form...

Dividing through by K on both sides gives me

\frac{d}{dt}\frac{P}{K} = r\frac{P}{K}(1 - P/K)

I then set x = P/K

\frac{dx}{dt} = rx(1-x)

at this point I know I need to integrate both sides

dx = rx(1-x)dt
following integration...
x(t) = [rx(1-x)]t + C

is this even remotely correct?

Thanks again for any help you can lend me

-gpax42
 
Physics news on Phys.org
gpax42 said:
Hi all, it's been a over a year since I took my differential equations and linear algebra course and I'm currently enrolled in a class that assigned this problem as a sort of refresher on analytically solving differential equations. I can't seem to remember the proper approach to going about all this and I'm no longer in possession of my textbook from the previous course. Any help would be greatly appreciated :redface:

Homework Statement

Using methods for solving differential equations exactly, solve the Verhulst equation for logistic population growth

\frac{dP}{dt}= rP(1 - P/K)

where r is the growth rate and K is the carrying capacity.


The attempt at a solution

I began by altering the equation so as to create a more solvable form...

Dividing through by K on both sides gives me

\frac{d}{dt}\frac{P}{K} = r\frac{P}{K}(1 - P/K)

I then set x = P/K

\frac{dx}{dt} = rx(1-x)

at this point I know I need to integrate both sides

dx = rx(1-x)dt
following integration...
x(t) = [rx(1-x)]t + C

is this even remotely correct?

-gpax42

No, it isn't. First, essentially changing the dependent variable from P to x accomplishes nothing except renaming it. Your x is an unknown function of t and its integral isn't xt.

You want to review separation of variables. Separate the P and t:

\frac {dP}{P(1-P)}= \frac r K dt

Then integrate both sides. You will want to use partial fractions on the left side.
 
ahhh I see... when I separated variables, however, I found...

\intdP/[P(1-P/k)] = \intrdt

I then manipulated the left side to read

K/[P(K-P)] ... after partial fractions... = 1/P + 1/(K-P)

int[1/P + 1/(K-P) )dP] = int[rdt]

following through with integration leads to

ln(abs(P/(K-P))) = rt + C

e^(rt + C) = abs[P/(K-P)]

e^(-rt-C) = abs[(K-P)/P]

+/- e^(-rt) * e^(-C) = K/P - 1

if you let M = +/- e^(-C)
then
M*e^(-rt) = K/P - 1

solving further...


P(t) = K / (1+Me^(-rt))

at t = 0 ; P = P0

P0 = K / (1+M)

M =( K - P0 ) / P0
 

Similar threads

  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
Replies
3
Views
2K
Replies
7
Views
2K
Replies
5
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K