Solve 1/P*dP/dt = b+aP for Population Growth

In summary, the first approach is to use partial fractions, but the equation is separable and solving it, shows that the population approaches 3.9 as time goes on.
  • #1
zoldman
2
0
I am quite sure the first approach is to use partial fractions but I am
unclear how to finish this equation

1/P*dP/dt=b+aP
 
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  • #2
How to finish it? You haven't started it!

[tex]\frac{1}{P}\frac{dP}{dt}= b+aP[/tex]
is separable:
[tex]\frac{dP}{P(b+aP)}= dt[/tex]
Which I'm sure you knew since you ask about partial fractions.
We can write
[tex]\frac{1}{P(b+ aP)}= \frac{A}{P}+ \frac{B}{b+ aP}[/tex]
for some A and B. Multiply both sides by P(b+ aP):
[tex]1= A(b+ aP)+ BP[/tex]

What do you get if P= 0? What do you get if P= -a/b? Put those values for A and B into the fractions and integrate.
 
  • #3
Solve P=? or t=?

I appreciate the confirmation of the partial Fraction step. I arrive at the same situation:

A=1/b and B=-a/b. And I know both a and b from a linear regression.

So substituting back I get

((1/b)/P+((-a/b)/(b+aP)=dt then integrate both sides

(1/b)lnP +(-1/b)ln(b+aP)=t +C

Now my question is here how do I solve for P= f(t).
 
  • #4
zoldman said:
I appreciate the confirmation of the partial Fraction step. I arrive at the same situation:
A=1/b and B=-a/b. And I know both a and b from a linear regression.
So substituting back I get
((1/b)/P+((-a/b)/(b+aP)=dt then integrate both sides
(1/b)lnP +(-1/b)ln(b+aP)=t +C
Now my question is here how do I solve for P= f(t).
The rest is algebra:
[tex]\frac{1}{b}ln P- \frac{1}{b}ln(b+aP)= ln\left(\frac{P}{b+aP}\right)^\frac{1}{b}= t+ c[/tex]
Take exponential of both sides:
[tex]\left(\frac{P}{b+aP}\right)^\frac{1}{b}= e^{t+ C}= C'e^t[/tex]
(C= eC)
Take ath power of both sides:
[tex]\frac{P}{b+aP}=C"e^{at}[/tex]
(C"= C'a)
multiply both sides by b+ aP and expand:
[tex] P= C"e^{at}(b+ aP)= C"be^{at}+ aC"e^{at}P[/tex]
[tex] P- aC"e^{at}P= P(1- aC"e^{at})= C"be^{at}[/tex]
[tex] P= \frac{C"be^{at}}{1- aC"e^{at}[/tex]
 
  • #5
i thionk that logistic equation is more usefully written as dP/dt

= aP(1 - P/N).

of course it is separable and solving it, shows that the populaion approaches N as time goes on.
 
  • #6
Starting with:

[tex]\frac{1}{b}ln(P)-\frac{1}{b}ln(b+aP)=t+c[/tex]

multiplying by b and collecting logarithms:

[tex]ln\left[\frac{P}{b+aP}\right]=b(t+c)[/tex]

Taking exponentials:

[tex]\frac{P}{b+aP}=e^{b(t+c)}[/tex]

multiplying both sides by b+aP and collecting the P's:

[tex]P\left[1-ae^{b(t+c)}\right]=be^{b(t+c)}[/tex]

Isolating the P and then multiplying the top and bottom of the rational expression by [itex]e^{b(t+c)}[/itex] to make it cleaner leaves:

[tex]P(t)=\frac{b}{e^{-b(t+c)}-a}[/tex]

Now, how about completely characterizing the solutions in terms of a and b assuming some initial condition like P(0)=1. What would it look like whatever it was? (just a suggestion :smile: )
 
Last edited:
  • #7
I am working on the same problem; however I started out a bit different. Follwing the above; now all I need to do is substitue my a and b values; my initial condition is P sub 0 = 3.9
Am I going in the right direction?
 

1. What is the meaning of the variables in the population growth equation?

In this equation, P represents the population, t represents time, b represents the intrinsic growth rate, and a represents the carrying capacity of the environment.

2. How is this equation derived?

This equation is derived from the logistic growth model, which takes into account the carrying capacity of the environment. It is based on the assumption that as the population grows, it will eventually reach a point where resources become limited and growth slows down.

3. What is the significance of solving this equation?

Solving this equation allows us to predict how a population will change over time, taking into account the effects of both the intrinsic growth rate and the carrying capacity of the environment. It can also help us understand how different factors, such as resource availability or disease, may impact population growth.

4. What are some limitations of this equation?

This equation assumes that the growth rate and carrying capacity remain constant over time, which may not always be the case in real-world populations. It also does not account for external factors such as immigration or emigration.

5. How is this equation useful in practical applications?

This equation is commonly used in population ecology, epidemiology, and other fields to model and predict population growth. It can also be used to inform conservation efforts and manage populations of endangered species.

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