Solve Linear ODE: Find A(B) Equation

  • Thread starter Thread starter Zeth
  • Start date Start date
  • Tags Tags
    Linear Ode
Click For Summary

Homework Help Overview

The problem involves a system of nonlinear coupled ordinary differential equations (ODEs) that describe the interaction between two populations, A and B. The goal is to derive an equation for A as a function of B, treating A as dependent on B.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the nature of the equations, identifying them as nonlinear coupled ODEs and referencing the Lotka-Volterra model. There is mention of linearizing the system around critical points to simplify the analysis. Questions arise regarding the implications of negative growth rates for one of the populations.

Discussion Status

The discussion is ongoing, with participants exploring different interpretations of the equations and the implications of linearization. Some guidance has been offered regarding the critical points and the potential simplifications that can be made near these points, but no consensus has been reached on a specific method for solving the equations.

Contextual Notes

Participants note that this is an extension revision problem not covered in their notes, indicating a potential gap in foundational knowledge. There is also a consideration of setting parameters to specific values for simplification, which may affect the generality of the discussion.

Zeth
Messages
23
Reaction score
0

Homework Statement


[tex]\frac {dA} {dx} = \alpha A - \beta AB[/tex]

[tex]\frac {dB} {dx} = \gamma B + \delta AB[/tex]

Let A(x) and B(x) be two populations that influence each other and treat A(x) as a function of B, find an ODE for A(B).

This is an extention revision problem so its not in my notes. What is this kind of problem called and a link to an explanation of how this type of equation should be solved would be very appriciated.
 
Physics news on Phys.org
These look like nonlinear coupled differential equations. If [tex]\gamma[/tex] is -ve, I think this would be the Lotka-Volterra model.

The way I'd do it, is to "linearize" the system of eqns around the critical point by ignoring the non-linear terms.
 
Last edited:
Yes I noticed that gamma should be negative as well since it doesn't make sense for predators to grow exponentially even if they catch no prey. I'll ask the lecturer about it. And thanks I'm having a look at the wikipage for it now.

"The way I'd do it, is to "linearize" the system of eqns around the critical point by ignoring the non-linear terms."

Say what? I've never heard about that before.
 
Last edited:
Zeth said:
Yes I noticed that gamma should be negative as well since it doesn't make sense for predators to grow exponentially even if they catch no prey. I'll ask the lecturer about it. And thanks I'm having a look at the wikipage for it now.

"The way I'd do it, is to "linearize" the system of eqns around the critical point by ignoring the non-linear terms."

Say what? I've never heard about that before.

For the sake of simplicity, I'm setting [tex]\alpha=\beta=\gamma=\delta=1[/tex], and so

[tex]\frac{dA}{dx} = A - AB = A(1-B)[/tex]

[tex]\frac{dB}{dx} = -B + AB = B(A-1)[/tex]

The critical points for this set of eqns are (A,B) being (0,0) and (1,1).
In the region very near (0,0), if you drop non-linear terms (as it's negligible), you'll have

[tex]\frac{dA}{dx} = A[/tex]

[tex]\frac{dB}{dx} = - B[/tex]

which you can solve for. However, this would obviously hold only very near the critical point.

To solve near (1,1), set u=A-1, v=B-1 and again drop the non-linear terms. The thing is, this would give you an idea of what the trajectories of the solution look like in the phase space of A & B.
 
Last edited:

Similar threads

Replies
4
Views
2K
Replies
5
Views
2K
Replies
3
Views
2K
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 18 ·
Replies
18
Views
4K
Replies
9
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K