How to find eigen values of Fischer's equation?
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Just like we have eigen values for heat equation as lambda=n*pi/l type. How can we find eigen values for the Fischer's equation. I'm attaching the file in which I've attempted to do so? But I'm not sure if it's correct?

14 Comments
Torsten
on 30 Apr 2024
You forgot to attach the file.
simran
on 30 Apr 2024
Sam Chak
on 30 Apr 2024
I'm unfamiliar with the Fisher equation, but I recognize that the following state-space system

is a 2nd-order nonlinear differential equation
Where does the Fisher equation fit in this system?
simran
on 30 Apr 2024
@simran, here's how you can solve the nonlinear system using the ode45 solver. However, I'm uncertain about finding the eigenvalues for the Fisher equation. Could you please explain the relationship between the Fisher equation and this nonlinear system?
tspan = [0 100]; % simulation time
x0 = [0.999 0]; % initial values
[t, x] = ode45(@odesys, tspan, x0); % call ode45 solver
plot(t, x), grid on, xlabel('t'), legend('\phi', '\psi')
function dxdt = odesys(t, x)
% initialization
dxdt = zeros(2, 1);
% definitions
phi = x(1);
psi = x(2);
% parameter
c = 2;
% differential equations
dxdt(1) = psi;
dxdt(2) = - (1 - phi)*phi^2 - c*psi;
end
simran
on 1 May 2024
Sam Chak
on 1 May 2024
Has the system in your problem been considered solved now?
simran
on 1 May 2024
simran
on 1 May 2024
Sam Chak
on 1 May 2024
I searched online for how to solve ODEs and copied the code from the ode45 link. Then, I arbitrarily chose c = 2. However, only you know the true value. What is the actual value of c?
simran
on 1 May 2024
simran
on 1 May 2024
Torsten
on 1 May 2024
I don't know how eigenvalues of the nonlinear Fisher's equation are mathematically defined. Can you show us the equation with the "lambda" in it ?
@simran, Sometimes we get confused when we first start to learn a new material. This is normal. What are the eigenvalues of the linearized dynamical system? Since the nonlinear Fisher equation contains only one nonlinear term, I visualized the linear approximation around a selected operating point at
.
x = linspace(0, 1, 101); % range of x
f = @(x) x.*(1 - x).*x; % nonlinear function
xop = 1/3; % operating point
Lin = 1/3*(x - xop) + f(xop); % linear approximation around xop
plot(x, f(x), x, Lin), grid on
title('Linear approximation of f(\phi) at \phi = 1/3')
xlabel('\phi'), legend('Nonlinear', 'Linear', 'location', 'northwest', 'fontsize', 14)
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