Forward Euler solution plotting for dy/dt=y^2-y^3

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Hi,
I am trying to solve the flame propagation model dy/dt=y^2-y^3 with y(0)= 1/100 and 0<t<200, using the forward and backward euler method with step size 0.01. But it has been giving me errors. How should I go about this? Please help I need this for my project
Thank you
Here are my codes for the Forward Euler
h=0.01;
y(0)=2
for n=1:N
t(n+1)=n*h
opts = odeset('RelTol',1.e-4);
y(n+1)= y(n)+h*(y.^2-y.^3);
end
plot(t,y)

Accepted Answer

Davide Masiello
Davide Masiello on 15 Nov 2022
Edited: Davide Masiello on 15 Nov 2022
There are a couple of issues with your code
1) Indexes in MatLab start at 1, not 0, so y(0) is not valid syntax and must be replaced with y(1).
2) First index, then raise to the power, i.e. y^2(n) becomes y(n)^2
See example below (since you have not specified the value of delta, I arbitrarily replaced it with 0.1)
N = 100; % number of steps
t = linspace(0,200,N);
h = t(2)-t(1); % step size
y = zeros(1,N); % Initialization of solution (speeds up code)
y(1) = 1/100; % Initial condition
for n = 1:N-1
y(n+1) = y(n)+h*(y(n)^2-y(n)^3); % FWD Euler solved for y(n+1)
end
figure(1)
plot(t,y)
Now, the backward euler method is a bit more complicated because it's an implicit method.
You can use a root finder algorithm like fzero and do
N = 100; % number of steps
t = linspace(0,200,N);
h = t(2)-t(1); % step size
y = zeros(1,N); % Initialization of solution (speeds up code)
y(1) = 1/100; % Initial condition
for n = 1:N-1
f = @(x) x-y(n)-h*(x.^2-x.^3);
y(n+1) = fzero(f,y(n)); % BWD Euler solved for y(n+1)
end
figure(2)
plot(t,y)
  15 Comments
Torsten
Torsten on 23 Nov 2022
They are not dependent on the model you solve - stability regions only depend on the discretization method for the ODE
y' = f(t,y)
David
David on 23 Nov 2022
Thank you very much, this helped me so much

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