Dealing with boundary conditions in system of ODEs

AI Thread Summary
The discussion focuses on using the centered finite difference method to plot steady state concentrations of yA, yB, and yu in a system of partial differential equations (PDEs). The user is unsure about the correct boundary conditions to apply, particularly regarding the placement of yA in their finite difference approximations. They highlight the challenge of dealing with derivative boundary conditions in MATLAB, contrasting them with simpler fixed boundary conditions. A solution is proposed involving the introduction of a fictitious point to handle the flux boundary condition effectively. This approach is presented as a standard method for addressing such boundary conditions in numerical simulations.
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Homework Statement


I'm trying to plot the steady state concentration of yA vs. x, yB vs x and yu vs x using centered finite difference method.
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Homework Equations


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The Attempt at a Solution


τ represents the dimensionless time variable, so steady state would mean that the left hand side of each of the differential equations is 0.

I began this problem by replacing the derivatives that appear in the differential equations with the finite difference approximations for them. For example, yA:
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I also used the boundary conditions:
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but I don't know at which point, I am taking yA on the right side from. In the below equation should yA on the right side be yA,1 or something else (since the below equation estimates the derivative at the node n=1?
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More importantly, how do I deal with this type of boundary condition in Matlab? I am used to dealing with boundary conditions such as yA(0,t)=0 for which I can simply initialize Y(1)=0 in MATLAB but in this case I'm given a derivative boundary condition.
 
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These aren't ODEs; they're PDEs.
 
What you do is add a fictitious point at -1 such that:

\frac{y_{1}-y_{-1}}{2h}=-(1-y_0)

Combining this with ##\frac{(y_{-1}+2y_0+y_1)}{h^2}## gives:

\frac{(y_{-1}-2y_0+y_1)}{h^2}=\frac{2(y_1-y_0)}{h^2}-\frac{2(1-y_0)}{h}

You solve the time-dependent equation at x = 0, and use this in that equation. This is a standard way of handling that type of flux boundary condition.

Chet
 
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