I want to set up a PDE model, which takes a two-dimensional diffusion equation into account. The key problem is that I have some trouble in solving the two-dimensional diffusion equation numerically. Consider the following code:
L = 10;
T = 10;
system = {
D[c[x, y, t], {t, 1}] == D[c[x, y, t], {x, 2}] + D[c[x, y, t], {y, 2}],
Derivative[1, 0, 0][c][0, y, t] == 0,
Derivative[1, 0, 0][c][L, y, t] == 0,
c[x, 0, t] == c[x, L, t],
c[x, y, 0] == 1
};
sol = NDSolve[system, c, {x, 0, L}, {y, 0, L}, {t, 0, T}];
Manipulate[Plot3D[Evaluate[c[x, y, t] /. sol], {x, 0, L}, {y, 0, L}], {{t,T}, 0, T}]
As you can see for t = 10
there are artifacts at the two edges where the Neumann conditions were applied.
Obviously, c[x, y, t] = 1
solves the system and since this is the initial condition Mathematica should have no trouble to compute it numerically. It tried various ODE solvers ("ImplicitRungeKutta"
, "BDF"
, "Adams"
), but it seems that there is some problem with the spatial discretization, perhaps because of the Neumann boundary condition for the variable x
.
Any suggestions how to fix it?
PrecisionGoal
and/orAccuracyGoal
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