Hey Priit, I don't know anything about PDE's, but if separation of  
variables in pde's is anything like separation of variables in ODEs,  
then this function I wrote might be of use to you.  Pull this branch: 
http://github.com/asmeurer/sympy/tree/odes 
  and check out the separatevars function.

Aaron Meurer
On Jun 27, 2009, at 7:53 AM, Priit Laes wrote:

>
> Hey!
>
> I have pushed a branch which contains code to handle some forms of
> separable partial equations.
>
> I have currently only implemented basic support for multiplicative
> separate case, where u(x, t) = X(x)*T(t)
>
> You can view/pull and comment the code on:
> http://github.com/plaes/sympy/tree/pde-separate
>
>
> A small example (or you can find some of them in the tests):
>
> from sympy import *
> from sympy import Derivative as D
> u, X, T = map(Function, 'uXT')
> x, t = symbols('xt')
> c = symbols('c', Real=True)
> # Define our function (one-dimensional wave equation)
> eq = Eq(D(u(x, t), t, 2), D(u(x, t), x, 2)*c**2)
> print pde_separate_mul(eq, u(x, t), [X(x), T(t)])
>
> out >> D(T(t), t, t)/T(t) == c**2*D(X(x), x, x)/X(x)
>
>
> PS. Has anyone examples of equations that can be separated using
> additive separation: u(x, t) = X(x) + T(t)
>
>
> >


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