Can this be done on the DifferentialOperator too?

It would be nice to have a simple implementation of the exponential of a 
diff operator, such as exp(diff_op_instance), it would be very helpful for 
many physicists.

(by the way, the exp of a DifferentialOperator requires pdsolve to be able 
to handle initial conditions... I think it's going to take some time)

On Monday, June 24, 2013 11:06:24 PM UTC+2, Aaron Meurer wrote:
>
> Actually, fixing this just involves fixing 
> https://code.google.com/p/sympy/issues/detail?id=1799, because Pow 
> already has this logic (_eval_power). 
>
> Oh, and I guess Matrix._eval_power would need to be implemented 
> (currently it raises NotImplementedError, but this is easy to fix, 
> just make a**Matrix give exp(log(a)*Matrix). Even with that fixed, you 
> could do E**Matrix, before issue 1799 is fixed. 
>
> Aaron Meurer 
>
> On Mon, Jun 24, 2013 at 12:37 PM, F. B. <[email protected] <javascript:>> 
> wrote: 
> > Hi, I noticed the Matrix.exp() function which calculates the exponential 
> of 
> > a Matrix. 
> > 
> > The exp() function fails when calling exp(matrix) because it does not 
> > recognize the matrix object. 
> > 
> > exp is a class inheriting the "Function" object. 
> > 
> > What about creating an "ForwardFunction" object which tries to look for 
> > methods having the same name of the class to apply it? 
> > 
> > For example, the exp() function would not recognize a Matrix object in 
> its 
> > algorithm, but would notice the Matrix.exp() method on its arg and call 
> it. 
> > 
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