On Tue, Jun 25, 2013 at 2:32 PM, F. B. <franz.bona...@gmail.com> wrote:
> Can this be done on the DifferentialOperator too?

Sure, _eval_power works on everything.

>
> 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)

Not if you submit a pull request...

Aaron Meurer

>
>
> 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. <franz....@gmail.com> 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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