It looks like it works to me.
In [1]: a, b, c, d = symbols('a b c d')
M
In [2]: print Matrix([[a,b,0,0], [c,d,0,0], [0,0, a,b], [0,0,
c,d]]).transpose().applyfunc(conjugate)
Matrix([[conjugate(a), conjugate(c), 0, 0], [conjugate(b),
conjugate(d), 0, 0], [0, 0, conjugate(a), conjugate(c)], [0, 0,
conjugate(b), conjugate(d)]])
Aaron Meurer
On Mon, Jul 15, 2013 at 8:54 AM, Matthew Rocklin <[email protected]> wrote:
> In [1]: print conjugate(Symbol('a'))
> conjugate(a)
>
>
>
> On Mon, Jul 15, 2013 at 5:35 AM, Stefan Krastanov
> <[email protected]> wrote:
>>
>> I do not know where this extremely bizarre bug comes from, but I would
>> like to remark that you can access the hermitian conjugate of a matrix
>> through `matrix.H` or the transpose through `matrix.T`.
>>
>> (It does not fix the issue of `Symbol('a')` automatically being considered
>> hermitian)
>>
>>
>> On 15 July 2013 11:01, Alex Bredariol Grilo <[email protected]> wrote:
>>>
>>> Hi,
>>> I've starting using sympy and I really like it.
>>>
>>> But I would like to report a bug I had on online shell.
>>>
>>> I was running the following piece of code:
>>> ===
>>> a, b, c, d = symbols('a b c d')
>>> Matrix([[a,b,0,0], [c,d,0,0], [0,0, a,b], [0,0,
>>> c,d]]).transpose().applyfunc(conjugate)
>>> ===
>>>
>>> But the conjugate is not being applied to "a" and "b" entries of the
>>> matrix. I tried with other
>>> functions and it seemed ok, only with conjugate I'm having this issue.
>>>
>>> Thanks in advance,
>>> Alex
>>>
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>>>
>>
>>
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>
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