Comment #3 on issue 3991 by [email protected]: Conjugate transpose of
scalar exponential treated like matrix
http://code.google.com/p/sympy/issues/detail?id=3991
That's good to know. Two questions about the PR though:
1) I noticed that inline binary operations like addition, multiplication,
and exponentiation don't preserve the value of "is_complex":
In [1]: from sympy import *
In [2]: beta = symbols('beta', complex=True)
In [3]: beta.is_complex
Out[3]: True
In [4]: (beta + beta).is_complex
In [5]:
2) Is it conceivable that a function with only complex arguments might
return a matrix (I'm relatively new to SymPy, but I'm thinking of something
like a constructor for a diagonal matrix, although that is equal to its
transpose as well), or that a function with non-complex arguments might
return a complex value (such as a trace function)? Is there a comprehensive
and logical way we can handle all these cases?
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