[Numpy-discussion] One question about the numpy.linalg.eig() routine
Mon Apr 2 19:38:54 CDT 2012
Both results are correct.
There are 2 factors that make the results look different:
1) The order: the 2nd eigenvector of the numpy solution corresponds to the
1st eigenvector of your solution,
note that the vectors are written in columns.
2) The phase: an eigenvector can be multiplied by an arbitrary phase factor
with absolute value = 1.
As you can see this factor is -1 for the 2nd eigenvector
and -0.99887305445887753-0.047461785427773337j for the other one.
2012/4/2 Hongbin Zhang <email@example.com>
> Dear Python-users,
> I am currently very confused about the Scipy routine to obtain the
> eigenvectors of a complex matrix.
> In attached you find two files to diagonalize a 2X2 complex Hermitian
> matrix, however, on my computer,
> If I run python, I got:
> [[ 0.80322132+0.j 0.59500941+0.02827207j]
> [-0.59500941+0.02827207j 0.80322132+0.j ]]
> If I compile the fortran code, I got:
> ( -0.595009410289, -0.028272068905) ( 0.802316135182, 0.038122316497)
> ( -0.803221321796, 0.000000000000) ( -0.595680709955, 0.000000000000)
> From the scipy webpage, it is said that numpy.linalg.eig() provides
> nothing but
> an interface to lapack zheevd subroutine, which is used in my fortran code.
> < /div>
> Would somebody be kind to tell me how to get consistent results?
> Many thanks in advance.
> Best wishes,
> Ad hoc, ad loc
> and quid pro quo
> --- Jeremy Hilary Boob
> NumPy-Discussion mailing list
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