Ad hoc, ad loc
> and quid pro quo
>
> &n bsp;
> --- Jeremy Hilary Boob
>
>
> --------------
> Date: Mon, 2 Apr 2012 22:19:55 -0500
> From: kalat...@gmail.com
> To: numpy-discussion@scipy.org
> Subject: Re:
Hilary Boob
From: hongbin_zhan...@hotmail.com
To: numpy-discussion@scipy.org
Date: Tue, 3 Apr 2012 15:02:18 +0800
Subject: Re: [Numpy-discussion] One question about the numpy.linalg.eig()
routine
Hej Val,
Thank you very much for your replies.
Yes, I know that both eigenvectors are correct
d
pro quo
--- Jeremy Hilary Boob
Date: Mon, 2 Apr 2012 22:19:55 -0500
From: kalat...@gmail.com
To: numpy-discussion@scipy.org
Subject: Re: [Numpy-discussion] One question about the numpy.linalg.eig()
routine
BTW this extra degree of freedom can be used to "rotate" the eig
BTW this extra degree of freedom can be used to "rotate" the eigenvectors
along the unit circle (multiplication by exp(j*phi)). To those of physical
inclinations
it should remind of gauge fixing (vector potential in EM/QM).
These "rotations" can be used to make one (any) non-zero component of each
Hi,
On Mon, Apr 2, 2012 at 5:38 PM, Val Kalatsky wrote:
> 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 c
Hi,
2012/4/2 Hongbin Zhang :
> 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:
>
> [[
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 arbitra
2012/4/2 Hongbin Zhang :
> 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:
>
> [[ 0.80
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]
