The matrices are not Hermitian and the eigenvalues are complex.
det(A)
ans =
3.335644330640469e+144 +1.055810386796784e+145i
det(B)
ans =
1.457124348497662e+128 +2.185687979871937e+125i
cond(A)
ans =
7.893694109796931e+013
cond(B)
ans =
8.354843024851492e+013
spy(A)
spy(B)
A and B have the block structure as shown in attached file.
Thanks,
Ahmed
________________________________________
From: Ming Gu [mgu@Domain.Removed]
Sent: Friday, August 02, 2013 12:34 PM
To: James W DEMMEL
Cc: Langou, Julien; Ahmed Kaffel; lapack@Domain.Removed
Subject: Re: [Lapack] eigenvalue problem
Are there any additional structures to your matrices, beyond one of them being
singular?
I.e., are they Hermitian (and positive definite)? Do you expect all eigenvalues
to be real?
All the best,
Ming Gu
On Wed, Jul 31, 2013 at 4:09 PM, James W DEMMEL
<demmel@Domain.Removed<mailto:demmel@Domain.Removed>> wrote:
Let me add that if B is close to singular, tiny rounding errors can cause B to
become
exactly singular and so create infinite eigenvalues. This is a standard issue
with
(nearly) singular matrices, that very tiny errors from roundoff (or just
computing the
matrix entries in the first place) can switch them from singular to nonsingular
or viceversa,
and so is an issue in solving linear systems, least squares and eigenproblems.
Generally some problemspecific information is needed to decide whether the the
singularity is a feature or a bug, and to choose how to deflate or regularize
the problem.
I agree with Julien's advice as a starting point.
Jim Demmel
On Tue, Jul 30, 2013 at 11:50 AM, Langou, Julien
<Julien.Langou@Domain.Removed<mailto:Julien.Langou@Domain.Removed>> wrote:
Hi Ahmed,
I am going to try to throw one or two keywords in there and hope you can
figure this out by yourself. As you wrote, LAPACK and matlab solve the
generalized eigenvalue AX=cBX whether A or B is singular or nonsingular
for the matter. In the case of B being singular, you have infinite
eigenvalues. Correct. If you do not want infinite eigenvalues, do not give
a singular B! ;) Now, reading your email, I guess what you would like to
do is to deflate the infinite eigenvalues from your pencil. So you want to
work on the projected pencil I guess. I am not expert in this, so I let
you figure this out by yourself. This is not something LAPACK (nor Matlab)
is doing. You need to do it yourself. I think you can also reorder the
eigenvalues to remove the one close to zeros. You should play with
"ordeig" and "ordschur" in Matlab to find the invariant subspace you are
interested in. Have a look. (Then there are a corresponding LAPACK
functions to reorder, but first I would advise you prototype in matlab.)
Cheers,
Julien.
On 7/27/13 4:36 AM, "Ahmed Kaffel"
<kaffel@Domain.Removed<mailto:kaffel@Domain.Removed>> wrote:
Hello:
I found that eig and qz matlab functions give infinite spurious modes,
I think the elimination of the spurious modes is needed when the matrix
B is singular.
Could you help me about this issue and provide me a matlab package or
lapack routine which can solve the eigenvalue problem A X= c B X when A
and B are complex and one of the matrices is singular ?
I really appreciate your help.
Best regards
Ahmed
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