Re: Matrix inverse question
- From: Chip Eastham <hardmath@xxxxxxxxx>
- Date: Thu, 29 May 2008 19:59:13 -0700 (PDT)
On May 29, 9:59 pm, David <david.dav...@xxxxxxxxx> wrote:
Hi,
Say I is the identity matrix, and M and K are real, symmetric positive
semi-definite (psd) matrices. All are n x n matrices, to be concrete.
Is I+MK necessarily invertible?
If MK were PSD (e.g. if M and K had t same eigenvetors), then it's
obviously true, but MK is not even symmetric in general.
Thanks,
David
Suppose M were actually positive definite, i.e.
invertible. Then I + MK is not invertible implies
there exists nonzero vector u s.t. MKu = -u, and
thus Ku = -M^(-1)u. But this is a contradiction
since u'Ku >= 0 while u'(-M^(-1)u) < 0.
So the conclusion would be that I + MK is invertible.
We can extend this to the case M is semi-definite
by a perturbation argument. In particular:
I + MK = I + (M + cI)K - cK
and for sufficiently small c > 0, M + cI becomes
positive definite, I - cK is positive definite,
and:
I + (M + cI)K - cK = (I - cK) + (M + cI)K
= ( I + (M + cI)K(I - cK)^-1 ) (I - cK)
So it is only necessary to note that because K
commutes with I - cK, the product K(I - cK)^-1
must also be symmetric positive semi-definite.
Thus the general case reduces to the special
case M positive definite argued above.
regards, chip
.
- Follow-Ups:
- Re: Matrix inverse question
- From: David
- Re: Matrix inverse question
- References:
- Matrix inverse question
- From: David
- Matrix inverse question
- Prev by Date: Re: Numbers: Large and small; Real and fake
- Next by Date: Re: question about Euler's equation
- Previous by thread: Matrix inverse question
- Next by thread: Re: Matrix inverse question
- Index(es):
Relevant Pages
|
|