Re: matrix inverse of the sum of two inverse matrices
From: Dave Rusin (rusin_at_vesuvius.math.niu.edu)
Date: 12/21/04
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Date: 21 Dec 2004 17:02:04 GMT
In article <1103477827.788120.263890@z14g2000cwz.googlegroups.com>,
<arenart@umh.es> wrote:
>-The most general problem I need to solve is to find the inverse of the
>sum of the inverses of these 2 matrices.
How do you "find" the inverse of 1/a+1/b where a and b are real numbers?
>-In a slightly more restricted problem, one of the matrices is diagonal
>in 'real' space, and the other
>is diagonal in frequency space (i.e., depends only on |i-j|, where i,j
>are indices over real space.
That's an interesting restriction, but even in the 3x3 case it does not
seem to make the problem much less complicated than inverting a general
3x3 matrix. (In higher dimensions, of course, there has to be _some_
simplification -- your sums lie in a 2N-dimensional subspace of an
N^2-dimensional space.)
>-In an even more restricted case (this is the one where I really hope
>to get some help), all the elements
>of one of the two matrices are multiplied by a very small number, i.e.,
>Inv(C) = a_i*delta_ij + epsilon*b_ij
>I can assume b_ij=f(|i-j|), so this matrix is diagonal in frequency
>space, epsilon is very small and I would like to know C. There must be
>some kind of power expansion one can do...
Well, sure. You want to invert M = A + B with A diagonal; it
suffices to be able to invert M' = A^{-1} M = I + A^{-1} B, and that
one can do with a power-series expansion: (I+X)^{-1} = I - X + X^2 - ...
In your case X = A^{-1} B will be small because B is, so this series
will converge ("quickly", since epsilon is "very small"). Of course
this X does not have the special structures of either A or B.
(As noted above, it's not a _completely_ structureless matrix, but I
don't think you can get much mileage out of the structure that it does have.)
I'm guessing these remarks are not very helpful to you but I am not
optimistic that there _is_ a good answer here.
dave
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