A short one on matrix multiplication

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Homework Help Overview

The discussion revolves around proving a relationship involving matrix multiplication and block matrices, specifically with real invertible n x n matrices A and B, where B is defined as the inverse of the transpose of A. Participants are exploring the implications of this relationship and its validity.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants are considering various methods to prove the stated relationship, including the use of block matrix multiplication and the properties of pseudoinverses. There are questions about the meaning of symbols used in the equations and the validity of the initial statement.

Discussion Status

Some participants have offered suggestions for approaching the problem, such as using block matrix forms and exploring the implications of the partitioning of matrices. There is an ongoing exploration of how to manipulate the equations to arrive at the desired result, with no consensus yet on a definitive approach.

Contextual Notes

Participants are grappling with the definitions and properties of the matrices involved, including the meaning of the '+' symbol in the context of column vectors and the conditions under which certain matrix operations can be performed. There is also a mention of using computational tools to test the validity of the statement.

Päällikkö
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Let A and B be real invertible n x n matrices so that B = (AT)-1.
Show that Bm = (I - B1A1T)(AmT)+, where
B1 = [b1, ..., bm],
Bm = [bm+1, ..., bn],
A1 = [a1, ..., am],
Am = [am+1, ..., an].


Any pointers on how one would go about proving the above? I'm fresh out of ideas.

I'm not sure if the above statement is even actually true. Using random matrices in matlab, I have not found any counterexamples, though.
 
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What does the '+' symbol exponent on a column vector mean?
 
I'm not sure if that's a hint or a question: the pseudoinverse.
 
It's a question - just trying to understand the problem.
 
So, as block matrices,

A = [ A1 | Am ]
B = [ B1 | Bm ]

Have you tried just multiplying things out in block form?
 
How do you get to a situation where you get to use the matrices A and B?

Do you mean something like
(I - B1A1T)(AmT)+ = (I - BF(AF)T)((AG)T)+,
where F = [I O]T (where I is m x m and F is n x m) and G = [O I]T (where I is (n-m) x (n-m) and G is n x (n-m)).

I doubt you meant that, could you elaborate? Anyways, the above I've tried to no avail.

EDIT: or do you mean starting from the equation B = [B1 Bm] = (AT)-1 = ([A1 Am]T)-1 and trying to solve for Bm? That I haven't actually tried but it seems a bit like a long shot. I'll see if I can get it going.

EDIT: No, can't get it going.
 
Last edited:
Ok, try getting it going this way. Look at matrices as blocks, as Hurkyl suggests. Your premise shows B.A^T=1. The partitioning splits this into B1.A1^T+Bm.Am^T=1. So Bm.Am^T=1-B1.A1^T. Now you just have to show that (Am^T)^+ is a good enough inverse to Am^T that you can multiply both sides by it and get what you want. I'm still scratching my head over how to write this down formally, but maybe you can figure it out.
 
Yeah, and the last step is easy as well. Am^T has linearly independent rows. Writing out (Am^T)^+ explicitly (as in the wikipedia entry on pseudoinverses) and then multiplying Am^T by it gives an n-mxn-m unit matrix.
 
Ah indeed, partitioning it in that manner makes it all clear. Thank you very much.
 

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