Why Do Commuting Invertible Matrices Have a Unique Form?

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Discussion Overview

The discussion revolves around the properties of invertible matrices that commute with all other invertible matrices, specifically exploring the claim that such matrices must take the form cI, where c is a non-zero real number. The scope includes mathematical reasoning and conceptual exploration of linear transformations and eigenvalues.

Discussion Character

  • Mathematical reasoning
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant seeks to demonstrate that an invertible matrix A commuting with all invertible matrices must be of the form cI.
  • Another suggests using simple matrices B with a single nonzero entry to derive equations from the commutation relation AB = BA.
  • A participant reports success in showing that all diagonal entries of A are equal and all off-diagonal entries are zero using a specific form of B.
  • There is a suggestion to use matrices B that are invertible and have only one nonzero entry, which some participants find easier to understand.
  • A deduction is made that if B commutes with A, then (I+B) also commutes with A, allowing for flexibility in the choice of B.
  • A conceptual approach is introduced, framing A as a transformation and exploring the implications of every vector being an eigenvector, leading to the conclusion that all eigenvalues must be equal.
  • The argument is made that if two vectors v and w yield different eigenvalues, their linear combination leads to a contradiction, reinforcing the claim that all eigenvalues must be the same.

Areas of Agreement / Disagreement

Participants express different methods and perspectives on how to approach the problem, with no consensus reached on a single method being superior. The discussion remains exploratory, with various approaches being considered.

Contextual Notes

Some participants note the importance of ensuring that matrices B remain invertible, which complicates their choices. There are also discussions about the implications of different forms of B on the deductions made about matrix A.

Who May Find This Useful

This discussion may be useful for students and practitioners interested in linear algebra, particularly those exploring properties of matrices and eigenvalues in the context of commuting matrices.

T-O7
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Hey all,
I'm having trouble showing the following point:
if A is an invertible (n×n, real) matrix that commutes with ALL other invertible (n×n, real) matrices, then A is of the form cI, where c is any real number not equal to 0.

Anyone know how to show this?
 
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Try picking some particularly simple matrices B (such as having only a single nonzero entry!) and use AB = BA to get equations for the entries of A.
 
Thanks for the suggestion. So I had to use matrices B of the form I with an additional 1 at one other entry. By brute force, calculating the corresponding entries of AB would eventually give that all diagonal entries of A were the same, and that all other non diagonal entries must be zero. Sweet.
 
Actually, I would pick my B's so they have only one nonzero entry, rather than being the identity with an additional nonzero entry.

I think this is the easiest approach to understand, though not the shortest.
 
Yes, I was considering that, but B must also be invertible, so I had to complicate B a little bit by adding the diagonal 1's.
 
Ah, good point, I had missed that.

However, note this (reversible) deduction:

A(I+B) = (I+B)A
A + AB = A + BA
AB = BA


B commutes with A iff (I+B) commutes with A, so you could still work with my B's, if you choose.
 
That's wonderful! Thanks a lot for the help :smile:
 
Here's a conceptual suggestion. Think of A as a transformation and let v be any non zero vector. We want to show first that Av = cv for some constant c.

Choose a basis involving v as first vector and define another transformation B that takes v to v and the other basis vectors to 0. Then applying AB = BA to v shows that ABv = Av = BAv, so B acts on Av != 0 as the identity. Since A is invertible, Av is not zero, so then Av = cv for some non zero constant c, since multiples of v are the only non zero vectors B takes to themselves.

Thus every vector v is an "eigenvector" for A, i.e. Av always equals cv for some c possibly depending on v. Now if every vector is an eigen - vector, we claim all the eigenvalues must be equal.

To see that, assume that Av = cv and Aw = dw, where v and w are in different directions, and look at A(v+w) = cv + dw = e(v+w), and check that we must have c=d=e.

Now why is that? well then cv + dw -ev -ew = 0 = (c-e)v + (d-e)w, hence
(c-e)v = (e-d)w, so these multiples of v and w are equal.

But since v, w are in different directions, their only equal multiples are zero, so d=e, c=e. QED.
 

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