Question about diagonalizable matrices

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Discussion Overview

The discussion revolves around the properties of diagonalizable matrices, specifically whether a diagonalizable matrix ##A## is similar to a unique diagonal matrix ##B##, or if there are multiple diagonal matrices similar to ##A##. The scope includes theoretical aspects of linear algebra and matrix similarity.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that if ##A## is diagonalizable, then it is similar to a diagonal matrix ##B##, and question whether ##B## is the only diagonal matrix to which ##A## is similar.
  • One participant claims that ##B## is the only diagonal matrix similar to ##A##, up to a rearrangement of the eigenvectors, suggesting that different arrangements yield different diagonal matrices that are merely permutations of the entries of ##B##.
  • Another participant agrees with the initial claim but emphasizes that diagonal matrices can differ if they have the same eigenvalues in different orders.
  • A later reply suggests that if ##A## is similar to two diagonal matrices, then those matrices are also similar to each other, hinting at the relationship between similarity transformations.
  • One participant suggests examining the characteristic polynomial as a potential avenue for further exploration.

Areas of Agreement / Disagreement

Participants generally agree that diagonal matrices can be similar if they share the same eigenvalues, but there is disagreement about the uniqueness of the diagonal matrix ##B##. The discussion remains unresolved regarding whether ##B## is the only diagonal matrix similar to ##A##.

Contextual Notes

Participants reference the importance of eigenvalues and eigenvectors in the context of matrix similarity, but the discussion does not resolve the implications of rearranging eigenvectors or the conditions under which different diagonal matrices may be considered similar.

Bipolarity
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Suppose that ##A## is a diagonalizable ## n \times n ## matrix. Then it is similar to a diagonal matrix ##B##. My question is, is ##B## the only diagonal matrix to which ##A## is similar?

I have thought about this, but am unsure if my answer is correct. My claim is that ##B## is the only diagonal matrix to which ##A## is similar, up to a rearrangement (or permutation) of the eigenvectors of ##A## in an ordered eigenbasis for ##ℝ^{n}##. Thus, if you rearrange the vectors in your eigenbasis, you will obtain a different diagonal matrix for ##[L_{A}]_{β}## but this will be merely a rearrangement of the diagonal entries of B.

Is this true? If so, how might I go about proving this conjecture of mine?

BiP
 
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Yes, it's true.

A hint for the proof: the diagonal entries are the eigenvalues of ##A##.
 
If ##A = X^{-1}BX = Y^{-1}B'Y## then ##B = (Y X^{-1})^{-1} B' (Y X^{-1})##.
So if A is similar to two diagonal matrices, then these matrices are similar to each other.
I guess a starting point would be to check which similarity transformations keep diagonal matrices diagonal, and see what you can say about X and Y that way.
 
micromass said:
Yes, it's true.

A hint for the proof: the diagonal entries are the eigenvalues of ##A##.
Not quite. A matrix can be similar to two different diagonal matrices if they have the same numbers on the diagonal in different orders.
 
HallsofIvy said:
Not quite. A matrix can be similar to two different diagonal matrices if they have the same numbers on the diagonal in different orders.

That's exactly what the OP said:

Thus, if you rearrange the vectors in your eigenbasis, you will obtain a different diagonal matrix for ##[L_A]_\beta## but this will be merely a rearrangement of the diagonal entries of B.
 
you might look at the characteristic polynomial.
 

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