Proving Non-Diagonal Matrix Exponential is Diagonal - Ian's Problem

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    Exponential Matrix
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Discussion Overview

The discussion revolves around the properties of the matrix exponential, specifically whether a non-diagonal matrix can have a diagonal matrix exponential. Participants explore examples and theoretical implications related to this concept, focusing on matrices over the complex field.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Ian proposes to either find an example of a non-diagonal matrix whose matrix exponential is diagonal or to prove that no such examples exist.
  • One participant suggests using the matrix \(\sigma_x = \left( \begin{smallmatrix} 0 & 1 \\ 1 & 0 \end{smallmatrix} \right)\) and the expression \(e^{i \sigma_x \varphi}\) to demonstrate that a non-diagonal matrix can yield a diagonal matrix exponential.
  • Another participant mentions the matrix \(A = \left( \begin{smallmatrix} 0 & -1 \\ 1 & 0 \end{smallmatrix} \right)\) and states that \(e^{\theta A}\) represents a rotation, specifically noting that \(e^{n\pi A}\) is diagonal for any integer \(n\).
  • Ian acknowledges the examples provided and references Gantmacher's text, which discusses the inverse of the matrix exponential and the conditions under which a diagonal matrix can be expressed in terms of logarithms of matrices that commute with it.

Areas of Agreement / Disagreement

Participants present differing views on the existence of non-diagonal matrices with diagonal exponentials, with some examples suggesting that such matrices do exist. The discussion remains unresolved regarding a definitive proof or disproof of Ian's initial proposition.

Contextual Notes

Ian's exploration is informed by Gantmacher's characterization of the inverse map of the matrix exponential, which introduces additional complexity regarding the conditions under which diagonal matrices can be represented.

charlesworth
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I'd like to do one of two things:

1: Find an example of a non-diagonal matrix whose matrix exponential (defined in terms of series) is diagonal.
2: Prove that no such examples exist.

I'm working with matrices over the complex field. My gut tells me that 2 is the way to go. I'd really appreciate any help with this.

Ian
 
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Let [tex]\sigma_x = \left( \begin{smallmatrix} 0 & 1 \\ 1 & 0 \end{smallmatrix} \right)[/tex], and consider things like [tex]e^{i \sigma_x \varphi}[/tex] where [tex]\varphi[/tex] is some angle. You should find that the matrix exponential of a non-diagonal matrix can, in fact, be diagonal.

(You can find a useful / interesting identity related to my suggestion at http://en.wikipedia.org/wiki/Pauli_matrices" ).
 
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Or: consider [itex]A = \left( \begin{smallmatrix}0&-1\\1&0\end{smallmatrix} \right)[/itex]. Then [itex]e^{\theta A}[/itex] is a rotation by the angle [itex]\theta[/itex]. In particular, [itex]e^{n\pi A}[/itex] is diagonal for any integer [itex]n[/itex].
 
Thanks to both of you, that's very helpful. The 2x2 examples are good, but using higher dimensional Pauli matrices is more satisfying; thanks Sando.

I found a complete answer to my question in Gantmacher's text "The theory of matrices" (chapter VIII, section 8) which gives a complete characterization of the inverse map of the matrix exponential, and in particular, said inverse map in the case of diagonal matrices.

Given a diagonal matrix D without any entries on the negative real axis, the set of "logarithms" (ie. the set {H} such that exp(H) = D) obviously includes all matrices where you just take the logarithm of each element of D, and possibly add a multiple of 2[tex]\pi[/tex]i. I had originally thought that this would be it. But as Gantmacher shows, you need to also include conjugation by anything that commutes with D. (I'm not attempting to be formal here.) Which is where the examples you provided come in.

Ian
 
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