Proof that eigenvalues are constants

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Discussion Overview

The discussion revolves around the independence of eigenvalues of a specific matrix constructed from Kronecker products of reflection matrices. Participants explore the properties of these matrices and their spectra, particularly in relation to the parameters involved.

Discussion Character

  • Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • One participant proposes a matrix of the form $$A_i=\left(\begin{array}[cc] ccos(x_i)&sin(x_i)\\sin(x_i)&-cos(x_i)\end{array}\right)$$ and considers the matrix $$C=A1\otimes A2\otimes 1_4-A1\otimes 1_4\otimes A2$$ to show that the eigenvalues of C are independent of the variable $$x$$.
  • Another participant asks for clarification on the notation $$1_4$$, which is identified as the identity matrix of dimension 4.
  • There is a request for clarification on the meaning of the symbol $$\otimes$$, with participants confirming it refers to the Kronecker product or tensor product.
  • A participant notes that the matrices $$A_i$$ are reflection matrices with a spectrum of $$\{-1, 1\}$$ and discusses their unitary equivalence to a specific matrix $$A_0$$.
  • It is mentioned that the spectrum of the Kronecker product of matrices is the product of their individual spectra, leading to the assertion that the spectrum of $$A_2\otimes I_4 - I_4\otimes A_2$$ does not depend on $$x_2$$.
  • Another participant suggests a method to demonstrate the independence of eigenvalues by multiplying by unitary matrices.
  • A later reply confirms the correctness of using the unitary matrix $$U_2$$ in the proposed multiplication.

Areas of Agreement / Disagreement

Participants generally agree on the properties of the matrices discussed, particularly regarding their spectra and unitary equivalence. However, the overall question of proving the independence of eigenvalues remains unresolved, with various approaches suggested but no consensus reached.

Contextual Notes

Participants have not fully resolved the mathematical steps necessary to demonstrate the independence of the eigenvalues, and there are dependencies on the definitions of the matrices involved.

jk22
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i suppose matrices of the form $$A_i=\left(\begin{array}[cc] ccos(x_i)&sin(x_i)\\sin(x_i)&-cos(x_i)\end{array}\right)$$

And i consider the matrix

$$C=A1\otimes A2\otimes 1_4-A1\otimes 1_4\otimes A2$$

I would like to show that the eigenvalues of C are independent of the x
i tried with mathematica but i have no proof.
 
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What is ##1_4##?
 
The identity matrix of dimension 4 $$\left(\begin{array}[cccc]a1&0&0&0\\0&1&0&0\\0&0&1&0\\0&0&0&1\end{array}\right)$$
 
What do you mean by ##\otimes##?
 
Hawkeye18 said:
What do you mean by ##\otimes##?
The usual Kronecker product or tensor product
 
First, your matrices ##A_i## are the reflection matrices: in particular that means that the spectrum of ##A_i## is ##\{-1, 1\}## and that ##A_i## are unitarily equivalent to $$A_0= \left(\begin{array}{cc} 1 & 0 \\ 0 & -1 \end{array} \right),$$ meaning that ##A=U_i A_0 U_i^{-1}##, where ##U_i## are unitary operators (with real entries). Matrices ##U_i## can be easily computed, but it does not matter here.

Since the spectrum ##\sigma(A\otimes B)## is the product of ##\sigma(A)## and ##\sigma (B)## you just need to prove that the spectrum of ##A_2\otimes I_4 - I_4\otimes A_2## does not depend on ##x_2##. To see that you can notice that ##I_4 = I_2\otimes I_2##, so $$A_2\otimes I_4 - I_4\otimes A_2 = A_2\otimes I_2\otimes I_2 - I_2\otimes I_2\otimes A_2, $$ and the latter operator is unitarily equivalent to $$A_0\otimes I_2\otimes I_2 - I_2\otimes I_2\otimes A_0$$ (can you see why?)

So the spectrum does not depend on ##x_2##.
 
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To show this I think we multiply left by $$U\otimes U\otimes U$$ and right by the inverses of U ?

Thanks a lot.
 
If by ##U## you mean ##U_2##, then yes, you are correct. You can also use ##U_2\otimes I_2\otimes U_2##.
 

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