Determinant of this special matrix

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    Determinant Matrix
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Discussion Overview

The discussion revolves around finding the eigenvalues of a specific 3x3 matrix defined as H = ( E, a, a; a, E, a; a, a, E ). Participants explore various methods for calculating the determinant and eigenvalues, including algebraic manipulations and computational tools.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant expresses difficulty in finding a quicker method for calculating the eigenvalues of the matrix H.
  • Another participant mentions that Mathematica provides eigenvalues E-a and 2a+E, questioning if this aligns with the request for a quicker method.
  • A participant shares their derived equation for the determinant and seeks assistance with factorization, indicating uncertainty in their algebra skills.
  • Further, a participant corrects their earlier approach and provides a new factorization of the determinant equation.
  • Another participant reformulates the eigenvalue problem using a sum over eigenvectors and derives expressions for eigenvalues based on conditions of the sum S.
  • One participant lists the eigenvectors they identified by inspection, asserting their linear independence and corresponding eigenvalues.
  • A later reply acknowledges the previous participant's approach as a commendable method for tackling the problem.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the quickest method for finding eigenvalues, and multiple approaches and interpretations of the problem are presented. The discussion remains unresolved regarding the most efficient solution.

Contextual Notes

Some participants express uncertainty about algebraic manipulations and factorization techniques, indicating potential limitations in their mathematical approaches. The discussion also touches on connections to concepts in superconductivity, though this is not fully explored.

ian2012
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Hope someone can help me out here.. I've found the eigenvalues (lamda) of this matrix, but through a very very long way, does anyone know of a quicker way (there must be a quicker way). The matrix is 3x3:

H = ( E, a, a; a, E, a; a, a, E ).

I can reduce the determinant to the following, but still troublesome:

det(H) = | E - lamda, a, a; a, E - lamda, a; a, a, E - lamda |

det(H) = | E - lamda - a, a - E + lamda, 0; 0, E - lamda - a, a - E + lamda; a, a, E - lamda |
 
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For what its worth, Mathematica gives E-a and 2a+E as a double and single eigenvalue of H, respectively. But using Mathematica is probably not what you meant by "a quicker way".

Does following through on the calculation you indicated in your post give you any problems?
 
Yeah, i know the solutions , thanks... Well i end up with (E - lamda - a)(E - lamda) + a(E - lamda - a) - a = 0 as the equation of the determinant. I am a bit rusty on my high school algebra, is there a way to factorise that? (You could multiply it all out and spend a lifetime dividing it by a trial solution)
 
Last edited:
Okay, i may have canceled abit too early, the factorization I am looking for is of:
(E - lamda - a)^2(E- lamda + a) = a(E - lamda - a)
 
The eigenvalue problem is equivalent to:
<br /> E \, x_{n} + a \, \sum_{m \ne n}{x_{m}} = \lambda \, x_{n}<br />

If you introduce:
<br /> S = \sum_{m}{x_{m}}<br />

you can rewrite the equations as:
<br /> (E - a - \lambda) \, x_{n} + a \, S = 0<br />

<br /> x_{n} = \frac{a \, S}{\lambda + a - E}<br />
If S = 0, then, in order that we have at least one non-zero x_{n}, we must have:

<br /> \lambda + a - E = 0<br />

or

<br /> \lambda = E - a<br />

If, on the other hand S \ne 0, we have unique solutions for x_{n}. Substituting these back into the definition for S and canceling, we get:

<br /> S = \sum_{n}{\frac{a \, S}{\lambda + a - E}} = \frac{N \, a\, S}{\lambda + a - E}<br />

<br /> 1 = \frac{a \, N}{\lambda + a - E}<br />

<br /> \lambda = E + (N - 1) \, a<br />

BTW, this problem is similar to the Cooper pairing problem in superconductivity.
 
Following are the eigenvectors by inspection: [1. 1,1]', [1 -1 0]' and [0 1 -1]'. These are linearly independent with the corresponding eigenvalues E+2a, E-a and E-a.
 
@Dickfore:
That's a nice way of approaching the problem.
 

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