Analytic form of eigenpairs for a special matrix

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SUMMARY

The discussion focuses on calculating eigenvalues for a specific matrix structure relevant to a physically-motivated algorithm. The matrix is characterized by a pattern involving zeros, R, and T elements, indicating a block structure. The user has successfully computed the fundamental mode but seeks assistance in deriving higher-order modes and eigenvalues. They suggest using the closed Laplace formula for determinant calculation to facilitate the eigenvalue polynomial recursion.

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  • Familiarity with matrix determinants and the Laplace expansion
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robertsj
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Hi all,

I have a physically-motivated algorithm for which I'm trying to flesh out some basic properties analytically. In one case, I end up with a matrix of the following form:

[tex] \left [\begin{array}{ccccccccc}<br /> 0 & & & & & & & & \\<br /> & 0 & R & T & & & & & \\<br /> T & R & 0 & & & & & & \\<br /> & & & 0 & R & T & & & \\<br /> & & T & R & 0 & & & & \\<br /> & & & & & \ddots & & & \\<br /> & & & & & & 0 & R & T \\<br /> & & & & & T & R & 0 & \\<br /> & & & & & & & & 0 \\<br /> \end{array} \right ] [/tex]

I can compute the the fundamental mode analytically based on the physics of the problem, but I haven't been able to generate higher order modes. I'm most interested in the eigenvalues. Any suggestions? Has someone done this?
 
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