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Inverse spectral analysis for a class of finite band symmetric matrices
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In this note, we solve an inverse spectral problem for a class of finite band symmetric matrices. We provide necessary and sufficient conditions for a matrix valued function to be a spectral function of the operator corresponding to a matrix in our class and give an algorithm for recovering this matrix from the spectral function. The reconstructive algorithm is applicable to matrices which cannot be treated by known inverse block matrix methods. Our approach to the inverse problem is based on the rational interpolation theory developed in a previous paper.
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Banded Hermitian Matrices, Matrix Orthogonal Polynomials, and the Toda Lattice
Explicit reconstruction procedure for banded Hermitian matrices from matrix-valued spectral measures, with necessary and sufficient conditions, linked to Toda lattice dynamics.
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