Matrix Bispectrality of Full Rank One Algebras
Brian D. Vasquez, Jorge P. Zubelli

TL;DR
This paper investigates the algebraic structure of full rank 1 matrix algebras and develops a method to determine their bispectrality, with applications to scalar and matrix-valued eigenvalues.
Contribution
It introduces a general framework for analyzing full rank 1 algebras and provides a novel method to verify bispectrality in matrix polynomial sub-algebras.
Findings
Developed a verification method for bispectrality in full rank 1 algebras.
Illustrated the method with examples involving scalar and matrix-valued eigenvalues.
Applied Pierce decomposition to analyze algebraic properties.
Abstract
We study algebraic properties of full rank 1 algebras in a general framework and derive a method to verify if one such matrix polynomial sub-algebra is bispectral. We give two examples illustrating the method. In the first one, we consider the eigenvalue to be scalar-valued, whereas, in the second one, we assume it to be matrix-valued. In the former example, we put forth a Pierce decomposition of that algebra.
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Taxonomy
TopicsAdvanced Topics in Algebra · Algebraic structures and combinatorial models · Matrix Theory and Algorithms
