Spectral decomposition and matrix-valued orthogonal polynomials
Wolter Groenevelt, Mourad E. H. Ismail, Erik Koelink

TL;DR
This paper explores the connection between spectral decomposition of certain operators and matrix-valued orthogonal polynomials, providing a construction method and explicit examples related to Askey-Wilson polynomials.
Contribution
It introduces a general construction of operators from scalar orthogonal polynomials and presents explicit examples of matrix-valued orthogonal polynomials with orthogonality and recurrence relations.
Findings
Explicit examples of 2x2 matrix-valued orthogonal polynomials
Construction method linking scalar polynomials to matrix-valued cases
Orthogonality relations and recurrence relations derived
Abstract
The relation between the spectral decomposition of a self-adjoint operator which is realizable as a higher order recurrence operator and matrix-valued orthogonal polynomials is investigated. A general construction of such operators from scalar-valued orthogonal polynomials is presented. Two examples of matrix-valued orthogonal polynomials with explicit orthogonality relations and three-term recurrence relation are presented, which both can be considered as -matrix-valued analogues of subfamilies of Askey-Wilson polynomials.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical functions and polynomials · Matrix Theory and Algorithms · Quantum Mechanics and Non-Hermitian Physics
