Multivariate Hahn polynomials and difference equations

Fuente: arXiv
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1. Verfasser: Sasaki, Ryu
Format: Preprint
Veröffentlicht: 2023
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author Sasaki, Ryu
author_facet Sasaki, Ryu
contents The multivariate Hahn polynomials are constructed explicitly as the common eigenvectors of a family of second order difference operators. They are orthogonal with respect to the hypergeometric multinomial distribution. The main difference operator is adopted from the work of Karlin-McGregor in 1975. The minor ones are the subsets of the main one containing less and less variables. These operators commute with each other. In contrast to the multivariate Krawtchouk and Rahman like polynomials derived recently, the entire multivariate Hahn polynomials are rational functions of the system parameters. Complete sets of multivariate Krawtchouk and Meixner polynomials are derived by limiting procedures.
format Preprint
id arxiv_https___arxiv_org_abs_2305_09170
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Multivariate Hahn polynomials and difference equations
Sasaki, Ryu
Classical Analysis and ODEs
Probability
The multivariate Hahn polynomials are constructed explicitly as the common eigenvectors of a family of second order difference operators. They are orthogonal with respect to the hypergeometric multinomial distribution. The main difference operator is adopted from the work of Karlin-McGregor in 1975. The minor ones are the subsets of the main one containing less and less variables. These operators commute with each other. In contrast to the multivariate Krawtchouk and Rahman like polynomials derived recently, the entire multivariate Hahn polynomials are rational functions of the system parameters. Complete sets of multivariate Krawtchouk and Meixner polynomials are derived by limiting procedures.
title Multivariate Hahn polynomials and difference equations
topic Classical Analysis and ODEs
Probability
url https://arxiv.org/abs/2305.09170