Bispectrality of the sieved Jacobi polynomials

It is shown that the CMV Laurent polynomials associated to the sieved Jacobi polynomials on the unit circle satisfy an eigenvalue equation with respect to a first order differential operator of Dunkl type. Using this result, the sieved Jacobi polynomials on the real line are found to be eigenfunctions of a Dunkl differential operator of second order. Eigenvalue equations for the sieved ultraspherical polynomials of the first and second kind are obtained as special cases. These results mean that the sieved Jacobi polynomials (either on the unit circle or on the real line) are bispectral.

Authors

Institutions

Publication Details

Journal
Proceedings of the American Mathematical Society
Published
2025-10-23
DOI
https://doi.org/10.1090/proc/17389
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bispectrality of the sieved Jacobi polynomials

Alexei S. Zhedanov, Luc Vinet
Proceedings of the American Mathematical Society
Mathematical functions and polynomials
article

Bispectrality of the sieved Jacobi polynomials

Alexei S. Zhedanov, Luc Vinet
article en

Abstract

It is shown that the CMV Laurent polynomials associated to the sieved Jacobi polynomials on the unit circle satisfy an eigenvalue equation with respect to a first order differential operator of Dunkl type. Using this result, the sieved Jacobi polynomials on the real line are found to be eigenfunctions of a Dunkl differential operator of second order. Eigenvalue equations for the sieved ultraspherical polynomials of the first and second kind are obtained as special cases. These results mean that the sieved Jacobi polynomials (either on the unit circle or on the real line) are bispectral.

Proceedings of the American Mathematical Society
Université de Montréal (CA), Renmin University of China (CN)
Openalex Percentile: Top 58%
Mathematical functions and polynomials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.