Expansions and Characterizations of Sieved Random Walk Polynomials
Abstract
We consider random walk polynomial sequences given by recurrence relations , , with . For every , the -sieved polynomials arise from the recurrence coefficients if and otherwise. A main objective of this paper is to study expansions in the Chebyshev basis . As an application, we obtain explicit expansions for the sieved ultraspherical polynomials. Moreover, we introduce and study a sieved version of the Askey-Wilson operator . It is motivated by the sieved ultraspherical polynomials, a generalization of the classical derivative and obtained from by letting approach a -th root of unity. However, for the new operator on has an infinite-dimensional kernel (in contrast to its ancestor), which leads to additional degrees of freedom and characterization results for -sieved random walk polynomials. Similar characterizations are obtained for a sieved averaging operator .
Keywords
Cite
@article{arxiv.2306.16411,
title = {Expansions and Characterizations of Sieved Random Walk Polynomials},
author = {Stefan Kahler},
journal= {arXiv preprint arXiv:2306.16411},
year = {2023}
}