Expansions and Characterizations of Sieved Random Walk Polynomials
Stefan Kahler

TL;DR
This paper studies sieved random walk polynomials, their expansions in Chebyshev bases, and introduces sieved operators generalizing classical derivatives, revealing new properties and characterizations.
Contribution
It provides explicit Chebyshev expansions for sieved ultraspherical polynomials and introduces sieved operators with infinite-dimensional kernels, offering new insights into sieved polynomial structures.
Findings
Explicit Chebyshev expansions for sieved ultraspherical polynomials
Introduction of a sieved Askey-Wilson operator with an infinite-dimensional kernel
Characterization results for 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…
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Taxonomy
TopicsMathematical functions and polynomials · Analytic and geometric function theory · Geometry and complex manifolds
