Expansions and Characterizations of Sieved Random Walk Polynomials
Stefan Kahlerabc a Fachgruppe Mathematik, RWTH Aachen University,
Pontdriesch 14-16, 52062 Aachen, Germany
b Department of Mathematics, Chair for Mathematical Modelling,
Chair for Mathematical Modeling of Biological Systems, Technical University of Munich, Boltzmannstr. 3, 85747 Garching b. München, Germany
c Lehrstuhl A für Mathematik, RWTH Aachen University, 52056 Aachen, Germany
Аннотация:
We consider random walk polynomial sequences $(P_n(x))_{n\in\mathbb{N}_0}\subseteq\mathbb{R}[x]$ given by recurrence relations
$P_0(x)=1$,
$P_1(x)=x$,
$x P_n(x)=(1-c_n)P_{n+1}(x)+c_n P_{n-1}(x),$ $n\in\mathbb{N}$ with
$(c_n)_{n\in\mathbb{N}}\subseteq(0,1)$. For every
$k\in\mathbb{N}$, the
$k$-sieved polynomials
$(P_n(x;k))_{n\in\mathbb{N}_0}$ arise from the recurrence coefficients
$c(n;k):=c_{n/k}$ if
$k|n$ and
$c(n;k):=1/2$ otherwise. A main objective of this paper is to study expansions in the Chebyshev basis
$\{T_n(x)\colon n\in\mathbb{N}_0\}$. As an application, we obtain explicit expansions for the sieved ultraspherical polynomials. Moreover, we introduce and study a sieved version
$\mathrm{D}_k$ of the Askey–Wilson operator
$\mathcal{D}_q$. It is motivated by the sieved ultraspherical polynomials, a generalization of the classical derivative and obtained from
$\mathcal{D}_q$ by letting
$q$ approach a
$k$-th root of unity. However, for
$k\geq2$ the new operator
$\mathrm{D}_k$ on
$\mathbb{R}[x]$ has an infinite-dimensional kernel (in contrast to its ancestor), which leads to additional degrees of freedom and characterization results for
$k$-sieved random walk polynomials. Similar characterizations are obtained for a sieved averaging operator
$\mathrm{A}_k$.
Ключевые слова:
random walk polynomials, sieved polynomials, Askey–Wilson operator, averaging operator, polynomial expansions, Fourier coefficients.
MSC: 42C05,
33C47,
42C10 Поступила: 3 июля 2023 г.; в окончательном варианте
1 декабря 2023 г.; опубликована
22 декабря 2023 г.
Язык публикации: английский
DOI:
10.3842/SIGMA.2023.103