English

A new class of orthogonal polynomials

Classical Analysis and ODEs 2026-03-19 v1 Functional Analysis

Abstract

We consider random walk polynomial sequences (Pn(x))nN0R[x](P_n(x))_{n\in\mathbb{N}_0}\subseteq\mathbb{R}[x] given by recurrence relations of the form P0(x)=1P_0(x)=1, P1(x)=xP_1(x)=x and xPn(x)=anPn+1(x)+cnPn1(x)  (nN)x P_n(x)=a_n P_{n+1}(x)+c_n P_{n-1}(x)\;(n\in\mathbb{N}), where ana_n and cnc_n are positive and sum up to 11. (Pn(x))nN0(P_n(x))_{n\in\mathbb{N}_0} is said to satisfy nonnegative linearization of products if the product of any two polynomials Pm(x)P_m(x), Pn(x)P_n(x) is a convex combination of Pmn(x),,Pm+n(x)P_{|m-n|}(x),\ldots,P_{m+n}(x). This property gives rise to a hypergroup structure and a sophisticated harmonic analysis. We are interested in examples such that both the original sequence (Pn(x))nN0(P_n(x))_{n\in\mathbb{N}_0} and the sequence (Pn~(x))nN0(\widetilde{P_n}(x))_{n\in\mathbb{N}_0} which corresponds to switched roles of (an)nN(a_n)_{n\in\mathbb{N}} and (cn)nN(c_n)_{n\in\mathbb{N}} satisfy nonnegative linearization of products. Such considerations were recently started by Lasser and Obermaier and can be motivated from a harmonic analytic, combinatorial or probabilistic point of view. However, Lasser and Obermaier left open the question whether examples besides the trivial example of the Chebyshev polynomials of the first kind (Tn(x))nN0(T_n(x))_{n\in\mathbb{N}_0} (with ancn1/2a_n\equiv c_n\equiv1/2) actually exist. We provide a sufficient criterion and explicitly construct such nontrivial examples. Moreover, we provide characterizations of (Tn(x))nN0(T_n(x))_{n\in\mathbb{N}_0} by additionally involving properties of the duals and Haar measures. Our criterion also enables us to solve open problems concerning the Haar measure of polynomial hypergroups stated by Kahler and Szwarc.

Keywords

Cite

@article{arxiv.2603.17983,
  title  = {A new class of orthogonal polynomials},
  author = {Stefan Kahler and Josef Obermaier},
  journal= {arXiv preprint arXiv:2603.17983},
  year   = {2026}
}

Comments

16 pages

R2 v1 2026-07-01T11:26:39.843Z