An electrostatic model for the roots of discrete classical orthogonal polynomials

IF 0.6 3区 数学 Q2 MATHEMATICS
Journal of Approximation Theory Pub Date : 2026-05-01 Epub Date: 2025-11-29 DOI:10.1016/j.jat.2025.106256
Joaquín Sánchez-Lara
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引用次数: 0

Abstract

An electrostatic model is presented to describe the behaviour of the roots of classical discrete orthogonal polynomials. Indeed, this model applies more generally to the roots of polynomial solutions of second-order linear difference equations AΔhhy+BΔhy+Cy=0 where A, B and C are polynomials and Δhf(x)=f(x+h)f(x)andhf(x)=f(x)f(xh) with h>0. The existence of a unique distribution of points which minimizes the energy of the system is guaranteed under some assumptions on A and B. Furthermore, interlacing properties and the monotonicity of the roots depending on the parameters which appear in the difference equation are obtained from this electrostatic model.
离散经典正交多项式根的静电模型
提出了一个静电模型来描述经典离散正交多项式根的行为。事实上,该模型更普遍地适用于二阶线性差分方程AΔh∇hy+BΔhy+Cy=0的多项式解的根,其中A, B和C是多项式,Δhf(x)=f(x+h) - f(x)和∇hf(x)=f(x) - f(x - h), h>0。在a和b上的一些假设条件下,保证了系统能量最小的点的唯一分布的存在性,并由此得到了差分方程中出现的参数的交错性和根的单调性。
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来源期刊
CiteScore
1.90
自引率
11.10%
发文量
55
审稿时长
6-12 weeks
期刊介绍: The Journal of Approximation Theory is devoted to advances in pure and applied approximation theory and related areas. These areas include, among others: • Classical approximation • Abstract approximation • Constructive approximation • Degree of approximation • Fourier expansions • Interpolation of operators • General orthogonal systems • Interpolation and quadratures • Multivariate approximation • Orthogonal polynomials • Padé approximation • Rational approximation • Spline functions of one and several variables • Approximation by radial basis functions in Euclidean spaces, on spheres, and on more general manifolds • Special functions with strong connections to classical harmonic analysis, orthogonal polynomial, and approximation theory (as opposed to combinatorics, number theory, representation theory, generating functions, formal theory, and so forth) • Approximation theoretic aspects of real or complex function theory, function theory, difference or differential equations, function spaces, or harmonic analysis • Wavelet Theory and its applications in signal and image processing, and in differential equations with special emphasis on connections between wavelet theory and elements of approximation theory (such as approximation orders, Besov and Sobolev spaces, and so forth) • Gabor (Weyl-Heisenberg) expansions and sampling theory.
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