{"title":"An electrostatic model for the roots of discrete classical orthogonal polynomials","authors":"Joaquín Sánchez-Lara","doi":"10.1016/j.jat.2025.106256","DOIUrl":null,"url":null,"abstract":"<div><div>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 <span><math><mrow><mi>A</mi><msub><mrow><mi>Δ</mi></mrow><mrow><mi>h</mi></mrow></msub><msub><mrow><mo>∇</mo></mrow><mrow><mi>h</mi></mrow></msub><mi>y</mi><mo>+</mo><mi>B</mi><msub><mrow><mi>Δ</mi></mrow><mrow><mi>h</mi></mrow></msub><mi>y</mi><mo>+</mo><mi>C</mi><mi>y</mi><mo>=</mo><mn>0</mn><mspace></mspace></mrow></math></span> where <span><math><mi>A</mi></math></span>, <span><math><mi>B</mi></math></span> and <span><math><mi>C</mi></math></span> are polynomials and <span><math><mrow><msub><mrow><mi>Δ</mi></mrow><mrow><mi>h</mi></mrow></msub><mi>f</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><mo>=</mo><mi>f</mi><mrow><mo>(</mo><mi>x</mi><mo>+</mo><mi>h</mi><mo>)</mo></mrow><mo>−</mo><mi>f</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><mspace></mspace><mtext>and</mtext><mspace></mspace><msub><mrow><mo>∇</mo></mrow><mrow><mi>h</mi></mrow></msub><mi>f</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><mo>=</mo><mi>f</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><mo>−</mo><mi>f</mi><mrow><mo>(</mo><mi>x</mi><mo>−</mo><mi>h</mi><mo>)</mo></mrow></mrow></math></span> with <span><math><mrow><mi>h</mi><mo>></mo><mn>0</mn></mrow></math></span>. The existence of a unique distribution of points which minimizes the energy of the system is guaranteed under some assumptions on <span><math><mi>A</mi></math></span> and <span><math><mi>B</mi></math></span>. 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.</div></div>","PeriodicalId":54878,"journal":{"name":"Journal of Approximation Theory","volume":"315 ","pages":"Article 106256"},"PeriodicalIF":0.6000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Approximation Theory","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021904525001157","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/29 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATHEMATICS","Score":null,"Total":0}
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 where , and are polynomials and with . The existence of a unique distribution of points which minimizes the energy of the system is guaranteed under some assumptions on and . 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.
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.