{"title":"Structural formulas for a family of matrix valued Laguerre polynomials and applications","authors":"Andrea L. Gallo","doi":"10.1016/j.aam.2025.102851","DOIUrl":null,"url":null,"abstract":"<div><div>In this work, we study matrix valued orthogonal polynomials (MVOPs) with respect to a Laguerre-type matrix weight. We derive difference-differential relations for these MVOPs and provide explicit expressions for their entries using classical Laguerre polynomials. Under some shifting hypothesis, we demonstrate that the entries of the associated MVOPs can be expressed in terms of dual-Hahn polynomials. Additionally, we give an LDU decomposition for the squared norms of the MVOPs. As an application we study deformed weights and Toda-type equations.</div></div>","PeriodicalId":50877,"journal":{"name":"Advances in Applied Mathematics","volume":"165 ","pages":"Article 102851"},"PeriodicalIF":1.0000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0196885825000132","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, we study matrix valued orthogonal polynomials (MVOPs) with respect to a Laguerre-type matrix weight. We derive difference-differential relations for these MVOPs and provide explicit expressions for their entries using classical Laguerre polynomials. Under some shifting hypothesis, we demonstrate that the entries of the associated MVOPs can be expressed in terms of dual-Hahn polynomials. Additionally, we give an LDU decomposition for the squared norms of the MVOPs. As an application we study deformed weights and Toda-type equations.
期刊介绍:
Interdisciplinary in its coverage, Advances in Applied Mathematics is dedicated to the publication of original and survey articles on rigorous methods and results in applied mathematics. The journal features articles on discrete mathematics, discrete probability theory, theoretical statistics, mathematical biology and bioinformatics, applied commutative algebra and algebraic geometry, convexity theory, experimental mathematics, theoretical computer science, and other areas.
Emphasizing papers that represent a substantial mathematical advance in their field, the journal is an excellent source of current information for mathematicians, computer scientists, applied mathematicians, physicists, statisticians, and biologists. Over the past ten years, Advances in Applied Mathematics has published research papers written by many of the foremost mathematicians of our time.