{"title":"On Rayleigh quotients and characteristic equations for symmetric matrices connected with coordinate updatings","authors":"Zhong-Zhi Bai","doi":"10.1007/s10444-026-10356-x","DOIUrl":null,"url":null,"abstract":"<div><p>For the standard symmetric eigenvalue problem, with respect to the coordinate descent/updating method we reveal an intrinsic connection between the Rayleigh quotient and the characteristic equation, and show that the coordinate descent method and the coordinate updating method actually share the same structure and formulation. We then further formulate a general framework for these two iteration methods.</p></div>","PeriodicalId":50869,"journal":{"name":"Advances in Computational Mathematics","volume":"52 5","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Mathematics","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10444-026-10356-x","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
For the standard symmetric eigenvalue problem, with respect to the coordinate descent/updating method we reveal an intrinsic connection between the Rayleigh quotient and the characteristic equation, and show that the coordinate descent method and the coordinate updating method actually share the same structure and formulation. We then further formulate a general framework for these two iteration methods.
期刊介绍:
Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis.
This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.