{"title":"求解非线性矩阵方程X—A* 2m(√X-1) A = I的迭代方法","authors":"Haijuan Wang","doi":"10.1109/CSO.2011.158","DOIUrl":null,"url":null,"abstract":"Matrix equation problem is one of the topics of active research in the context of computational mathematics. The Hermitian positive definite solutions of a matrix equation play an important role in real applications. In this paper, we present the sufficient conditions for the existence of the positive definite solution to the nonlinear matrix equation X -- A* 2m square root X-1 A = I and propose a natural and stable iteration algorithm for obtaining a positive definite solution of this matrix equation. Finally, two numerical examples for the convergence behavior of the proposed algorithm are conducted to demonstrate the effectiveness.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"338 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Iteration Method for Solving Nonlinear Matrix Equation X -- A* 2m (square root X-1) A = I\",\"authors\":\"Haijuan Wang\",\"doi\":\"10.1109/CSO.2011.158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Matrix equation problem is one of the topics of active research in the context of computational mathematics. The Hermitian positive definite solutions of a matrix equation play an important role in real applications. In this paper, we present the sufficient conditions for the existence of the positive definite solution to the nonlinear matrix equation X -- A* 2m square root X-1 A = I and propose a natural and stable iteration algorithm for obtaining a positive definite solution of this matrix equation. Finally, two numerical examples for the convergence behavior of the proposed algorithm are conducted to demonstrate the effectiveness.\",\"PeriodicalId\":210815,\"journal\":{\"name\":\"2011 Fourth International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"338 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2011.158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2011.158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
矩阵方程问题是计算数学研究的热点之一。矩阵方程的厄米正定解在实际应用中起着重要的作用。本文给出了非线性矩阵方程X—A* 2m平方根X—1 A = I正定解存在的充分条件,并给出了求该矩阵方程正定解的自然稳定迭代算法。最后,通过两个数值算例验证了算法的收敛性。
Iteration Method for Solving Nonlinear Matrix Equation X -- A* 2m (square root X-1) A = I
Matrix equation problem is one of the topics of active research in the context of computational mathematics. The Hermitian positive definite solutions of a matrix equation play an important role in real applications. In this paper, we present the sufficient conditions for the existence of the positive definite solution to the nonlinear matrix equation X -- A* 2m square root X-1 A = I and propose a natural and stable iteration algorithm for obtaining a positive definite solution of this matrix equation. Finally, two numerical examples for the convergence behavior of the proposed algorithm are conducted to demonstrate the effectiveness.