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矩阵的特征值定位和非奇异性判定
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  • 英文篇名:Eigenvalue Localization and Determination of Non-singularity for Matrices
  • 作者:桑彩丽 ; 赵建兴
  • 英文作者:SANG Caili;ZHAO Jianxing;College of Data Science and Information Engineering,Guizhou Minzu University;
  • 关键词:矩阵 ; 特征值 ; 定位 ; 非奇异性 ; 判定
  • 英文关键词:matrix;;eigenvalue;;localization;;non-singularity;;determination
  • 中文刊名:JLDX
  • 英文刊名:Journal of Jilin University(Science Edition)
  • 机构:贵州民族大学数据科学与信息工程学院;
  • 出版日期:2019-07-15
  • 出版单位:吉林大学学报(理学版)
  • 年:2019
  • 期:v.57;No.238
  • 基金:国家自然科学基金(批准号:11501141);; 贵州省教育厅科技拔尖人才支持项目(批准号:黔教合KY字[2016]066号);; 贵州省科学技术基金(批准号:黔科合J字[2015]2073号)
  • 语种:中文;
  • 页:JLDX201904020
  • 页数:4
  • CN:04
  • ISSN:22-1340/O
  • 分类号:131-134
摘要
通过将复方阵A分裂为A=sI-B(其中:s为任意复数;I为单位矩阵;B为复方阵),利用矩阵非奇异性判定已有的方法,得到了A的含有两个参数(s和正整数k)的特征值包含集和非奇异性的判定方法,并证明所得特征值包含集和非奇异性判定方法比已有结果更精确、更具一般性.数值结果表明,通过调节s和k,可以对A的特征值进行更精确定位,从而判定A的非奇异性.
        By splitting a complex square matrix Ainto A=sI-B,where s is an arbitrary complex number,Iis the identity matrix and Bis a complex square matrix,and by using an existing method of determination of non-singularity for matrices,some eigenvalue inclusion sets and some methods of determination of non-singularity for A with two parameters(s and a positive integer k)are obtained and proved to be more accurate and more general than some existing results.Numerical results show that by adjusting s and k,the eigenvalues of Acan be located more accurate,and the non-singularity of Acan be determined.
引文
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