M-矩阵最小特征值的新下界
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  • 英文篇名:New lower bounds for the minimum eigenvalues of M-matrices
  • 作者:孙德淑 ; 彭小平 ; 徐玉梅
  • 英文作者:SUN De-shu;PENG Xiao-ping;XU Yu-mei;College of Data Science and Information Engineering,Guizhou Minzu University;
  • 关键词:M-矩阵 ; 非负矩阵 ; Hadamard积 ; 谱半径 ; 最小特征值
  • 英文关键词:M-matrix;;nonnegative matrix;;Hadamard product;;spectral radius;;minimum eigen value
  • 中文刊名:BJWX
  • 英文刊名:Journal of Baoji University of Arts and Sciences(Natural 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:2019-03-19 17:43
  • 出版单位:宝鸡文理学院学报(自然科学版)
  • 年:2019
  • 期:v.39;No.125
  • 基金:国家自然科学基金(11601473);; 贵州省科学技术基金(20191161,20181079);; 贵州省教育厅自然科学基金(2015420);; 贵州民族大学科研基金(2017YB068)
  • 语种:中文;
  • 页:BJWX201901002
  • 页数:6
  • CN:01
  • ISSN:61-1290/N
  • 分类号:6-11
摘要
目的研究M-矩阵最小特征值的估计问题。方法利用Brauer定理和Gerschgorin定理,并结合不等式放缩技巧,估计M-矩阵的逆矩阵和非负矩阵的Hadamard积的谱半径上界。结果给出M-矩阵最小特征值的新下界。结论数值算例表明新估计式在一定条件下优于现有的估计式。
        Purposes—To estimate the bound of the minimum eigenvalues of M-matrices.Methods—The Brauer theorem,Gerschgorin theorem and the skills of magnifying and shrinking of inequality are applied to estimate the upper bound of spectral radius of Hadamard product of inverse matrix and nonnegative matrix of M-matrices.Result—Some new lower bounds for the minimum eigenvalue of M-matrices are presented.Conclusion—Numerical examples show that these estimating formulas improve the related results in some cases.
引文
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