随机矩阵非1特征值的含n个参数的Brauer型定位集
A Brauer-Type Set with n Parameters to Localize All Eigenvalues Different from 1 for Stochastic Matrices
摘要:
本文给出了随机矩阵非1特征值的一个含有n个参数的Brauer型定位集，并应用此定位集得到了随机矩阵次占优特征值模的一个新上界。文中数值算例表明通过适当选取参数，该文所得集合对随机矩阵非1特征值的定位优于一些现有文献中所给集合。
Abstract:
A Brauer-type set with n parameters is given to localize all eigenvalues different from 1 for sto-chastic matrices, and an upper bound for the moduli of the subdominant eigenvalues of a stochastic matrix is obtained by using this set. Numerical examples are given to illustrate that the proposed set by taking proper parameters is better than the sets obtained from some existing literatures.
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