A Geršgorin-type eigenvalue localization set with n parameters for stochastic matrices
Wang Xiaoxiao, Li Chaoqian, Li Yaotang
Open Mathematics · 2018
doi:10.1515/math-2018-0030 (opens in a new tab)
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Abstract
A set in the complex plane which involves n parameters in [0, 1] is given to localize all eigenvalues different from 1 for stochastic matrices. As an application of this set, an upper bound for the moduli of the subdominant eigenvalues of a stochastic matrix is obtained. Lastly, we fix n parameters in [0, 1] to give a new set including all eigenvalues different from 1, which is tighter than those provided by Shen et al. (Linear Algebra Appl. 447 (2014) 74-87) and Li et al. (Linear and Multilinear Algebra 63(11) (2015) 2159-2170) for estimating the moduli of subdominant eigenvalues.
Abstract licence: CC BY
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