Ergodicity of p-majorizing quadratic stochastic operators

A scrambling square stochastic matrix plays an important role in the theory of the classical Markov chain. One of the classical results states that a row-stochastic matrix is strongly ergodic if and only if its some power is a scrambling matrix. In this paper, we deal with the similar problem for a...

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Bibliographic Details
Main Author: Saburov, Mansoor
Format: Article
Language:English
English
Published: Polymat Publishing Company 2018
Subjects:
Online Access:http://irep.iium.edu.my/64760/
http://irep.iium.edu.my/64760/
http://irep.iium.edu.my/64760/1/64760_Ergodicity%20of%20p-majorizing%20quadratic_SCOPUS.pdf
http://irep.iium.edu.my/64760/7/64760_Ergodicity%20of%20p-majorizing%20quadratic_scopus.pdf
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Summary:A scrambling square stochastic matrix plays an important role in the theory of the classical Markov chain. One of the classical results states that a row-stochastic matrix is strongly ergodic if and only if its some power is a scrambling matrix. In this paper, we deal with the similar problem for a cubic stochastic matrix. We introduce a notion of p-majorizing quadratic stochastic operators and study the strong ergodicity of p-majorizing quadratic stochastic operators associated with scrambling, Sarymsakov, and Wolfowitz cubic stochastic matrices. © 2018 Polymat Ltd. All rights reserved.