R-majorizing operators: 2D simplex

A vector majorization is a preorder of dispersion for vectors with the same length and same sum of components. The vector majorization can be viewed as a pre-order of distance from a uniform vector. A pre-order of distance from any fixed vector of positive components, so-called r-majorization, is...

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Bibliographic Details
Main Authors: Saburov, Mansoor, Yusof, Nur Atikah
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
Online Access:http://irep.iium.edu.my/39874/
http://irep.iium.edu.my/39874/
http://irep.iium.edu.my/39874/1/Majorization--IREP.pdf
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Summary:A vector majorization is a preorder of dispersion for vectors with the same length and same sum of components. The vector majorization can be viewed as a pre-order of distance from a uniform vector. A pre-order of distance from any fixed vector of positive components, so-called r-majorization, is a generalization of usual vector majorization. In this paper, we introduce a new class of quadratic stochastic operators. These are called quadratic stochastic r-majorizing operators. The r-majorizing quadratic stochastic operator is a generalization of a quadratic doubly stochastic operator. We study ergodicity and regularity of quadratic stochastic r-majorizing operators.