Existence and Uniqueness of Stationary Probability Vector for Stochastic Matrices using Farkas’ Lemma

Somdeb Lahiri *

PDE University and Adjunct Professor LJ University, Ahmedabad, India.

*Author to whom correspondence should be addressed.


Abstract

The purpose of this note is to provide a simple proof of existence of stationary probability vectors (fixed points) for stochastic matrices using Farkas’ lemma. This result as well as the uniqueness of stationary probability vectors also holds for a certain subclass of quasi-stochastic matrices.

Keywords: Farkas’ lemma, stochastic matrices, stationary probability


How to Cite

Lahiri, Somdeb. 2022. “Existence and Uniqueness of Stationary Probability Vector for Stochastic Matrices Using Farkas’ Lemma”. Asian Journal of Probability and Statistics 20 (4):94-99. https://doi.org/10.9734/ajpas/2022/v20i4442.

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