Stochastic Matrix | Markov Chain, Matrix, Doubly Stochastic Matrix, Probability Vector, Euclidean Vector, Probability Space, Row Vector, Perron-Frobenius Theorem

Publisher

OmniScriptum

Publication Date

2026

Language

English

ISBN 10

6130362781

ISBN 13

9786130362782

Binding

Taschenbuch

Condition

Neu

Dimensions

Weight

155 grams

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Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, a stochastic matrix, probability matrix, or transition matrix is used to describe the transitions of a Markov chain. It has found use in probability theory, statistics and linear algebra, as well as computer science. There are several different definitions and types of stochastic matrices; A right stochastic matrix is a square matrix each of whose rows consists of nonnegative real numbers, with each row summing to 1. A left stochastic matrix is a square matrix whose columns consist of nonnegative real numbers whose sum is 1. A doubly stochastic matrix where all entries are nonnegative and all rows and all columns sum to 1.

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