A matrix having the property that the entries in each column are non-negative, real and sum to 1.
In mathematics, a stochastic matrix is a matrix used to describe the transitions of a Markov chain. Each of its entries is a nonnegative real number representing a probability. 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: In the same vein, one may define stochastic vector as a vector whose elements are nonnegative real numbers which sum to 1. Thus, each row of a right stochastic matrix is a stochastic vector. A common convention in English language mathematics literature is to use row vectors of probabilities and right stochastic matrices rather than column vectors of probabilities and left stochastic matrices; this article follows that convention.
The numerical value of stochastic matrix in Chaldean Numerology is: 6
The numerical value of stochastic matrix in Pythagorean Numerology is: 4