Respuesta :
Answer:
The correct answer is Transitional Matrix.
Explanation:
In mathematics, a stochastic matrix (also called probability matrix, transition matrix, substitution matrix or Markov matrix) is a matrix used to describe the transitions in a Markov chain. It has found use in probability theory, statistics and linear algebra, as well as computer science. There are several definitions and types of stochastic matrix:
- A right stochastic matrix is a square matrix each of whose rows is formed by non-negative real numbers, adding each row 1.
- A left stochastic matrix is a square matrix each of whose columns is formed by non-negative real numbers, adding each column 1.
- A double stochastic matrix is a square matrix where all values are positive, plus all rows and columns add up to 1.
In the same way, a stochastic vector can be defined as a vector whose elements are formed by positive real numbers that add up to 1. Thus, each row (or column) of a stochastic matrix is a probability vector, also called stochastic vectors.
