Find the unique fixed probability vector for the Regular Stochastic matrix example (PART-2)
In this video explaining Regular Stochastic matrix. This problem is very simple and using matrix multiplication. Requiring value of probability vector.
A regular stochastic matrix also known as a Markov matrix or transition matrix is a square matrix where each element represents a probability of moving from one state to another in a stochastic process.
In a regular stochastic matrix all elements are non-negative and the sum of the elements in each row equals one. This means that the matrix is a probability distribution over the possible states of the system and that any initial state can be transformed into any other state with a certain probability.
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