Machine Learning, Data Science, Mathematics, Markov Chains, Towards Data Science.
represented by a matrix and π by a raw vector and we then have Once more, it expresses the fact that a stationary probability distribution doesn’t evolve through the time (as we saw that right multiplying a probability distribution by p allows to compute the probability distribution at the next