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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

-2 votes
3 answers
2k views

Convergence of a markov matrix

Consider a markov chain matrix P of size n x n (n states). P is known to be: 1- Not irreducible (i.e. there exist at least a pair of states i, j such that we cannot go from i to j) 2- Not all state …
1 vote
2 answers
656 views

Markov chain convergence problem.

Consider a markov chain matrix P of size n x n (n states). P is known to be: 1- there are at least two absorbent states. one of them is denoted by null. (thus, we have that P_null,null = 1) 2- For …