Markov Chains
Markov Chains or Processes • Sequence of trial with a constant transition matrix P • No memory (P does not change, we do not know whether or how many times P has already been applied) 6 A Markov process has n states if there are n possible outcomes. In this case each state matrix has n entries, that is each state matrix is a 1 x n matrix.
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