Consider a Markov chain with transition matrix

[0.3 0.7

0.4 0.6]

(where rows correspond to state 1 and state 2, respectively, as do columns). Assuming the system is initially in state 1, the probability distribution two observations later is:

Assuming the system is initially in state 2, the probability distribution two observations later is: