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$S_1$ is the state vector after one iteration of the Markov chain. Its top entry is the probability of being in state A, and its bottom entry is the probability of being in state B after one step.

Conditions: Two-state chain with states A and B.; Entries are probabilities.; In the examples shown, the entries sum to 1.

$S_1$ is the state vector after one iteration of the Markov chain. Its top entry is the probability of being in state A, and its bottom entry is the probability of being in state B after one step.

Conditions: Two-state chain with states A and B.; Entries are probabilities.; In the examples shown, the entries sum to 1.