AMAT 19Markov chains
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Markov chains

Supplemental study note

Older Chapter 4 supplement + original explanation

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Supplemental status

Markov chains appear in the older Chapter 4 handout but are not explicit in the current course outline.

A transition matrix is row-stochastic: entries are nonnegative and each row sums to 1. A state distribution moves one step by multiplying the row distribution by the transition matrix. Repeating this process gives d P^k.

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