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Understanding communication classes, transience, recurrence, and periodicity. 2. Long-Run Behaviour and Invariant Distributions markov chains jr norris pdf

cap P equals the 2 by 2 matrix; Row 1: 0.8, 0.2; Row 2: 0.4, 0.6 end-matrix; This means: Let’s address the elephant in the room

If it is Sunny today, there is an 80% chance it stays Sunny tomorrow. Row 1: 0.8

Complex theorems are always preceded by concrete physical examples.

Conditions under which a chain will always settle into its stationary distribution, regardless of its starting state.