Lecture
Equilibrium of Markov Chains
Description
This lecture covers the concept of equilibrium in Markov Chains, discussing invariant distributions, properties determination, irreducibility, aperiodicity, and examples. It also explores the convergence rate, Perron-Frobenius Theorem, Second Largest Eigenvalue Modulus, and applications like PageRank and Google.
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