Irreducible periodic case

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Explores time reversal in stationary Markov chains and the concept of detailed balance conditions.

Covers reversible discrete-time Markov chains in communication models.

Explores reversibility and irreducibility in Markov chains, along with optimal decision-making policies.

Covers reversible discrete-time Markov chains and their concept of reversibility.

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Explores Markov chains, focusing on the coloring problem and algorithm analysis.

Covers reversible discrete-time Markov chains in stochastic communications, explaining stationarity and transition probabilities.

Covers applied probability, Markov chains, and stochastic processes, including transition matrices, eigenvalues, and communication classes.

Covers entropy, its definition, and its implications in thermodynamics.

Covers the introduction and properties of Markov chains, including transition matrices and stochastic processes.