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What is Understanding Equilibrium in Markov Chains about?

Chapter 9 discusses the concept of equilibrium in Markov chains, defining an equilibrium distribution π T as one where π T P = π T, indicating that the distribution remains unchanged over time. The chapter also covers how to calculate equilibrium distributions and introduces the idea of periodicity, where a Markov chain may only return to certain states at specific intervals, affecting its convergence to equilibrium. It emphasizes the importance of aperiodic states for achieving convergence to an equilibriu

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diyasewnarain25

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