Last Updated:2025/12/07

After sufficient time, the Markov process relaxes into the Gibbs state, an equilibrium probability distribution that remains invariant under future evolution of the system.

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After sufficient time, the Markov process relaxes into the Gibbs state, an equilibrium probability distribution that remains invariant under future evolution of the system.

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十分な時間が経つと、そのマルコフ過程は平衡確率分布に落ち着き、系の将来の時間発展に対して不変なままになります。

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