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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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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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Gibbs state
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