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A Gibbs state in probability theory and statistical mechanics is an equilibrium probability distribution which remains invariant under future evolution of the system (for example, a stationary or steady-state distribution of a Markov chain, such as that achieved by running a Markov chain Monte Carlo iteration for a sufficiently long time).
Additional recommended knowledge
In physics there may be several physically distinct Gibbs states in which a system may be trapped, particularly at lower temperatures.
|This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Gibbs_state". A list of authors is available in Wikipedia.|