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Gibbs state



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.

They are named after J. Willard Gibbs, for his work in determining equilibrium properties of statistical ensembles.

See also

 
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.
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