Non-equilibrium entropy on stationary Ma
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A. Servet MartΓnez
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Article
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1985
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Springer Netherlands
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English
β 774 KB
We study the evolution of probability measures under the action of stationary Markov processes by means of a non-equilibrium entropy defined in terms of a convex function $. We prove that the convergence of the non-equilibrium entropy to zero for all measures of finite entropy is independent of for