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arXiv · 2005.01438

Conditional maximum entropy and Superstatistics

Sergio Davis
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Abstract

Superstatistics describes nonequilibrium steady states as superpositions of canonical ensembles with a probability distribution of temperatures. Rather than assume a certain distribution of temperature, recently [J. Phys. A: Math. Theor. 53, 045004 (2020)] we have discussed general conditions under which a system in contact with a finite environment can be described by superstatistics together with a physically interpretable, microscopic definition of temperature. In this work, we present a new interpretation of this result in terms of the standard maximum entropy principle (MaxEnt) using conditional expectation constraints, and provide an example model where this framework can be tested.

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Sergio Davis. 2020-05-04. Conditional maximum entropy and Superstatistics. https://doi.org/10.1088/1751-8121%2Fabb6af

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