Conditional maximum entropy and superstatistics

Davis, Sergio

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 [2020J. Phys. A: Math. Theor.53045004] 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 using conditional expectation constraints, and provide an example model where this framework can be tested.

Más información

Título según WOS: Conditional maximum entropy and superstatistics
Título de la Revista: JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
Volumen: 53
Número: 44
Editorial: IOP PUBLISHING LTD
Fecha de publicación: 2020
DOI:

10.1088/1751-8121/ABB6AF

Notas: ISI