Conditional maximum entropy and superstatistics
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 [2020 J. Phys. A: Math. Theor. 53 045004] 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 según SCOPUS: | Conditional maximum entropy and superstatistics |
| Título de la Revista: | Journal of Physics A: Mathematical and Theoretical |
| Volumen: | 53 |
| Número: | 44 |
| Editorial: | Institute of Physics Publishing |
| Fecha de publicación: | 2020 |
| Idioma: | English |
| DOI: |
10.1088/1751-8121/abb6af |
| Notas: | ISI, SCOPUS |