A classification of nonequilibrium steady states based on temperature correlations
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Fecha
2022-12-15
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Profesor/a Guía
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Idioma
en
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Editor
Elsevier B.V.
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Licencia CC
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
Licencia CC
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
Resumen
Although generalized ensembles have now been in use in statistical mechanics for decades, including frameworks such as Tsallis’ nonextensive statistics and superstatistics, a classification of these generalized ensembles outlining the boundaries of validity of different families of models, is still lacking. In this work, such a classification is proposed in terms of supercanonical and subcanonical ensembles, according to a newly defined parameter, the inverse temperature covariance parameter U. This parameter is non-negative in superstatistics (and is equal to the variance of the inverse temperature) but can be negative for other families of statistical ensembles, acquiring then a broader meaning. It is shown that U is equal for every region of a composite system in a steady state, and examples are given of supercanonical and subcanonical states. © 2022 Elsevier B.V.
Notas
Indexación: Scopus
Palabras clave
Nonequilibrium, Superstatistics, Temperature correlations
Citación
Physica A: Statistical Mechanics and its Applications Volume 60815 December 2022 Article number 128249
DOI
10.1016/j.physa.2022.128249