A classification of nonequilibrium steady states based on temperature correlations
dc.contributor.author | Davis, Sergio | |
dc.date.accessioned | 2023-03-22T17:05:09Z | |
dc.date.available | 2023-03-22T17:05:09Z | |
dc.date.issued | 2022-12-15 | |
dc.description | Indexación: Scopus | es |
dc.description.abstract | 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. | es |
dc.description.uri | https://www-sciencedirect-com.recursosbiblioteca.unab.cl/science/article/pii/S037843712200807X?via%3Dihub | |
dc.identifier.citation | Physica A: Statistical Mechanics and its Applications Volume 60815 December 2022 Article number 128249 | es |
dc.identifier.doi | 10.1016/j.physa.2022.128249 | |
dc.identifier.issn | 0378-4371 | |
dc.identifier.uri | https://repositorio.unab.cl/xmlui/handle/ria/47755 | |
dc.language.iso | en | es |
dc.publisher | Elsevier B.V. | es |
dc.rights.license | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
dc.subject | Nonequilibrium | es |
dc.subject | Superstatistics | es |
dc.subject | Temperature correlations | es |
dc.title | A classification of nonequilibrium steady states based on temperature correlations | es |
dc.type | Artículo | es |
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