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Coarse Graining, Nonmaximal Entropy, and Power Laws

We show that coarse graining produces significant and predictable effects on the entropy of states of equilibrium when the scale of coarse graining becomes comparable to that of density fluctuations. We demonstrate that a coarse-grained entropy typically evolves toward a state of effective equilibri...

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Autores principales: Pérez-Cárdenas, Fernando C., Resca, Lorenzo, Pegg, Ian L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512300/
https://www.ncbi.nlm.nih.gov/pubmed/33265826
http://dx.doi.org/10.3390/e20100737
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author Pérez-Cárdenas, Fernando C.
Resca, Lorenzo
Pegg, Ian L.
author_facet Pérez-Cárdenas, Fernando C.
Resca, Lorenzo
Pegg, Ian L.
author_sort Pérez-Cárdenas, Fernando C.
collection PubMed
description We show that coarse graining produces significant and predictable effects on the entropy of states of equilibrium when the scale of coarse graining becomes comparable to that of density fluctuations. We demonstrate that a coarse-grained entropy typically evolves toward a state of effective equilibrium with a lower value than that of the state of maximum entropy theoretically possible. The finer the coarse graining, the greater the drop in effective entropy, and the more relevant the fluctuations around that. Fundamental considerations allow us to derive a remarkable power law that relates coarse graining to the effective entropy gap. Another power law is found that precisely relates the noise range of effective entropy fluctuations to coarse graining. We test both power laws with numerical simulations based on a well-studied two-dimensional lattice gas model. As expected, the effects of these power laws diminish as our description approaches a macroscopic level, eventually disappearing in the thermodynamic limit, where the maximum entropy principle is reasserted.
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spelling pubmed-75123002020-11-09 Coarse Graining, Nonmaximal Entropy, and Power Laws Pérez-Cárdenas, Fernando C. Resca, Lorenzo Pegg, Ian L. Entropy (Basel) Article We show that coarse graining produces significant and predictable effects on the entropy of states of equilibrium when the scale of coarse graining becomes comparable to that of density fluctuations. We demonstrate that a coarse-grained entropy typically evolves toward a state of effective equilibrium with a lower value than that of the state of maximum entropy theoretically possible. The finer the coarse graining, the greater the drop in effective entropy, and the more relevant the fluctuations around that. Fundamental considerations allow us to derive a remarkable power law that relates coarse graining to the effective entropy gap. Another power law is found that precisely relates the noise range of effective entropy fluctuations to coarse graining. We test both power laws with numerical simulations based on a well-studied two-dimensional lattice gas model. As expected, the effects of these power laws diminish as our description approaches a macroscopic level, eventually disappearing in the thermodynamic limit, where the maximum entropy principle is reasserted. MDPI 2018-09-26 /pmc/articles/PMC7512300/ /pubmed/33265826 http://dx.doi.org/10.3390/e20100737 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pérez-Cárdenas, Fernando C.
Resca, Lorenzo
Pegg, Ian L.
Coarse Graining, Nonmaximal Entropy, and Power Laws
title Coarse Graining, Nonmaximal Entropy, and Power Laws
title_full Coarse Graining, Nonmaximal Entropy, and Power Laws
title_fullStr Coarse Graining, Nonmaximal Entropy, and Power Laws
title_full_unstemmed Coarse Graining, Nonmaximal Entropy, and Power Laws
title_short Coarse Graining, Nonmaximal Entropy, and Power Laws
title_sort coarse graining, nonmaximal entropy, and power laws
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512300/
https://www.ncbi.nlm.nih.gov/pubmed/33265826
http://dx.doi.org/10.3390/e20100737
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