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How, Why and When Tsallis Statistical Mechanics Provides Precise Descriptions of Natural Phenomena
The limit of validity of ordinary statistical mechanics and the pertinence of Tsallis statistics beyond it is explained considering the most probable evolution of complex systems processes. To this purpose we employ a dissipative Landau–Ginzburg kinetic equation that becomes a generic one-dimensiona...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777765/ https://www.ncbi.nlm.nih.gov/pubmed/36554166 http://dx.doi.org/10.3390/e24121761 |
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author | Robledo, Alberto Velarde, Carlos |
author_facet | Robledo, Alberto Velarde, Carlos |
author_sort | Robledo, Alberto |
collection | PubMed |
description | The limit of validity of ordinary statistical mechanics and the pertinence of Tsallis statistics beyond it is explained considering the most probable evolution of complex systems processes. To this purpose we employ a dissipative Landau–Ginzburg kinetic equation that becomes a generic one-dimensional nonlinear iteration map for discrete time. We focus on the Renormalization Group (RG) fixed-point maps for the three routes to chaos. We show that all fixed-point maps and their trajectories have analytic closed-form expressions, not only (as known) for the intermittency route to chaos but also for the period-doubling and the quasiperiodic routes. These expressions have the form of q-exponentials, while the kinetic equation’s Lyapunov function becomes the Tsallis entropy. That is, all processes described by the evolution of the fixed-point trajectories are accompanied by the monotonic progress of the Tsallis entropy. In all cases the action of the fixed-point map attractor imposes a severe impediment to access the system’s built-in configurations, leaving only a subset of vanishing measure available. Only those attractors that remain chaotic have ineffective configuration set reduction and display ordinary statistical mechanics. Finally, we provide a brief description of complex system research subjects that illustrates the applicability of our approach. |
format | Online Article Text |
id | pubmed-9777765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97777652022-12-23 How, Why and When Tsallis Statistical Mechanics Provides Precise Descriptions of Natural Phenomena Robledo, Alberto Velarde, Carlos Entropy (Basel) Article The limit of validity of ordinary statistical mechanics and the pertinence of Tsallis statistics beyond it is explained considering the most probable evolution of complex systems processes. To this purpose we employ a dissipative Landau–Ginzburg kinetic equation that becomes a generic one-dimensional nonlinear iteration map for discrete time. We focus on the Renormalization Group (RG) fixed-point maps for the three routes to chaos. We show that all fixed-point maps and their trajectories have analytic closed-form expressions, not only (as known) for the intermittency route to chaos but also for the period-doubling and the quasiperiodic routes. These expressions have the form of q-exponentials, while the kinetic equation’s Lyapunov function becomes the Tsallis entropy. That is, all processes described by the evolution of the fixed-point trajectories are accompanied by the monotonic progress of the Tsallis entropy. In all cases the action of the fixed-point map attractor imposes a severe impediment to access the system’s built-in configurations, leaving only a subset of vanishing measure available. Only those attractors that remain chaotic have ineffective configuration set reduction and display ordinary statistical mechanics. Finally, we provide a brief description of complex system research subjects that illustrates the applicability of our approach. MDPI 2022-12-01 /pmc/articles/PMC9777765/ /pubmed/36554166 http://dx.doi.org/10.3390/e24121761 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Robledo, Alberto Velarde, Carlos How, Why and When Tsallis Statistical Mechanics Provides Precise Descriptions of Natural Phenomena |
title | How, Why and When Tsallis Statistical Mechanics Provides Precise Descriptions of Natural Phenomena |
title_full | How, Why and When Tsallis Statistical Mechanics Provides Precise Descriptions of Natural Phenomena |
title_fullStr | How, Why and When Tsallis Statistical Mechanics Provides Precise Descriptions of Natural Phenomena |
title_full_unstemmed | How, Why and When Tsallis Statistical Mechanics Provides Precise Descriptions of Natural Phenomena |
title_short | How, Why and When Tsallis Statistical Mechanics Provides Precise Descriptions of Natural Phenomena |
title_sort | how, why and when tsallis statistical mechanics provides precise descriptions of natural phenomena |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777765/ https://www.ncbi.nlm.nih.gov/pubmed/36554166 http://dx.doi.org/10.3390/e24121761 |
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