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Fluctuation relations for irreversible emergence of information

Information theory and Thermodynamics have developed closer in the last years, with a growing application palette in which the formal equivalence between the Shannon and Gibbs entropies is exploited. The main barrier to connect both disciplines is the fact that information does not imply a dynamics,...

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Autor principal: Arias-Gonzalez, J. Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568592/
https://www.ncbi.nlm.nih.gov/pubmed/36241690
http://dx.doi.org/10.1038/s41598-022-21729-9
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author Arias-Gonzalez, J. Ricardo
author_facet Arias-Gonzalez, J. Ricardo
author_sort Arias-Gonzalez, J. Ricardo
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description Information theory and Thermodynamics have developed closer in the last years, with a growing application palette in which the formal equivalence between the Shannon and Gibbs entropies is exploited. The main barrier to connect both disciplines is the fact that information does not imply a dynamics, whereas thermodynamic systems unfold with time, often away from equilibrium. Here, we analyze chain-like systems comprising linear sequences of physical objects carrying symbolic meaning. We show that, after defining a reading direction, both reversible and irreversible informations emerge naturally from the principle of microscopic reversibility in the evolution of the chains driven by a protocol. We find fluctuation equalities that relate entropy, the relevant concept in communication, and energy, the thermodynamically significant quantity, examined along sequences whose content evolves under writing and revision protocols. Our results are applicable to nanoscale chains, where information transfer is subject to thermal noise, and extendable to virtually any communication system.
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spelling pubmed-95685922022-10-16 Fluctuation relations for irreversible emergence of information Arias-Gonzalez, J. Ricardo Sci Rep Article Information theory and Thermodynamics have developed closer in the last years, with a growing application palette in which the formal equivalence between the Shannon and Gibbs entropies is exploited. The main barrier to connect both disciplines is the fact that information does not imply a dynamics, whereas thermodynamic systems unfold with time, often away from equilibrium. Here, we analyze chain-like systems comprising linear sequences of physical objects carrying symbolic meaning. We show that, after defining a reading direction, both reversible and irreversible informations emerge naturally from the principle of microscopic reversibility in the evolution of the chains driven by a protocol. We find fluctuation equalities that relate entropy, the relevant concept in communication, and energy, the thermodynamically significant quantity, examined along sequences whose content evolves under writing and revision protocols. Our results are applicable to nanoscale chains, where information transfer is subject to thermal noise, and extendable to virtually any communication system. Nature Publishing Group UK 2022-10-14 /pmc/articles/PMC9568592/ /pubmed/36241690 http://dx.doi.org/10.1038/s41598-022-21729-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Arias-Gonzalez, J. Ricardo
Fluctuation relations for irreversible emergence of information
title Fluctuation relations for irreversible emergence of information
title_full Fluctuation relations for irreversible emergence of information
title_fullStr Fluctuation relations for irreversible emergence of information
title_full_unstemmed Fluctuation relations for irreversible emergence of information
title_short Fluctuation relations for irreversible emergence of information
title_sort fluctuation relations for irreversible emergence of information
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568592/
https://www.ncbi.nlm.nih.gov/pubmed/36241690
http://dx.doi.org/10.1038/s41598-022-21729-9
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