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Operational derivation of Boltzmann distribution with Maxwell’s demon model

The resolution of the Maxwell’s demon paradox linked thermodynamics with information theory through information erasure principle. By considering a demon endowed with a Turing-machine consisting of a memory tape and a processor, we attempt to explore the link towards the foundations of statistical m...

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Detalles Bibliográficos
Autores principales: Hosoya, Akio, Maruyama, Koji, Shikano, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657058/
https://www.ncbi.nlm.nih.gov/pubmed/26598363
http://dx.doi.org/10.1038/srep17011
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author Hosoya, Akio
Maruyama, Koji
Shikano, Yutaka
author_facet Hosoya, Akio
Maruyama, Koji
Shikano, Yutaka
author_sort Hosoya, Akio
collection PubMed
description The resolution of the Maxwell’s demon paradox linked thermodynamics with information theory through information erasure principle. By considering a demon endowed with a Turing-machine consisting of a memory tape and a processor, we attempt to explore the link towards the foundations of statistical mechanics and to derive results therein in an operational manner. Here, we present a derivation of the Boltzmann distribution in equilibrium as an example, without hypothesizing the principle of maximum entropy. Further, since the model can be applied to non-equilibrium processes, in principle, we demonstrate the dissipation-fluctuation relation to show the possibility in this direction.
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spelling pubmed-46570582015-11-30 Operational derivation of Boltzmann distribution with Maxwell’s demon model Hosoya, Akio Maruyama, Koji Shikano, Yutaka Sci Rep Article The resolution of the Maxwell’s demon paradox linked thermodynamics with information theory through information erasure principle. By considering a demon endowed with a Turing-machine consisting of a memory tape and a processor, we attempt to explore the link towards the foundations of statistical mechanics and to derive results therein in an operational manner. Here, we present a derivation of the Boltzmann distribution in equilibrium as an example, without hypothesizing the principle of maximum entropy. Further, since the model can be applied to non-equilibrium processes, in principle, we demonstrate the dissipation-fluctuation relation to show the possibility in this direction. Nature Publishing Group 2015-11-24 /pmc/articles/PMC4657058/ /pubmed/26598363 http://dx.doi.org/10.1038/srep17011 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Hosoya, Akio
Maruyama, Koji
Shikano, Yutaka
Operational derivation of Boltzmann distribution with Maxwell’s demon model
title Operational derivation of Boltzmann distribution with Maxwell’s demon model
title_full Operational derivation of Boltzmann distribution with Maxwell’s demon model
title_fullStr Operational derivation of Boltzmann distribution with Maxwell’s demon model
title_full_unstemmed Operational derivation of Boltzmann distribution with Maxwell’s demon model
title_short Operational derivation of Boltzmann distribution with Maxwell’s demon model
title_sort operational derivation of boltzmann distribution with maxwell’s demon model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657058/
https://www.ncbi.nlm.nih.gov/pubmed/26598363
http://dx.doi.org/10.1038/srep17011
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