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Exact Renormalization Groups As a Form of Entropic Dynamics

The Renormalization Group (RG) is a set of methods that have been instrumental in tackling problems involving an infinite number of degrees of freedom, such as, for example, in quantum field theory and critical phenomena. What all these methods have in common—which is what explains their success—is...

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Autores principales: Pessoa, Pedro, Caticha, Ariel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512205/
https://www.ncbi.nlm.nih.gov/pubmed/33265116
http://dx.doi.org/10.3390/e20010025
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author Pessoa, Pedro
Caticha, Ariel
author_facet Pessoa, Pedro
Caticha, Ariel
author_sort Pessoa, Pedro
collection PubMed
description The Renormalization Group (RG) is a set of methods that have been instrumental in tackling problems involving an infinite number of degrees of freedom, such as, for example, in quantum field theory and critical phenomena. What all these methods have in common—which is what explains their success—is that they allow a systematic search for those degrees of freedom that happen to be relevant to the phenomena in question. In the standard approaches the RG transformations are implemented by either coarse graining or through a change of variables. When these transformations are infinitesimal, the formalism can be described as a continuous dynamical flow in a fictitious time parameter. It is generally the case that these exact RG equations are functional diffusion equations. In this paper we show that the exact RG equations can be derived using entropic methods. The RG flow is then described as a form of entropic dynamics of field configurations. Although equivalent to other versions of the RG, in this approach the RG transformations receive a purely inferential interpretation that establishes a clear link to information theory.
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spelling pubmed-75122052020-11-09 Exact Renormalization Groups As a Form of Entropic Dynamics Pessoa, Pedro Caticha, Ariel Entropy (Basel) Article The Renormalization Group (RG) is a set of methods that have been instrumental in tackling problems involving an infinite number of degrees of freedom, such as, for example, in quantum field theory and critical phenomena. What all these methods have in common—which is what explains their success—is that they allow a systematic search for those degrees of freedom that happen to be relevant to the phenomena in question. In the standard approaches the RG transformations are implemented by either coarse graining or through a change of variables. When these transformations are infinitesimal, the formalism can be described as a continuous dynamical flow in a fictitious time parameter. It is generally the case that these exact RG equations are functional diffusion equations. In this paper we show that the exact RG equations can be derived using entropic methods. The RG flow is then described as a form of entropic dynamics of field configurations. Although equivalent to other versions of the RG, in this approach the RG transformations receive a purely inferential interpretation that establishes a clear link to information theory. MDPI 2018-01-04 /pmc/articles/PMC7512205/ /pubmed/33265116 http://dx.doi.org/10.3390/e20010025 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
Pessoa, Pedro
Caticha, Ariel
Exact Renormalization Groups As a Form of Entropic Dynamics
title Exact Renormalization Groups As a Form of Entropic Dynamics
title_full Exact Renormalization Groups As a Form of Entropic Dynamics
title_fullStr Exact Renormalization Groups As a Form of Entropic Dynamics
title_full_unstemmed Exact Renormalization Groups As a Form of Entropic Dynamics
title_short Exact Renormalization Groups As a Form of Entropic Dynamics
title_sort exact renormalization groups as a form of entropic dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512205/
https://www.ncbi.nlm.nih.gov/pubmed/33265116
http://dx.doi.org/10.3390/e20010025
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