Entropic Dynamics on Gibbs Statistical Manifolds

Entropic dynamics is a framework in which the laws of dynamics are derived as an application of entropic methods of inference. Its successes include the derivation of quantum mechanics and quantum field theory from probabilistic principles. Here, we develop the entropic dynamics of a system, the sta...

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Main Authors: Pedro Pessoa, Felipe Xavier Costa, Ariel Caticha
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/5/494
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author Pedro Pessoa
Felipe Xavier Costa
Ariel Caticha
author_facet Pedro Pessoa
Felipe Xavier Costa
Ariel Caticha
author_sort Pedro Pessoa
collection DOAJ
description Entropic dynamics is a framework in which the laws of dynamics are derived as an application of entropic methods of inference. Its successes include the derivation of quantum mechanics and quantum field theory from probabilistic principles. Here, we develop the entropic dynamics of a system, the state of which is described by a probability distribution. Thus, the dynamics unfolds on a statistical manifold that is automatically endowed by a metric structure provided by information geometry. The curvature of the manifold has a significant influence. We focus our dynamics on the statistical manifold of Gibbs distributions (also known as canonical distributions or the exponential family). The model includes an “entropic” notion of time that is tailored to the system under study; the system is its own clock. As one might expect that entropic time is intrinsically directional; there is a natural arrow of time that is led by entropic considerations. As illustrative examples, we discuss dynamics on a space of Gaussians and the discrete three-state system.
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spelling doaj.art-d35043cc767d4fe0bc90eafeaaab6ba82023-11-21T16:27:09ZengMDPI AGEntropy1099-43002021-04-0123549410.3390/e23050494Entropic Dynamics on Gibbs Statistical ManifoldsPedro Pessoa0Felipe Xavier Costa1Ariel Caticha2Department of Physics, University at Albany (SUNY), Albany, NY 12222, USADepartment of Physics, University at Albany (SUNY), Albany, NY 12222, USADepartment of Physics, University at Albany (SUNY), Albany, NY 12222, USAEntropic dynamics is a framework in which the laws of dynamics are derived as an application of entropic methods of inference. Its successes include the derivation of quantum mechanics and quantum field theory from probabilistic principles. Here, we develop the entropic dynamics of a system, the state of which is described by a probability distribution. Thus, the dynamics unfolds on a statistical manifold that is automatically endowed by a metric structure provided by information geometry. The curvature of the manifold has a significant influence. We focus our dynamics on the statistical manifold of Gibbs distributions (also known as canonical distributions or the exponential family). The model includes an “entropic” notion of time that is tailored to the system under study; the system is its own clock. As one might expect that entropic time is intrinsically directional; there is a natural arrow of time that is led by entropic considerations. As illustrative examples, we discuss dynamics on a space of Gaussians and the discrete three-state system.https://www.mdpi.com/1099-4300/23/5/494entropic dynamicsmaximum entropyinformation geometrycanonical distributionsexponential family
spellingShingle Pedro Pessoa
Felipe Xavier Costa
Ariel Caticha
Entropic Dynamics on Gibbs Statistical Manifolds
Entropy
entropic dynamics
maximum entropy
information geometry
canonical distributions
exponential family
title Entropic Dynamics on Gibbs Statistical Manifolds
title_full Entropic Dynamics on Gibbs Statistical Manifolds
title_fullStr Entropic Dynamics on Gibbs Statistical Manifolds
title_full_unstemmed Entropic Dynamics on Gibbs Statistical Manifolds
title_short Entropic Dynamics on Gibbs Statistical Manifolds
title_sort entropic dynamics on gibbs statistical manifolds
topic entropic dynamics
maximum entropy
information geometry
canonical distributions
exponential family
url https://www.mdpi.com/1099-4300/23/5/494
work_keys_str_mv AT pedropessoa entropicdynamicsongibbsstatisticalmanifolds
AT felipexaviercosta entropicdynamicsongibbsstatisticalmanifolds
AT arielcaticha entropicdynamicsongibbsstatisticalmanifolds