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Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle

The maximum entropy principle consists of two steps: The first step is to find the distribution which maximizes entropy under given constraints. The second step is to calculate the corresponding thermodynamic quantities. The second part is determined by Lagrange multipliers’ relation to the measurab...

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Autor principal: Korbel, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826740/
https://www.ncbi.nlm.nih.gov/pubmed/33440777
http://dx.doi.org/10.3390/e23010096
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author Korbel, Jan
author_facet Korbel, Jan
author_sort Korbel, Jan
collection PubMed
description The maximum entropy principle consists of two steps: The first step is to find the distribution which maximizes entropy under given constraints. The second step is to calculate the corresponding thermodynamic quantities. The second part is determined by Lagrange multipliers’ relation to the measurable physical quantities as temperature or Helmholtz free energy/free entropy. We show that for a given MaxEnt distribution, the whole class of entropies and constraints leads to the same distribution but generally different thermodynamics. Two simple classes of transformations that preserve the MaxEnt distributions are studied: The first case is a transform of the entropy to an arbitrary increasing function of that entropy. The second case is the transform of the energetic constraint to a combination of the normalization and energetic constraints. We derive group transformations of the Lagrange multipliers corresponding to these transformations and determine their connections to thermodynamic quantities. For each case, we provide a simple example of this transformation.
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spelling pubmed-78267402021-02-24 Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle Korbel, Jan Entropy (Basel) Article The maximum entropy principle consists of two steps: The first step is to find the distribution which maximizes entropy under given constraints. The second step is to calculate the corresponding thermodynamic quantities. The second part is determined by Lagrange multipliers’ relation to the measurable physical quantities as temperature or Helmholtz free energy/free entropy. We show that for a given MaxEnt distribution, the whole class of entropies and constraints leads to the same distribution but generally different thermodynamics. Two simple classes of transformations that preserve the MaxEnt distributions are studied: The first case is a transform of the entropy to an arbitrary increasing function of that entropy. The second case is the transform of the energetic constraint to a combination of the normalization and energetic constraints. We derive group transformations of the Lagrange multipliers corresponding to these transformations and determine their connections to thermodynamic quantities. For each case, we provide a simple example of this transformation. MDPI 2021-01-11 /pmc/articles/PMC7826740/ /pubmed/33440777 http://dx.doi.org/10.3390/e23010096 Text en © 2021 by the author. 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
Korbel, Jan
Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
title Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
title_full Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
title_fullStr Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
title_full_unstemmed Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
title_short Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
title_sort calibration invariance of the maxent distribution in the maximum entropy principle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826740/
https://www.ncbi.nlm.nih.gov/pubmed/33440777
http://dx.doi.org/10.3390/e23010096
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