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      Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle

      research-article
      1 , 2 , 3
      Entropy
      MDPI
      maximum entropy principle, MaxEnt distribution, calibration invariance, Lagrange multipliers

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          Abstract

          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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          Possible generalization of Boltzmann-Gibbs statistics

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            Information Theory and Statistical Mechanics

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              Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy

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                Author and article information

                Journal
                Entropy (Basel)
                Entropy (Basel)
                entropy
                Entropy
                MDPI
                1099-4300
                11 January 2021
                January 2021
                : 23
                : 1
                : 96
                Affiliations
                [1 ]Section for the Science of Complex Systems, Center for Medical Statistics, Informatics, and Intelligent Systems (CeMSIIS), Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria; jan.korbel@ 123456meduniwien.ac.at
                [2 ]Complexity Science Hub Vienna, Josefstädterstrasse 39, 1080 Vienna, Austria
                [3 ]Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, 11519 Prague, Czech Republic
                Author information
                https://orcid.org/0000-0002-5371-5320
                Article
                entropy-23-00096
                10.3390/e23010096
                7826740
                33440777
                1e85ea7d-db2e-446d-b3eb-71180f9017c8
                © 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/).

                History
                : 11 December 2020
                : 09 January 2021
                Categories
                Article

                maximum entropy principle,maxent distribution,calibration invariance,lagrange multipliers

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