Literature DB >> 33440777

Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle.

Jan Korbel1,2,3.   

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.

Entities:  

Keywords:  Lagrange multipliers; MaxEnt distribution; calibration invariance; maximum entropy principle

Year:  2021        PMID: 33440777      PMCID: PMC7826740          DOI: 10.3390/e23010096

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  14 in total

1.  Geometry of escort distributions.

Authors:  Sumiyoshi Abe
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-09-05

2.  Statistical mechanics in the context of special relativity.

Authors:  G Kaniadakis
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-11-25

3.  Nonadditive entropies yield probability distributions with biases not warranted by the data.

Authors:  Steve Pressé; Kingshuk Ghosh; Julian Lee; Ken A Dill
Journal:  Phys Rev Lett       Date:  2013-11-01       Impact factor: 9.161

4.  Zeroth law compatibility of nonadditive thermodynamics.

Authors:  T S Biró; P Ván
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-06-27

5.  Rényi entropy yields artificial biases not in the data and incorrect updating due to the finite-size data.

Authors:  Thomas Oikonomou; G Baris Bagci
Journal:  Phys Rev E       Date:  2019-03       Impact factor: 2.529

6.  Perspective: Maximum caliber is a general variational principle for dynamical systems.

Authors:  Purushottam D Dixit; Jason Wagoner; Corey Weistuch; Steve Pressé; Kingshuk Ghosh; Ken A Dill
Journal:  J Chem Phys       Date:  2018-01-07       Impact factor: 3.488

7.  Reply to "Comment on 'Rényi entropy yields artificial biases not in the data and incorrect updating due to the finite-size data' ".

Authors:  Thomas Oikonomou; G Baris Bagci
Journal:  Phys Rev E       Date:  2019-08       Impact factor: 2.529

8.  When Shannon and Khinchin meet Shore and Johnson: Equivalence of information theory and statistical inference axiomatics.

Authors:  Petr Jizba; Jan Korbel
Journal:  Phys Rev E       Date:  2020-04       Impact factor: 2.529

9.  Hierarchical Structure of Generalized Thermodynamic and Informational Entropy.

Authors:  Pierfrancesco Palazzo
Journal:  Entropy (Basel)       Date:  2018-07-25       Impact factor: 2.524

10.  Unifying Aspects of Generalized Calculus.

Authors:  Marek Czachor
Journal:  Entropy (Basel)       Date:  2020-10-19       Impact factor: 2.524

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.