Alternative Entropy Measures and Generalized Khinchin–Shannon Inequalities

Author:

Mondaini Rubem P.ORCID,de Albuquerque Neto Simão C.

Abstract

The Khinchin–Shannon generalized inequalities for entropy measures in Information Theory, are a paradigm which can be used to test the Synergy of the distributions of probabilities of occurrence in physical systems. The rich algebraic structure associated with the introduction of escort probabilities seems to be essential for deriving these inequalities for the two-parameter Sharma–Mittal set of entropy measures. We also emphasize the derivation of these inequalities for the special cases of one-parameter Havrda–Charvat’s, Rényi’s and Landsberg–Vedral’s entropy measures.

Publisher

MDPI AG

Subject

General Physics and Astronomy

Reference16 articles.

1. Khinchin–Shannon Generalized Inequalities for “Non-additive” Entropy Measures;Mondaini,2019

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3. New Non-additive Measures of Entropy for Discrete Probability Distributions;Sharma;J. Math. Sci.,1975

4. Entropy and Information;Volkenstein,2009

5. Generalised information and entropy measures in physics

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1. A Comprehensive Review of Sharma-Mittal Entropy Measures and Their Usefulness in the Study of Discrete Probability Distributions in Mathematical Biology;Trends in Biomathematics: Exploring Epidemics, Eco-Epidemiological Systems, and Optimal Control Strategies;2024

2. The Maximal Extension of the Strict Concavity Region on the Parameter Space for Sharma-Mittal Entropy Measures: II;Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics;2023

3. Essential Conditions for the Full Synergy of Probability of Occurrence Distributions;Entropy;2022-07-18

4. The Maximal Extension of the Strict Concavity Region on the Parameter Space for Sharma-Mittal Entropy Measures;Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models;2022

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