A two-parameter generalization of Shannon-Khinchin Axioms and the uniqueness theorem
arXiv:cond-mat/0608139 · doi:10.1016/j.physleta.2007.04.009
Abstract
Based on the one-parameter generalization of Shannon-Khinchin (SK) axioms presented by one of the authors, and utilizing a tree-graphical representation, we have further developed the SK Axioms in accordance with the two-parameter entropy introduced by Sharma-Taneja, Mittal, Borges-Roditi, and Kaniadakis-Lissia-Scarfone. The corresponding unique theorem is proved. It is shown that the obtained two-parameter Shannon additivity is a natural consequence from the Leibniz rule of the two-parameter Chakrabarti-Jagannathan difference operator.
arXiv comment7pages, Phys. Rev. style
References in corpus (8)
- Statistical mechanics in the context of special relativity
- Non Linear Kinetics underlying Generalized Statistics
- Axioms and uniqueness theorem for Tsallis entropy
- Two-parameter deformations of logarithm, exponential, and entropy: A consistent framework for generalized statistical mechanics
- Deformed logarithms and entropies
- Generalized thermostatistics based on deformed exponential and logarithmic functions
- Thermodynamic equilibrium and its stability for Microcanonical systems described by the Sharma-Taneja-Mittal entropy
- Legendre structure of the thermostatistics theory based on the Sharma-Taneja-Mittal entropy
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