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Reactions, Distributions and Entropy in Generalized Statistical Mechanics

Authors: Francesco R. Ruggeri;

Reactions, Distributions and Entropy in Generalized Statistical Mechanics

Abstract

For a number of years, articles have appeared in the literature describing statistical mechanics which goes beyond that of the Boltzmann-Gibbs-Shannon picture (1),(2),(3). In addition, it seems two particular entropy density Sd functional forms in terms of the distribution f((e-u)/T), where u is the chemical potential, appear frequently. The first is Sd=- f ln(g(f)) and the second, Kaniadakis (1) Sd = - Integral df ln(g(f)) where ln(g(f)) = -(e-u)/T. In this note, we argue first that one is not abandoning Shannon’s entropy in general statistical mechanics, but rather is applying it to the number of reactions of a particle with energy ei, rather than to particle number. Thus, Shannon’s entropy is - g ln(g). This entropy, however, applies to reactions, not particles. Secondly, we try to show that it is Kaniadakis form of the particle entropy which is consistent with both thermodynamics and the Jaynes idea of maximizing particle entropy to find the distribution function.

Keywords

scattering entropy, thermodyanmic entropy, Kaniadakis entropy

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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