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Beyond Gibbs-Boltzmann-Shannon: general entropies—the Gibbs-Lorentzian example

Authors: Treumann, Rudolf A.; Baumjohann, Wolfgang;

Beyond Gibbs-Boltzmann-Shannon: general entropies—the Gibbs-Lorentzian example

Abstract

We propose a generalisation of Gibbs' statistical mechanics into the domain of non-negligible phase space correlations. Derived are the probability distribution and entropy as a generalised ensemble average, replacing Gibbs-Boltzmann-Shannon's entropy definition enabling construction of new forms of statistical mechanics. The general entropy may also be of importance in information theory and data analysis. Application to generalised Lorentzian phase space elements yields the Gibbs-Lorentzian power law probability distribution and statistical mechanics. Details can be found in arXiv:1406.6639

6 pages, no figures, paper appeared in slightly different form in. For details on application see arXiv:1406.6639

Keywords

maximum entropy, Statistical Mechanics (cond-mat.stat-mech), Physics, QC1-999, Information Theory, FOS: Physical sciences, Statistical Mechanics, cosmic ray spectra, Generalised Lorentzian distributions, statistical mechanics, generalized-Lorentzian distributions, entropy, Condensed Matter - Statistical Mechanics, information theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
Green
gold