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Physics Letters A
Article . 2016 . Peer-reviewed
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Article . 2016
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https://dx.doi.org/10.48550/ar...
Article . 2016
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On the connection between linear combination of entropies and linear combination of extremizing distributions

Authors: Sicuro G.; Bagchi D.; Tsallis C.;

On the connection between linear combination of entropies and linear combination of extremizing distributions

Abstract

We analyze the distribution that extremizes a linear combination of the Boltzmann--Gibbs entropy and the nonadditive $q$-entropy. We show that this distribution can be expressed in terms of a Lambert function. Both the entropic functional and the extremizing distribution can be associated with a nonlinear Fokker--Planck equation obtained from a master equation with nonlinear transition rates. Also, we evaluate the entropy extremized by a linear combination of a Gaussian distribution (which extremizes the Boltzmann--Gibbs entropy) and a $q$-Gaussian distribution (which extremizes the $q$-entropy). We give its explicit expression for $q=0$, and discuss the other cases numerically. The entropy that we obtain can be expressed, for $q=0$, in terms of Lambert functions, and exhibits a discontinuity in the second derivative for all values of $q<1$. The entire discussion is closely related to recent results for type-II superconductors and for the statistics of the standard map.

8 pages, 3 figure

Country
Italy
Keywords

Statistical Mechanics (cond-mat.stat-mech), Lambert function, Fokker-Planck equation, FOS: Physical sciences, Fokker–Planck equation; Lambert function; Nonadditive entropy, Foundations of equilibrium statistical mechanics, Classical equilibrium statistical mechanics (general), nonadditive entropy, Fokker-Planck equations, Condensed Matter - Statistical Mechanics

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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!
4
Average
Average
Average
Green
bronze