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CONICET Digital
Article . 2018
License: CC BY NC SA
Data sources: CONICET Digital
Modern Physics Letters B
Article . 2018 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2018
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
ResearchGate Data
Preprint . 2018
Data sources: Datacite
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Features of constrained entropic functional variational problems

Authors: A. R. Plastino; A. Plastino; M. C. Rocca;

Features of constrained entropic functional variational problems

Abstract

We describe in great generality features concerning constrained entropic, functional variational problems that allow for a broad range of applications. Our discussion encompasses not only entropies but, potentially, any functional of the probability distribution, like Fisher-information or relative entropies, etc. In particular, in dealing with generalized statistics in straightforward fashion one may sometimes find that the celebrated relation between entropic small changes and mean energy ones, [Formula: see text], does not seems respected. We show here that, on the contrary, it is indeed obeyed by any system subject to a Legendre extremization process, i.e. in all constrained entropic variational problems.

Keywords

Statistical Mechanics (cond-mat.stat-mech), Physics, Física, FOS: Physical sciences, Range (mathematics), Generality, Computer science, GENERALIZED MAXENT MAXENT VARIATIONS, Probability distribution, https://purl.org/becyt/ford/1.3, Legendre polynomials, Beta (velocity), Statistical physics, GENERALIZED ENTROPIES, https://purl.org/becyt/ford/1, 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!
0
Average
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Average
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