dc.creatorPlastino, Ángel Ricardo
dc.creatorPlastino, Ángel Luis
dc.creatorRocca, Mario Carlos
dc.date2018
dc.date2021-09-17T15:46:10Z
dc.date.accessioned2023-07-15T03:09:29Z
dc.date.available2023-07-15T03:09:29Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/125085
dc.identifierissn:0217-9849
dc.identifierissn:1793-6640
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7464656
dc.descriptionWe 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 first thermal law $\frac{dS}{d\beta}=\beta\frac{d }{d\beta}$ seems to be not 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.
dc.descriptionFacultad de Ciencias Exactas
dc.descriptionInstituto de Física La Plata
dc.formatapplication/pdf
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectFísica
dc.subjectLegendre polynomials
dc.subjectPhysics
dc.subjectStatistical physics
dc.subjectProbability distribution
dc.subjectRange (mathematics)
dc.subjectBeta (velocity)
dc.subjectGenerality
dc.subjectComputer science
dc.titleFeatures of constrained entropic functional variational problems
dc.typeArticulo
dc.typePreprint


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