dc.creatorFlego, Silvana
dc.creatorPlastino, Ángel Luis
dc.creatorPlastino, Ángel Ricardo
dc.date2011-11
dc.date2020-05-18T17:40:36Z
dc.date.accessioned2023-07-14T20:06:06Z
dc.date.available2023-07-14T20:06:06Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/96193
dc.identifierhttps://ri.conicet.gov.ar/11336/81163
dc.identifierhttps://arxiv.org/abs/1101.4659
dc.identifierissn:0378-4371
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7437907
dc.descriptionIt is well known that a suggestive relation exists that links the Schrödinger equation (SE) to the information-optimizing principle based on the Fisher information measure (FIM). We explore here an approach that will allow one to infer the optimal FIM compatible with a given amount of prior information without explicitly solving first the associated SE. This technique is based on the virial theorem and it provides analytic solutions for the physically relevant FIM, that which is minimal subject to the constraints posed by the prior information.
dc.descriptionFacultad de Ingeniería
dc.descriptionInstituto de Física La Plata
dc.descriptionCentro Regional de Estudios Genómicos
dc.formatapplication/pdf
dc.format4702-4712
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.subjectFisher's information measure
dc.subjectInformation theory
dc.subjectLegendre transform
dc.subjectVirial theorem
dc.titleInferring an optimal Fisher measure
dc.typeArticulo
dc.typePreprint


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