dc.creatorGómez, Ignacio Sebastián
dc.creatorPortesi, Mariela Adelina
dc.date2017-06
dc.date2020-06-05T19:33:57Z
dc.date.accessioned2023-07-14T19:59:46Z
dc.date.available2023-07-14T19:59:46Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/97640
dc.identifierhttps://ri.conicet.gov.ar/11336/63627
dc.identifierhttp://aip.scitation.org/doi/abs/10.1063/1.4985374
dc.identifierissn:0094-243X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7437500
dc.descriptionWe present an extension of the ergodic, mixing and Bernoulli levels of the ergodic hierarchy in dynamical systems, the information geometric ergodic hierarchy, making use of statistical models on curved manifolds in the context of information geometry. We discuss the 2×2 Gaussian Orthogonal Ensembles (GOE) within a 2D correlated model. For values of the correlation coefficient vanishingly small, we find that GOE belong to the information geometric (IG) mixing level having a maximum negative value of scalar curvature. Moreover, we propose a measure of distinguishability for the family of distributions of the 2D correlated model that results to be an upper bound of the IG correlation.
dc.descriptionInstituto de Física La Plata
dc.descriptionConsejo Nacional de Investigaciones Científicas y Técnicas
dc.formatapplication/pdf
dc.format1-8
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.subjectErgodic hierarchy
dc.subjectGoe
dc.subjectEntropic dynamics
dc.titleErgodic statistical models: Entropic dynamics and chaos
dc.typeArticulo
dc.typeArticulo


Este ítem pertenece a la siguiente institución