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entropy Article GeometricTheoryofHeat fromSouriauLieGroups ThermodynamicsandKoszulHessianGeometry: Applications inInformationGeometryfor ExponentialFamilies FrĂ©dĂ©ricBarbaresco AdvancedRadarConceptsBusinessUnit,ThalesAirSystems,Limours91470,France; frederic.barbaresco@thalesgroup.com AcademicEditor:AdomGifïŹn Received: 4August2016;Accepted: 27September2016;Published: 4November2016 Abstract: Weintroduce the symplectic structureof informationgeometrybasedonSouriau’sLie group thermodynamicsmodel,with a covariant deïŹnition ofGibbs equilibriumvia invariances throughco-adjointactionofagrouponitsmomentspace,deïŹningphysicalobservables likeenergy, heat, andmoment as pure geometrical objects. Using geometric Planck temperature of Souriau model and symplectic cocycle notion, theFishermetric is identiïŹedas a Souriaugeometric heat capacity. TheSouriaumodel isbasedonafïŹnerepresentationofLiegroupandLiealgebra thatwe comparewithKoszulworksonG/Khomogeneousspaceandbijectivecorrespondencebetweenthe setofG-invariantïŹ‚atconnectionsonG/KandthesetofafïŹnerepresentationsof theLiealgebraof G. In theframeworkofLiegroupthermodynamics,anEuler-PoincarĂ©equation iselaboratedwith respect to thermodynamicvariables, andanewvariationalprincipal for thermodynamics isbuilt throughaninvariantPoincarĂ©-Cartan-Souriau integral. TheSouriau-Fishermetric is linkedtoKKS (Kostant–Kirillov–Souriau) 2-formthat associates a canonicalhomogeneous symplecticmanifold to the co-adjoint orbits. Weapply thismodel in the frameworkof informationgeometry for the actionof anafïŹnegroup for exponential families, andprovide some illustrationsofuse cases for multivariategaussiandensities. Informationgeometryispresentedinthecontextof theseminalwork ofFrĂ©chetandhisClairaut-Legendreequation. TheSouriaumodelof statisticalphysics isvalidated as compatiblewith theBaliangaugemodelof thermodynamics. Werecall theprecursorworkof CasalisonafïŹnegroupinvariance fornaturalexponential families. Keywords:Liegroupthermodynamics;momentmap;Gibbsdensity;Gibbsequilibrium;maximum entropy; informationgeometry; symplecticgeometry;Cartan-PoincarĂ© integral invariant;geometric mechanics;Euler-PoincarĂ©equation;Fishermetric;gaugetheory;afïŹnegroup Lorsque le faitqu’onrencontreestenoppositionavecune thĂ©orie rĂ©gnante, il fautaccepter le fait et abandonner la thĂ©orie, alorsmĂȘmequecelle-ci, soutenuepardegrandsnoms, estgĂ©nĂ©ralementadoptĂ©e —ClaudeBernard in“IntroductionĂ  l’Étudede laMĂ©decineExpĂ©rimentale” [1] Au dĂ©part, la thĂ©orie de la stabilitĂ© structurelle m’avait paru d’une telle ampleur et d’une telle gĂ©nĂ©ralitĂ©, qu’avec elle je pouvais espĂ©rer en quelque sorte remplacer la thermodynamiquepar lagĂ©omĂ©trie,gĂ©omĂ©triserenuncertainsens lathermodynamique, Ă©liminer des considĂ©rations thermodynamiques tous les aspects Ă  caractĂšremesurable et stochastiques pour ne conserver que la caractĂ©risation gĂ©omĂ©trique correspondante desattracteurs. —RenĂ©Thomin“Logoset thĂ©oriedesCatastrophes” [2] Entropy2016,18, 386 49 www.mdpi.com/journal/entropy
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Differential Geometrical Theory of Statistics
Title
Differential Geometrical Theory of Statistics
Authors
Frédéric Barbaresco
Frank Nielsen
Editor
MDPI
Location
Basel
Date
2017
Language
English
License
CC BY-NC-ND 4.0
ISBN
978-3-03842-425-3
Size
17.0 x 24.4 cm
Pages
476
Keywords
Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
Categories
Naturwissenschaften Physik
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Differential Geometrical Theory of Statistics