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Differential Geometrical Theory of Statistics
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Entropy2016,18, 386 Ί(ÎČ) =−log M e−〈ÎČ,U(Ο)〉dλ [99]. Jean-Marie Souriau thengeneralizes theGibbs equilibriumstate to all symplecticmanifolds that have adynamical group. To ensure that all integrals thatwill be deïŹnedcouldconverge, the canonicalGibbs ensemble is the largest openproper subset (inLie algebra)where these integrals are convergent. This canonical Gibbs ensemble is convex. Thederivative ofΊ,Q = ∂Ω∂ÎČ (thermodynamic heat) is equal to themean value of the energyU. Theminus derivative of this generalizedheatQ,K=−∂Q∂ÎČ is symmetricandpositive (this isageometricheatcapacity). Entropy s is thendeïŹnedbyLegendre transformofΊ, s= 〈ÎČ,Q〉−Ω. If thisapproach isappliedfor thegroup of timetranslation, this is theclassical thermodynamics theory.However,Souriau [10]hasobserved that ifweapply this theory fornon-commutativegroup (GalileoorPoincarĂ©groups), the symmetryhasbeenbroken. ClassicalGibbs equilibriumstatesareno longer invariantby thisgroup. Thissymmetrybreakingprovides newequations,discoveredbySouriau[10]. We can read in his paper this prophetical sentence “This Lie group thermodynamics could be also of ïŹrst interest formathematics (Peut-ĂȘtre cetteThermodynamiquedes groupsdeLie a-t-elle un intĂ©rĂȘt mathĂ©matique)” [30]. Heexplains that for thedynamicGalileogroupwithonlyoneaxeof rotation, this thermodynamic theory is the theoryof centrifugewhere the temperaturevectordimension is equal to2 (sub-groupof invarianceof size2),usedtomake“uranium235”and“ribonucleicacid” [30]. Thephysicalmeaningof these twodimensions forvector-valuedtemperature is“thermicconduction” and“viscosity”. Souriausaidthat themodeluniïŹes“heatconduction”and“viscosity” (Fourierand Navierequations) in thesametheoryof irreversibleprocess. Souriauhasappliedthis theory indetail for relativistic idealgaswith thePoincarĂ©groupfor thedynamicalgroup. Before introducing theSouriauModelofLiegroupthermodynamics,wewillïŹrst remindreaders of theclassicalnotationofLiegrouptheory in theirapplicationtoLiegroupthermodynamics: ‱ Thecoadjoint representationofG is thecontragredientof theadjoint representation. Itassociates toeachg∈G the linear isomorphismAd∗g∈GL(g∗),whichsatisïŹes, foreachΟ∈ g∗ andX∈ g:〈 Ad∗g−1(Ο),X âŒȘ = 〈 Ο,Adg−1(X) âŒȘ (23) ‱ Theadjoint representationof theLiealgebrag is the linear representationofg into itselfwhich associates, to eachX∈ g, the linearmap adX ∈ gl(g). adTangent applicationofAdatneutral element eofG: ad=TeAd :TeG→End(TeG) X,Y∈TeG → adX(Y)= [X,Y] (24) ‱ Thecoadjointrepresentationof theLiealgebrag is thecontragredientof theadjointrepresentation. Itassociates, toeachX∈ g, the linearmap ad∗X∈ gl(g∗)whichsatisïŹes, foreachΟ∈ g∗ andX∈ g:〈 ad∗−X(Ο),Y âŒȘ = ă€ˆÎŸ,Ad−X(Y)〉 (25) Wecanillustrate forgroupofmatrices forG=GLn(K)withK=RorC. TeG=Mn(K), X∈Mn(K),g∈G Adg(X)= gXg−1 (26) X,Y∈Mn(K) adX(Y)=(TeAd)X(Y)=XY−YX=[X,Y] (27) Then, thecurve from e= Id= c(0) tangent toX= c(1) isgivenby c(t)= exp(tX)andtransform byAd:Îł(t)=Adexp(tX) adX(Y)=(TeAd)X(Y)= d dt Îł(t)Y ∣∣∣∣ t=0 = d dt exp(tX)Yexp(tX)−1 ∣∣∣∣ t=0 =XY−YX (28) 62
zurĂŒck zum  Buch Differential Geometrical Theory of Statistics"
Differential Geometrical Theory of Statistics
Titel
Differential Geometrical Theory of Statistics
Autoren
Frédéric Barbaresco
Frank Nielsen
Herausgeber
MDPI
Ort
Basel
Datum
2017
Sprache
englisch
Lizenz
CC BY-NC-ND 4.0
ISBN
978-3-03842-425-3
Abmessungen
17.0 x 24.4 cm
Seiten
476
Schlagwörter
Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
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Differential Geometrical Theory of Statistics