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Differential Geometrical Theory of Statistics
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Entropy2016,18, 433 Ahighlightingconsequence is the identity D∗Xψ(Y)−ψ(DXY)=D∗Yψ(X)−ψ(DYX). (15) ToeveryvectorïŹeldXweassignthe linearmap Y→SX(Y)=D∗XY−ψ(DXY). ThenwerewriteEquations (14)and(15)as g(SX(Y),Z)+g(Y,SX(Z))=0, SX(Y)=SY(X). Weconsider the last identities in the frameworkof theSternberggeometry [50,51]. Since theapplication (X,Y)→SX(Y) is C∞(M)-bi-linear it belongs to the ïŹrst Kuranishi-Spencer prolongation of the orthogonal Lie algebra so(g). TherebySX(Y)vanishes identically. Inotherwordswehave ψ∈M(D,D∗). Thisends theproofofTheorem AComment. The Sternberg geometry is the algebraic counterpart of the global analysis onmanifolds. It has been introduced by Shlomo Sternberg andVictor Guillemin. It is an algebraic model for transitive differential geometry[50]. In thatapproachtheRiemanniangeometry isageometryof typeone.Allof itsKuranishi-Spencer prolongationsare trivial. Theunique relevantgeometrical invariantof theRiemnniangeometry is the curvature tensor of theLevi-Civita connection. Except the connectionofLevi-Civita the othermetric connectionshave beenof few interest. Reallyothermetric connectionsmayhaveoutstanding impactson thedifferential topology. I shall address thispurpose ina forthcomingpaper. 5.1.4. TheHomologicalNatureof theEquationFE∇∇∗ Beforeproceedingweplantodiscusssomehomological ingredientswhichareconnectedto the differentialequation FE∇∇ ∗ : D∇∇ ∗ (ψ)=0. LetusconsideraduallyïŹ‚atpair (M,g∗,D,D∗)andtheKVcomplex ψ∈C1,0=C1τ(A∗,A∗). Lemma4yields the followingcorollary. Corollary3. Wekeep thenotationused theprecedingsub-subsection.Givenagaugemorphismψ the following statementsare equivalent. (1) ψ⊗qψ is anexact (1,2)-cocyle, (2) ψ∈B1τ(A∗,A∗). Proof. Assumethat theassertion(2)holds. Thenthere isΟ∈A∗ satisfyingthecondition ψ(X)=D∗XΟ. 181
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