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Differential Geometrical Theory of Statistics
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Entropy2016,18, 433 ThusonemayregardelementsofM(∇,∇∗)asorthogonal2-webs inM. Wekeepourpreviousnotation. Thewehave qψ(X,Y)=g(ψ+(X),Y), ωψ(X,Y)=g(ψ−(X),Y). Nowsuppose that (M,g,∇,∇∗) is aduallyïŹ‚atpairwhoseKValgebrasarenotedAandA∗.We take into account the inclusion M(∇,∇∗)⊂Z1τ(A∗,A∗). WehaveamapofM(∇,∇∗) in the spaceofdeRham2-cocyleswhich isdeïŹnedby M(∇,∇∗) ψ→ωψ. Assumethat the cocycleψ∈M(∇,∇∗) is exact. Then there existsΟ∈A∗ such that ψ(X)=∇∗XΟ ∀X∈A. Bythedualistic relationoneeasily sees that ωψ=ddR(ÎčΟg). Thereforeonegets a canonical linearmap H1τ(A∗,A∗) [ψ]→ [ωψ]∈H2dR(M,R). Thenext subsubsection isdevoted toa fewconsequencesof itemswe justdiscussed. 5.1.6. RiemannianWebs—SymplecticWebs inStatisticalManifolds WeintroduceRiemannianwebsandsymplecticwebsandwediscusstheir impactsonthetopology ofstatisticalmanifolds.Werecall thataRiemannianfoliation isasymmetricbilinear formg∈S2(M) withthe followingproperties (a) rank(g)= constant, (b) LXg=0∀X∈Γ(Ker(g)). Weput D=Ker(g). Toavoidconfusions thepair (D,g)stands for theRiemannianfoliationg. DeïŹnition 36. A Riemannian k-web is a family of k Riemannian foliations in general position (Dj,gj), j :=1,...,k.Asymplectic k-web is a familyof k symplectic foliations ingeneralposition (Dj,ωj); j :=1,...,k). Let (M,g,D,D∗)beaduallyïŹ‚atpairwhoseKValgebras aredenotedbyAandA∗. We recall the inclusion M(D,D∗)⊂Z1τ(A∗,A∗). Consider a statistical manifold (M,g,∇,∇∗). By the classical theorem of Frobenius every ∇-paralleldifferential systeminM is completely integrable. 187
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