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Differential Geometrical Theory of Statistics
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Entropy2016,18, 433 (b) Suppose that themanifoldMiscompactandsuppose thatg∈S∇2 (M) isapositiveRiemannianfoliation,viz g(X,X)≄0 ∀X. Thenthe theoryofMolinomaybeapplied to studyg [38]. Therefore, the structure theoremofMolino tells that ggives rise toaLie foliationwhoses leavesare theadherences leavesof gÂŻ [39]. (c) In theprincipal bundle ofïŹrst order linear framesofMtheanalogof aKoszul connection∇ is aprincipal connection1-formωwhosecurvature formisdenotedbyΩ. Thecurvature formis involvedinconstructing characteristic classes ofM, (the formalismofChern-Weill.) At another side∇-geodesic Riemannian foliations and∇-geodesic symplectic foliations are Lie algebroids. Theyhave their extrinsic algebraic topology. Inparticular the theoryof integrable systemsmay be performed in every leaf of ω ∈Ω∇2 (M). If one considers the α-connections in a statisticalmodel thosenewinsightsmaybeof interest. Here isan interpretationof thenumerical invaraintn(∇). Theorem 10. We assume there exists ∇ ∈ SLC(M) whose linear holonomy group H(∇) is neither an orthogonal subgroup nor a symplectic subgroup. If n(∇) > 0 then the manifold M admits a couple (Fr,Fs) formedbya∇-geodesicRiemannian foliationFr anda∇-geodesic symplectic foliationFs. Proof. LetgbeaRiemannianmetric tensor inM. Since n(∇)≀dim(S∇2 (M)(x)) forallx∈M thereexistsψ∈M(∇,∇(g)suchthat qψ∈S∇2 (M)\{0} , ωψ∈Ω∇2 (M)\{0} . Theassumptionthat theholonomygroupH(∇) isneitherorthogonalnorsymlectic implies Ker(qψ) =0, Ker(ωψ) =0. BothdistributionsKer(qψ)andKer(ωψ)are∇-geodesic. Since∇ is torsionfree thosedistributions arecompletely integrable. ForallX∈Γ(Ker(qψ))wehave LXqψ=0. Mutatismutandis forallX∈Γ(Ker(ωψ))wehave LXωψ=0. Fromthosepropertiesweconclude (M,Ker(qψ),qψ) is a ∇-geodesic Riemannian foliation, (M,Ker(ωψ),ωψ) is a ∇-geodesic symplectic foliation. Thetheoremisproved. 185
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