Page - 185 - in 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 g¯ [39].
(c) In theprincipal bundle offirst 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
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