Page - 192 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
Nowweassumeamodel (Î,P) is regular. Then theChristoffel symbols and theFisher informationare
relatedby the formula
Îαij,k=g(âαâiâj,âk).
Further everyquadruple (Î,g,âα,ââα) is a statisticalmanifold [18,48].
Thuswehavea familyof splittingshort exact sequences
0âΩâα(Î)âM(ââα,âα)âSâα2 (Î)â0.
Sothemachinerywehavedeveloped in theprecedingsectionscanbeperformed to explore thedifferential
topologyof regular local statisticalmodels. For thatpurpose the crucial tool is the familyofvector space
Sα2(Î)=Sâ
α
2 (Î).
Weconsider theabstract trivial bundle
âȘα[SαĂ{α}]âR
whoseïŹberoverαâR isSα(Î). To everyBâSα(Î)weassign theuniqueÏ+âÎŁ(g)deïŹnedby
g(Ï+α(X),Y)=B(X,Y).
Themachinery in theprecedingsubsection leads to the followingproposition.
Proposition8. Weassume (Î,P) is regular.
(1) Everynonzero singular section
R αâBαâSα(Î)
gives rise the familyof (g-orthogonal)2-web
TÎ=Ker(Ï+α)â im(Ï+α).
Furtheraccording to thenotationusedpreviously (Bα) is a familyofRiemannian foliationsas in [39,40].
(2) ByreplacingSα(Î)byΩâ2 (Î) everynonzero singular section
R αâÏαâΩâ2 (Î)
yieldsa familyof symplectic foliationsÏα.
Reminder.
(i) αâBα is calleda singular section if eachBα isnon inversible.
(ii) αâÏα is calleda simple section if eachÏα is simple.
Wehaveusedsomegaugemorphisms toconstructRiemanniansubmersionsof statisticalmanifoldsover
symplecticmanifolds. Thenotionswe just introduced lead to similar situations.
Theorem15. Let (Î,P)bea regular statisticalmodelwhoseFisher information isdenotedbyg. Everysimple
nonzero singular section
R αâÏαâΩα(Î)
deïŹnesanα-familyofRiemanniansubmersionsof (Î,g)onto symplecticmanifolds.
192
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