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Differential Geometrical Theory of Statistics
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Entropy2016,18, 433 Wehavepointedout thatcriterions fordecidingwhetherasmoothmanifoldadmitsRiemannian foliations (respectivelysymplectic foliations )aremissing.Ourpurpose is toaddress thisexistence problem in the category SLC whose objects are symmetric gauge structures. Such an object is a pair (M,∇) where∇ is a torsion free Koszul connection in M. The category of locally ïŹ‚at structureLF isasubcategoryofSLC. The theoryofKVhomologyisuseful fordiscussinggeodesic Riemannianfoliations in thecategoryLF. Ina locallyïŹ‚atmanifold (M,D)wehavebeendealingwith thedecomposition H2τ(A,R)=H2dR(M)⊕SD2 (M). HereA is theKValgebraof (M,D). Letb2(M)be thesecondBettinumberofM.WedeïŹnethenumericalgeometric invariant r(D)by r(D)=dim(H2τ(A,R))−b2(M). Formally r(D) is thecodimensionofH2dR(M)⊂H2τ(A,R),viz r(D)=dim( H2τ(A,R) H2dR(M) ). Weconsider theexact sequences O→H2dR(M)→H2τ(A,R)→SA2 (M)→0 and →H2τ,e(A,R)→H2τ(A,R)→H2τ,res(A,R)→H3τ,e(R,R)→ Fromthoseexact sequences,onededuces theequality H2τ(A,R) H2dR(M) = H2τ,e(A,R) H2dR(M) . Thus r(D) is formally thedimensionofSA2 (M). Thepresentapproach leads to the followingstatement Proposition1. If r(D)>0 thenMadmitsnontrivialD-geodesicRiemannian foliations. Proof. LetBbeanonzeroelementofSA2 (M)andletDbethekernelofB. (1)Suppose that 0< rank(D)<dim(M) Therefore, (M,B) isaD-geodesicRiemannianfoliation. (2)Suppose that rank(D)=O. Then (M,B) isaRiemannianmanifoldtheLevi-Civitaconnectionofwhich isD. Therefore, the propositionholds. BeforeproceedingwedeïŹnethreenumerical invariants r(M)=max{r(D)|D∈LC(M)} , s(M,A)=max { rank(B)|B∈SA2 (M) } , s(M)=max{s(M,A)|D∈LF(M)} . 169
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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