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Entropy2016,18, 433 To thosequestionswehaveobtainedsubstantial solutions in thecategoryof locallyïŹ‚atmanifolds. Thecohomologicalmethodswehaveusedarebasedonthesplit exact shortcohomologysequence 0→H2dR(M,R)→H2τ(A,R)→SA2 (M)→0. 7.2. TheKVCohomologyandtheGeometryofKoszul TheHessianGeometry isabyproduct localvanishingTheorems in the theoryofKVcohomology. ThegeometryofKoszul isabyproductofglobalvanishingTheoreminthesamesitting. 7.3. TheKVCohomologyandthe InformationGeometry The categoryof ïŹnite dimensional statisticalmodels for ameasurable set (Ξ,Ω) contains the subcategoryofïŹnitedimensionalHessianmanifolds. Fromthisviewpoint theHessian information geometry is nothing but the exponential information geometry (i.e., the geometry of exponential familiesandtheirgenelarizations). Theframeworkfor thosepurposes iscloselyrelatedtovanishing Theoremsin the theoryofKVcohomology. AtanothersidecotangentbundlesofHessianmanifoldsareKaehlerianmanifolds. Thisaspect hasbeendiscussedbymanyauthors, see [52]andthebibliographyibidem. 7.4. TheDifferentialTopologyandthe InformationGeometry Alotofoutstanding linksbetweenthedifferential topologyandthe informationgeometryare basedon thedualistic relationofAmari. This approach leads to signiïŹcant results in the category ofstatisticalmanifolds. Inastatisticalmanifold (M,g,∇,∇∗)wehave introducedthesplittingshort exact sequence 0→Ω∇2 (M)→M(∇,∇∗)→S∇2 (M)→0. Here (i)Ω∇2 (M) is thespaceof∇-geodesicsymplectic foliations inM; (ii)S∇2 (M) is thespaceof ∇-geodesicRiemannianfoliations inM. Thenumerical invariantn(∇)hasoutstanding impactsonthedifferential topologyofM. Seeour resultsonorthogonal2-websandonRiemanniansubmersionsonsymplecticmanifolds. 7.5. TheKVCohomologyandtheLinearizationProblemforWebs Ina locallyïŹ‚atpair (M,g,∇,∇∗)weconsider theshortexact sequence O→Ω∇2 (M)→M(∇,∇∗)→S∇2 (M)→O. The linearizationofwebsof isadifïŹcultoutstandingprobleminthedifferential topology. Gk[Ω∇2 (M)]stands for the family formedby [ω1,...,ωk]⊂Ω∇2 (M) suchthat dim[ÎŁjKer(ωj)]=min[dim(M),ÎŁjdim(Ker(ωj))]. Gk[S∇2 (M)]stands for the family formedby [B1,...,Bk]⊂S∇2 (M) suchthat dim[ÎŁjKer(Bj)]=min[dim(M),ÎŁjdim(Ker(Bj))]. (i) ElementsofGp[Ω∇2 (M)]areLINEARIZABLEsymplectick-webs. (ii) ElementsofGp[S∇2 (M)]areLINEARIZABLERiemanniank-webs. 198
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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
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Differential Geometrical Theory of Statistics