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Differential Geometrical Theory of Statistics
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Entropy2016,18, 433 Thisyieldsa linearmap H1τ(A∗,A∗) [ψ]→ [ψ⊗ωψ]∈H1,2(C). Nowlet (M,g,∇,∇∗)beaduallyïŹ‚atpairwhoseKValgebrasaredenotedbyAandA∗. Weidentify thevectorspaceΓ(Hom(TM,TM))withthespaceC1τ(A∗,A∗). WekeepthenotationD∇∇∗,Cij,ÎŽij andqψ. Therefore,wecanrephraseLemma4as it follows. Proposition5. ForeverysectionψofHom(TM,TM) the followingassertionsare equivalent. (1) : D∇∇ ∗ (ψ)=0, (2) : ÎŽ12(qψ)=0 Here isan interestingfeature. InaduallyïŹ‚atpair (M,g,∇,∇∗)wecombine thedoublecomplex{ Cij,ÎŽij } withthecorrespondence ψ→ qψ. Thatallowustoreplace thedifferentialequation FE∇∇ ∗ : D∇∇ ∗ (ψ)=0 bythehomologicalequation ÎŽ12(ψ)=0. That isarelevant impactontheglobalanalysisofcombinationsof theKVcohomologicalmethods withmethods in the informationgeometry. 5.1.5.ComputationalRelations. RiemannianFoliations. SymplecticFoliations:Continued Wecontinuetorelate thevectorspaceofgaugehomomorphismsandthedifferential topology. Thetoolsweuseare theKVcohomologyandtheAmaridualistic relation. Let (M,g,D,D∗)beadualpair. Thevector subspaceof g-preservingelementsofM(D,D∗) is denotedbyM(g,D,D∗). Thuseveryψ∈M(g,D,D∗)satisïŹes the identity g(ψ(X),Y)+g(X,ψ(Y))=0. NowweïŹxaKoszulconnectionD0 andwedeïŹnethemap Rie(M) g→Dg∈LC(M). bysetting g(DgXY,Z)=Xg(Y,Z)−g(Y,D0XZ). WedeïŹnethenonnegative integers nx(D0)=dim[ Mx(D0,Dg) Mx(g,D0,Dg)], n(DO)=min x∈M dim[ Mx(D0,Dg) Mx(g,D0,Dg)]. 183
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