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Differential Geometrical Theory of Statistics
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Entropy2016,18, 407 Ifweuse thenotation introducedin(24),wecanwrite gij=− [( ∂ ∂θi ) pθ ( ∂ ∂θj ) pϑ D(α)ϕ (pθ ‖ pϑ) ] pϑ=pθ =E′′θ [∂ϕ−1(pθ) ∂θi ∂ϕ−1(pθ) ∂θj ] . It remains toshowthecaseα=±1.Comparing(13)and(23),wecanwrite Dϕ(pθ ‖ pϑ)=E′θ[ϕ−1(pθ)−ϕ−1(pϑ)]. (35) Weuse theequivalentexpressions gij= [( ∂2 ∂θi∂θj ) p Dαϕ(p‖ q) ] q=p = [( ∂2 ∂θi∂θj ) q Dαϕ(p‖ q) ] q=p , whichfollowsfromcondition(32), to infer that gij= [( ∂2 ∂θi∂θj ) pϑ Dϕ(pθ ‖ pϑ) ] pθ=pϑ =−E′θ [∂2ϕ−1(pθ) ∂θi∂θj ] . (36) BecauseD(−1)ϕ (p ‖ q)=D(1)ϕ (q ‖ p)=Dϕ(p ‖ q),weconclude that themetricdefinedby (22) coincideswith themetric inducedbyD(−1)ϕ (· ‖ ·)andD(1)ϕ (· ‖ ·). In generalized statistical manifolds, the generalized Rényi divergenceD(α)ϕ (· ‖ ·) induces aconnectionD(α),whoseChristoffel symbolsΓ(α)ijk aregivenby Γ(α)ijk =− [( ∂2 ∂θi∂θj ) p ( ∂ ∂θk ) q D(α)ϕ (p‖ q) ] q=p . BecauseD(α)ϕ (p ‖ q) =D(−α)ϕ (q ‖ p), it follows thatD(α) andD(−α) aremutuallydual for any α∈ [−1,1]. Inotherwords,Γ(α)ijk andΓ (−α) ijk satisfy the relation ∂gjk ∂θi = Γ(α)ijk +Γ (−α) ikj . Adevelopment involvingexpression(35) results in Γ(1)ijk =E ′′ θ [∂2ϕ−1(pθ) ∂θi∂θj ∂ϕ−1(pθ) ∂θk ] −E′θ [∂2ϕ−1(pθ) ∂θi∂θj ] E′′θ [ u0 ∂ϕ−1(pθ) ∂θk ] , (37) and Γ(−1)ijk =E ′′ θ [∂2ϕ−1(pθ) ∂θi∂θj ∂ϕ−1(pθ) ∂θk ] +E′′′θ [∂ϕ−1(pθ) ∂θi ∂ϕ−1(pθ) ∂θj ∂ϕ−1(pθ) ∂θk ] −E′′θ [∂ϕ−1(pθ) ∂θj ∂ϕ−1(pθ) ∂θk ] E′′θ [ u0 ∂ϕ−1(pθ) ∂θi ] −E′′θ [∂ϕ−1(pθ) ∂θi ∂ϕ−1(pθ) ∂θk ] E′′θ [ u0 ∂ϕ−1(pθ) ∂θj ] . (38) Forα∈ (−1,1), theChristoffel symbolsΓ(α)ijk canbewrittenasaconvexcombinationofΓ (−1) ijk and Γ(−1)ijk , asasserted in thenext result. Proposition5. TheChristoffel symbolsΓ(α)ijk inducedby thedivergenceD (α) ϕ (· ‖ ·) satisfy the relation Γ(α)ijk = 1−α 2 Γ(−1)ijk + 1+α 2 Γ(1)ijk , forα∈ [−1,1]. (39) 283
zurück 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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Naturwissenschaften Physik
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Austria-Forum
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Differential Geometrical Theory of Statistics