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Differential Geometrical Theory of Statistics
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Entropy2016,18, 383 Therefore,by inductionontherank, it suffices toshowthat the left-handsideof (38)equals: (2π)q1/2Γ(s1−q1/2)x−s111 ∫ P∗V′ e−(x˜ ′|ξ′)δV ′ s′ (ξ ′)ϕV′(ξ′)dξ′. (39) Whenq1=0, sincedξ= dξ11dξ′, the left-handsideof (38)equals:∫ ∞ 0 e−x11ξ11ξs1−111 dξ11 ∫ P∗V′ e−(x ′|ξ′)δV ′ s′ (ξ ′)ϕV′(ξ′)dξ′, whichcoincideswith (39) in thiscase. Assumeq1>0.Keeping(16)and(18) inmind,weput ξ˜11 := ξ11− tvψ(ξ′)−1v=(φ1(ξ)−1)−111 >0. Bythechangeofvariablesξ= ι(ξ˜11+ tvψ(ξ′)−1v, v, ξ′),wehavedξ=2q1/2dξ˜11dvdξ′. Ontheother hand,weobserve: (x|ξ)= x11(ξ˜11+ tvψ(ξ′)−1v)+2tuv+(x′|ξ′) = x11ξ˜11+x11t(v+x−111 ψ(ξ ′)u)ψ(ξ′)−1(v+x−111 ψ(ξ ′)u)+(x−x−111UtU|ξ′). Thus, the left-handsideof (39)equals:∫ ∞ 0 ∫ R q1 ∫ P∗V′ e−x11ξ˜11e−x11 t(v+x−111 ψ(ξ ′)u)ψ(ξ′)−1(v+x−111 ψ(ξ ′)u)e−(x−x −1 11U tU|ξ′) ×ξ˜s1−1−q1/211 (detψ(ξ′))−1/2δV ′ s′ (ξ ′)ϕV′(ξ′)2q1/2dξ˜11dvdξ′. (40) BytheGaussian integral formula,wehave:∫ R q1 e−x11 t(v+x−111 ψ(ξ ′)u)ψ(ξ′)−1(v+x−111 ψ(ξ ′)u)dv=πq1/2x−q1/211 (detψ(ξ ′))1/2, so that (40)equals: (2π)q1/2x−q1/211 ∫ ∞ 0 e−x11ξ˜11ξ˜s1−1−q1/211 dξ˜11 ∫ P∗V′ e−(x−x −1 11U tU|ξ′)δV ′ s′ (ξ ′)ϕV′(ξ′)dξ′, whichcoincideswith (39)because: ∫∞ 0 e −x11ξ˜11ξ˜s1−1−q1/211 dξ˜11=Γ(s1−q1/2)x−s1+q1/211 . Example 3. LetZV be as in Example 1, and let x ∈ PV and ξ ∈ P∗V be as in (2) and (25), respectively. Then,wehave for s=(s1,s2,s3)∈C3, ΔVs (x)=(x211) s1/2−s2 ∣∣∣∣∣∣∣ x1 0 x4 0 x1 0 x4 0 x2 ∣∣∣∣∣∣∣ s2−s3 (detx)s3 = xs1−s2−s311 ∣∣∣∣∣x1 x4x4 x2 ∣∣∣∣∣ s2−s3 (detx)s3, and: δVs (ξ)=(ξ1− ξ24 ξ2 − ξ 2 5 ξ3 )s1(ξ2− ξ 2 6 ξ3 )s2ξs33 = ∣∣∣∣∣∣∣ ξ1 ξ4 ξ5 ξ4 ξ2 0 ξ5 0 ξ3 ∣∣∣∣∣∣∣ s1 ∣∣∣∣∣ξ2 ξ6ξ6 ξ3 ∣∣∣∣∣ s2 ξ−s12 ξ s3−s1−s2 3 . 245
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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Differential Geometrical Theory of Statistics