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Entropy2016,18, 383 Assume q1> 0. Keeping inmindthatW˜1 R⊕W andW Rq1 by (4),wehave for ξ∈ZV as in (10), φ1(ξ)= ( ξ11 tv v ψ(ξ′) ) ∈Sym(1+q1,R), (12) wherev=vect(V)∈Rqi andψ :ZV′→Sym(qi,R) isdefinedinsuchawaythat: (UtU|ξ′)= tuψ(ξ′)u (ξ′ ∈ZV′,U∈W, u=vect(U)∈Rq1). (13) Ontheotherhand, forx∈ZV as in (6),wehave: (x|ξ)= x11ξ11+2x11tu˜v+x11tu˜ψ(ξ′)u˜+(x˜′|ξ). (14) OwingtoLemma1(iii), theelementξ∈ZV belongs toP∗V if andonly if theright-handside is strictly positive forallx11≥0, U˜∈W and x˜′ ∈PV′ with (x11, x˜′) =(0,0). Assumeξ∈P∗V. Consideringthe casex11=0,wehave (x˜′|ξ′)>0 forall x˜′ ∈PV′\{0},whichmeans thatξ′ ∈P∗V′. Then, thequantity in (13) is strictlypositive fornon-zeroU becauseUtU belongs toPV \{0}. Thus, ψ(ξ′) is positive definite,and(14) is rewrittenas: (x|ξ)= x11(ξ11− tvψ(ξ′)−1v)+x11t(u˜+ψ(ξ′)−1v)ψ(ξ′)(u˜+ψ(ξ′)−1v)+(x˜′|ξ′). (15) Therefore,weobtain: P∗V= { ξ∈ZV ; ξ′ ∈P∗V′ andξ11− tvψ(ξ′)−1v>0 } . (16) Ontheotherhand,wesee from(12) that: φ1(ξ)= ( 1 tvψ(ξ′)−1 Iq1 )( ξ11− tvψ(ξ′)−1v ψ(ξ′) )( 1 ψ(ξ′)−1v Iq1 ) . (17) Hence,wededuce (11) from(16)and(17). Wenote that, ifq1>0, the (1,1)-componentof the inversematrixφ1(ξ)−1 isgivenby: (φ1(ξ) −1)11=(ξ11− tvψ(ξ′)−1v)−1 (18) thanks to (17). 3.Koszul–VinbergCharacteristicFunctionofP∗V Wedenote by ϕV theKoszul–Vinberg characteristic function ofP∗V. In this section, we give anexplicit formulaofϕV. Recall thatthelinearmapψ :ZV′→Sym(q1,R)playsanimportantrole intheproofofTheorem1. Weshall introducesimilar linearmapsψk :ZV→ Sym(qk,R) for k such that qk> 0. LetWkbe the subspaceof W˜k consistingofW ∈ W˜k forwhichw1 = xkk = 0. Then, clearly,Wk ∑⊕l>kVlk and dimWk= qk. Ifqk>0,usingthesameorthogonalbasisofVlk as in theprevioussection,wehave the isomorphismWk W →w=vect(W)∈Rqk. Similarly to (8),wedefineψkby: (WtW|ξ)= twψk(ξ)w (ξ∈ZV, W∈Wk,w=vect(W)∈Rqk). (19) Then,wehave: φk(ξ)= ( ξkk tvk vk ψk(ξ) ) (ξ∈ZV), (20) 239
zurĂźck zum  Buch Differential Geometrical Theory of Statistics"
Differential Geometrical Theory of Statistics
Titel
Differential Geometrical Theory of Statistics
Autoren
FrĂŠdĂŠric 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
SchlagwĂśrter
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