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Entropy2016,18, 383 LetW˜k (k=1,. . . ,r)bethevectorspaceofW∈Mat(n,nk,R)of the form: W= āŽ›āŽœāŽœāŽœāŽœāŽœāŽœāŽ 0n1+Ā·Ā·Ā·+nkāˆ’1,nk Xkk Xk+1,k ... Xrk āŽžāŽŸāŽŸāŽŸāŽŸāŽŸāŽŸāŽ  (Xkk= xkkInk, xkk∈R,Xlk∈Vlk, l> k). Clearly, the space W˜k is isomorphic to RāŠ•āˆ‘l>kVlk, which implies dimW˜k = 1+ qk with qk := āˆ‘l>knlk. Gathering orthogonal bases of Vlk’s, we take a basis of W˜k, so that we have an isomorphismW˜k W →w=vect(W)∈R1+qk,where thefirstcomponentw1 ofw isassumedtobe xkk. Letus introducea linearmapφk :ZV→Sym(1+qk,R)definedinsuchawaythat: (WtW|ξ)= twφk(ξ)w (ξ∈ZV, W∈W˜k,w=vect(W)∈R1+qk). (8) It iseasy tosee thatφr(ξ)= ξrr forξ∈ZV. Theorem1. Thedual conePāˆ—V āŠ‚ZV ofPVwithrespect to the standard innerproduct isdescribedas: Pāˆ—V={ξ∈ZV ; φk(ξ) ispositivedefinite for all k=1,. . . ,r} ={ξ∈ZV ; detφk(ξ)>0 for all k=1,. . . ,r} . (9) Proof. Weshallprove thestatementby inductionontherank r.When r=1,wehaveφ1(ξ)= ξ11 and ξ= ξ11In1. Thus, (9)holds in thiscase. Letusassumethat (9)holdswhentherank issmaller than r. Inparticular, thestatementholds for Pāˆ—V′ āŠ‚ZV′, that is, Pāˆ—V′= { ξ′ ∈ZV′ ; φ′k(ξ′) ispositivedefinite forallk=1,. . . ,rāˆ’1 } = { ξ′ ∈ZV′ ; detφ′k(ξ′)>0 forallk=1,. . . ,rāˆ’1 } , whereφ′k isdefinedsimilarly to (8) forZV′.Ontheotherhand, if: ξ= ( ξ11In1 tV V ξ′ ) (ξ11∈R,V∈W, ξ′ ∈ZV′), (10) weobserve that: φk(ξ)=φ ′ kāˆ’1(ξ ′) (k=2,. . . ,r). Therefore, inorder toprove(9) forPāˆ—V ofrank r, it suffices toshowthat: Pāˆ—V= { ξ∈ZV ; ξ′ ∈Pāˆ—V′ andφ1(ξ) ispositivedefinite } = { ξ∈ZV ; ξ′ ∈Pāˆ—V′ and detφ1(ξ)>0 } . (11) Ifq1=0, thenanyelementξ∈ZV isof the form: ξ= ( ξ11In1 ξ′ ) , whichbelongs toPV if andonly ifξ′ ∈PV′ andφ1(ξ)= ξ11>0, so that (11)holds. 238
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Differential Geometrical Theory of Statistics
Title
Differential Geometrical Theory of Statistics
Authors
FrƩdƩric 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