Seite - 217 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
(4) thecategoryF(LC,BF)whoseobjectsare functors
GM→BF.
Definition60. TheHessian functor is the functor
GM M=[E,π,M,D,p]→ qM∈F(LC,BL)
HereqM isdefinedby
qM[∇]=∇2log(p).
Reminder.
Werecall that forvectorfieldsX,Ythebilinear formqM[∇](X,Y) isdefinedby
qM[∇](X,Y)=X ·(Y · log(p))−∇XY · log(p)
ThefunctorqM is calledtheHessianfunctorof themodel
M=[E,π,M,D,p].
Ouraimistodemonstratethefollowingclaim.UptoisomorphismastatisticalmodelM isdefined
byitsHessianfunctorqM. The functorqM isansignificantcontributionto the informationgeometry.
We fix an object ofFB(Γ,Ξ), namely [E,π,M,D]. LetP(E) be the convex set of probability
densities in [E,π,M,D]. Themultiplicativegroupofpositive real valued functionsdefined inΞ is
denotedbyRΞ+. ThequotientofP(E)moduloRΞ+ isdenotedby
PRO(E)=P(E)
RΞ+ .
Lemma6. Forevery p∈P(E) the imageof
M=[E,p],
namelyqMdependsonlyon the class [p]∈PRO(E)
Proof. Weconsider
M=[E,π,M,D,p],
M
∗=[E,π,M,D,p∗].
Weassumethat
qM= qM∗.
Thus inevery local trivializationΘU×Ξonehas the identity
X(Ylog( p∗(x,ξ)
p(x,ξ) )−∇XYlog(p ∗(x,ξ)
p(x,ξ) ))=0
forallX,Y∈Γ(TΘ), forall∇∈LC(Θ). That identityholds ifandonly if the function
(x,ξ)→ p ∗(x,ξ)
p(x,ξ)
belongs toRΞ+. Thisends the idea.
217
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
- Kategorien
- Naturwissenschaften Physik