Page - 213 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
Topursueweuse thecompatibilityof local chartsof theatlas[Uj,Φj×φ,,γij,Pj] . If
Ui∩Uj =∅
thenforall e∈EUi∩Uj wehave
Φj(e)=γij ·Φi(e),
φj(π(e))=γij ·φi(π(e)).
Werecall that ψ˜(t)and ψ˜(s)aredefinedby
ψ˜j(t)=φjψX(t)φ−1j ,
ψ˜j(s)=φjψY(s)φ−1j .
Thoseremindersareuseful forconcludingthatwhenever
Ui∩Uj =∅
wehave
EntiX,Y(s,t)(π(e))=Ent j
X,Y(s,t)(π(e)).
So the localentropyflowdoesnotdependonlocal charts.
IfbothXandYarecompletevectorfields thentheirentropyflowisgloballydefined.Anotable
consequence is the followingstatement.
Theorem18. EveryMSE-fibrationoveracompactmanifoldMadmitsagloballydefinedentropymap
X(M)×X(M) (X,Y)→EntX,Y∈C∞(R2).
8.4.2. TheFisher Informationas theHessianof theLocalEntropyFlow
weconsider the function
Hj(s,t,ξ)=Pj[ψ˜X(s)(φ(e))]log[Pj[ψ˜j(t)(Φj(e))]].
Direct calculationsyield
[ ∂2(Hj(s,t))
∂s∂t ][(s,t)=(0,0)]=Pj[φj(e)](X · log[Pj(Φj(e))])(Y · log[Pj(φj(e))]).
Weknowthat ∂ 2
∂s∂t commuteswith ∫
Ξ. Therbyweconcludethat
gπ(e)(X,Y)= ∂2Entj(s,t)(π(e))
∂s∂t [(s,t)=(0,0)].
Theorem19. WeconsideranMSE-firationoveracompactmanifold
M :=[E,p]→ [M,D].
TheFisher informationofM is theHessianof the entropymap.
8.4.3. TheAmari-ChentsovConnections inGM(Ξ,Ω)
Let
M=[E,π,M,D,p]
213
Differential Geometrical Theory of Statistics
- Title
- Differential Geometrical Theory of Statistics
- Authors
- Frédéric 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