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Entropy2016,9, 337 effect in the limit,whilegatheringdominatesathighbandwidths. For theair trafïŹcapplication,a rule of the thumbis to take2–3-times theseparationnormasaneffectivesupport for thekernel.Usingan adaptivebandwidthmaybeofsomeinterestalso: startingwithmediumtohighvalues favorscurve gathering; then,graduallyreducing itwill straightenthe trajectories. Usingthescaledarclength in theentropygivesanequivalent,butsomewhateasier to interpret result. Startingwith theexpression(7) that takes in thiscase the form: d˜: x →∑ N i=1 li ∫1 0 K(‖x−γi(η)‖)dη ∑Ni=1 li . (21) Let i ∈ {1,. . . ,N} be ïŹxed. An admissible variation of the curve Îłi is a smooth mapping from ]−a,a[×[0,1] toRq,with a>0satisfyingthe followingproperties: (a) ∀η∈ [0,1],φ(0,η)=Îłi(η). (b) ∀(t,η)∈]−a,a[×]0,1[,‖∂ηφ(t,η)‖= lφ(t)with lφ(t) the lengthof thecurveη →φ(t,η). (c) ∀t∈]−a,a[,φ(t,0)=Îłi(0), φ(t,1)=Îłi(1). Takingthederivativewithrespect to tatzeroofEquation(b)yields:〈 ∂t∂ηφ(0,η),∂ηφ(0,η) âŒȘ = ∂tlφ(0)li. LettingT(η)betheunit tangentvector toÎłi atηandnotingthat∂ηφ(0,η)= liT(η), itbecomes:〈 ∂t∂ηφ(0,η),T(η) âŒȘ = ∂tlφ(t). (22) Thisrelationputsaconstraintonthevariationof thetangentialcomponentof thecurvederivative andshowsthat ithas tobeconstant inη. Proposition4. LetDbe themapping from ]−a,a[×Rq toR+ deïŹnedby: D: (t,x) →∑ N j=1,j =i lj ∫1 0 K (‖x−γj(η)‖)dη+∫10 K(‖x−φ(t,η)‖)dη ∑Nj=1 lj . whereη refers collectively to the scaledarclengthparameter for eachcurve. Thepartialderivative∂tD(0,x) is givenby: ∂tD(0,x)= li ∑Nj=1 lj ∫ 1 0 〈 Îłi(η)−x ‖γi(η)−x‖,∂tφ(0,η) âŒȘ Kâ€Č(‖γi(η)−x‖)dη. Theproof is straightforwardand isomitted. FromProposition4, thevariationof the entropy isderived: ∂tE=− ∫ Rq li ∑Nj=1 lj ∫ 1 0 〈 Îłi(η)−x ‖γi(η)−x‖,∂tφ(0,η) âŒȘ Kâ€Č(‖γi(η)−x‖)dηdx. (23) This relation is equivalent to (18): it can be seen by splitting the terms into a normal and atangential component. TheïŹrstoneyields: − ∫ Rq li ∑Nj=1 lj ∫ 1 0 〈( Îłi(η)−x ‖γi(η)−x‖ ) N ,(∂tφ(0,η))N âŒȘ Kâ€Č(‖γi(η)−x‖)dηdx. 397
zurĂŒck 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
Kategorien
Naturwissenschaften Physik
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Differential Geometrical Theory of Statistics