Seite - 398 - in Differential Geometrical Theory of Statistics
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Entropy2016,9, 337
For the tangentialpart, thestartingpoint is therelation:
∂η (K(‖φ(0,η)−x‖)T(η))=liK′(‖φ(0,η)−x‖) 〈 φ(0,η)−x
‖φ(0,η)−x‖,T(η) 〉
T(η)
+K(‖φ(0,η)−x‖)∂ηT(η). (24)
where thesubscriptT stands for tangential component. Itbecomes:
li
∑Nj=1 lj ∫ 1
0 〈( γi(η)−x
‖γi(η)−x‖ )
T ,(∂tφ(0,η))T 〉
K′(‖γi(η)−x‖)dηdx=
li
∑Nj=1 lj ∫ 1
0 〈
∂η (K(‖φ(0,η)−x‖)T(η)) ,(φ(0,η))T 〉
dηdx
− li
∑Nj=1 lj ∫ 1
0 〈 K(‖φ(0,η)−x‖)∂ηT(η),(φ(0,η))T 〉
dηdx. (25)
Withan integrationbyparts, thefirst integral in theright-handsidebecomes:
− li
∑Nj=1 lj ∫ 1
0 〈 K(‖φ(0,η)−x‖)T(η),∂η (∂tφ(0,η))T 〉
dηdx=
− li
∑Nj=1 lj ∫ 1
0 K(‖φ(0,η)−x‖)∂tlφ(0)dηdx. (26)
Gatheringterms, theexpression(18) is recovered.Asexpected,onlythenormalcomponentsenter
therelation,but ithas tobenotedthat the tangential componentof∂tφ(0,η) isnotarbitraryandcan
bededucedfrom(22). Thegradientwithrespect to the i-thcurve isobtainedfromtheexpressionof
theentropyvariationandcanbewritten in its simplest formas:
li
∑Nj=1 lj ∫
Rq ∫ 1
0 γi(η)−x
‖γi(η)−x‖K ′(‖γi(η)−x‖)dη log d˜(x)dx. (27)
where d˜ is the estimatedspatialdensity. Onemustkeep inmind the constrainton ∂tφ(0,η) that is
hiddenwithin theapparentsimplicityof theexpression.
3.Numerical Implementation
Thetwoformulations(19)and(27)of thegradientmaybeused. Thefirstoneismorecomplicated,
butdoesnot requireanyadditional constraint tobe taken intoaccount. Thesecondonecannotbe
appliedreadilyas thetangentialcomponentmustcomplywithRelation(22). Inbothcases, it isneeded
toevaluateaspatial integral,whichmayyieldtoprohibitivecomputational time,especially inhigh
dimensions. In theair trafficapplication,onlyplanar3Dcurvesareconsidered,greatlysimplifyingthe
problem.Nevertheless, theperformanceof thealgorithmsisstill aconcern,andthechoicemadewas
toreplace thespatial integralbyadiscretesumoveranevenly-spacedgrid. Fromnow, it isassumed
thatall curvesareplanar, so that theambientspace for thespatialdensity d˜ isR2.Goingbackto the
expressionof d˜givenby(7), afirst step is toreplace the integralover tbyadiscretesum. Inpractice,
curves aredescribedbya sequence of sampledpointsγi(tij)where the sampling times tij will be
assumedtobe identical forall curves. Thisassumption isnotsatisfied in theair trafficapplication, so
thatapre-processingstepmustbe takenbefore theactualentropyminimizationstage. Itwillnotbe
describedhere, asanystandard interpolationprocedurecanbeappliedwithnegligibledifferences
onthefinal result. Toobtain theresultspresentedhere,acubicsplinesmootherwasused. Since the
samplingtimesareassumedtobethesameforall trajectories, thedoublesubscriptwillbedropped,
so that thesamplesoneach trajectorywillbedenotedasγij=γi(tj). It is furtherassumedthat the
398
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