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Entropy2016,18, 425 Note that the introductionof theRiemannianmetricgR implies thatWij arenowdependenton themanifoldcoordinatesxi. 6.NumericalExperiments Weaimat visualizingmost probable paths for thedrivingprocess andprojections of curves satisfying the MPP Equation (13) in two cases: On 2D surfaces embedded inR3 and on ïŹnite dimensional landmarkmanifoldsthatarise fromequippingasubsetof thediffeomorphismgroupwith aright-invariantmetricandlettingtheactiondescendto the landmarksbya leftaction. Thesurface examples are implemented in Python using the Theano [30] framework for symbolic operations, automatic differentiation, andnumerical evaluation. The landmark equations are detailed below and implemented inNumpyusingNumpy’s standardODEintegrators. Thecode for running the experiments isavailableathttp://bitbucket.com/stefansommer/mpps/. 6.1. EmbeddedSurfaces WevisualizenormalMPPsandprojectionsofcurvessatisfyingtheMPPEquation(13)onsurfaces embeddedinR3 inthreecases: ThesphereS2,onanellipsoid,andonahyperbolicsurface. Thesurfaces are chosen in order to have bothpositive andnegative curvature, and to have varyingdegree of symmetry. In all cases, an open subset of the surfaces are represented in a single chart by amap F : R2 → R3. For the sphere and ellipsoid, this gives a representation of the surface, except for thesouthpole. ThemetricandChristoffel symbolsarecalculatedusingthesymbolicdifferentiation featuresofTheano. The integrationareperformedbyasimpleEuler integrator. Figures4–6showfamiliesofcurvessatisfyingtheMPPequations in threecases: (1)WithïŹxed startingpointx0∈Mandinitialvelocity x˙0∈TMbutvaryinganisotropyrepresentedbychanging frameu in theïŹberabove x0; (2)minimizingnormalMPPswithïŹxedstartingpoint andendpoint x0,x1∈Mbutchanging frameuabovex0; (3)ïŹxedstartingpointx0∈Mandframeubutvarying V∗FMverticalpartof the initialmomentum Ο0∈T∗FM. TheïŹrst andsecondcases thusshowthe effectofvaryinganisotropy,while the thirdcase illustrates theeffectof the“twist” that thed2 degrees in theverticalmomentumallows.Note thedisplayedanti-developedcurves inR2 that forclassicalC geodesicswouldalwaysbestraight lines. (a) (b) (c) Figure4.CurvessatisfyingtheMPPequations (toprow)andcorrespondinganti-development (bottom row) on three surfaces embedded inR3: (a) An ellipsoid; (b) a sphere; (c) a hyperbolic surface. The familyofcurves isgeneratedbyrotatingbyπ/2radians theanisotropiccovariancerepresented in the initial frameu0 anddisplayedin thegrayellipse. 416
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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
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