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Entropy2016,18, 433 WefocusonFE(∇∇∗)andofFE∗∗(∇). Theyareequivalent to the followingsystemofpartial differentialequations [Sij:k] : ∂ψkj ∂xi − ∑ 1≀ ≀m (Γij: ψk −Γ∗i :kψ j)=0, [Θkij(X)] : ∂2Xk ∂xi∂xj +∑ α [Γkiα ∂Xα ∂xj +Γkjα ∂Xα ∂xi −Γα ij∂Xk∂xα ]+∑ α [ ∂Γkjα ∂xi +∑ ÎČ [ΓÎČjαΓ k iÎČ−ΓÎČijΓkÎČα]]Xα=0. InPartAweaddressthelinksbetweenthefollowingtopicsDTO,HGE,IGEandENT.Thosetopics arepresentedasverticesofasquarewhosecentre isdenotedbyKVH. (1) DTOstands forDifferentialTOpology. InDTO,FWEstands forFoliationsandWEbs. (2) HGE stands for Hessian GEometry. Its sources are the geometry of bounded domains, the topology of bounded domains, the analysis in bounded domains. Among the notable references are [1–3]. Hessiangeometryhas signiïŹcant impacts on thermodynamics, see [4,5], About the impactsonotherrelatedtopics thereadersarereferredto [6–12]. (3) IGEstands for InformationGEometry. That is thegeometryofstatisticalmodels.Moregenerally its concern is thedifferential geometryof statisticalmanifolds. The rangeof the information geometry is large [13].Currently, the interest in informationgeometry is increasing. Thiscomes fromthe linkswithmanymajorresearchdomains [14–16].WeaddresssomesigniïŹcantaspects of those links.Non-specialist readersarereferredtosomefundamental referencessuchas [17,18]. Seealso[4,19–23]. Theinformationgeometryalsoprovidesaunifyingapproachtomanyproblems indifferentialgeometry,see[21,24,25]. Theinformationgeometryhasalargescopeofapplications, e.g.,physics, chemistry,biologyandïŹnance. (4) ENTstands forENTropy. Thenotionofentropyappears inmanymathematical topics, inPhysics, in thermodynamics and inmechanics. Recent interest in the entropy functionarises from its topological nature [14]. In Part B we introduce the entropy ïŹ‚ow of a pair of vector ïŹelds. TheFisher information is thendeïŹnedas theHessianof theentropyïŹ‚ow. (5) KVHstandsforKVHomology. ThetheoryofKVhomologywasdevelopedin[9]. Themotivation was the conjectureofM.Gerstenhaber in the categoryof locallyïŹ‚atmanifolds. In thispaper weemphasize othernotable rolesplayedby the theoryofKVhomology. It is alsouseful for discussingaproblemraisedbyJohnMilnor in [26]. TheconjectureofGerstenhaber is the followingclaim. Everyrestricted theoryofdeformationgenerates itsproper cohomology theory [27]. Looselyspeaking, inarestrictedtheoryofdeformationonehas thenotionofboth inïŹnitesimal deformationand trivialdeformation. Thechallenge is the search for a cochain complexadmitting inïŹnitesimaldeformationsascocycles. In thepresentpaper,KVH isuseful foremphasizingthe links betweentheverticesDTO,HGE, IGEandENT. That isourreasonfordevotingasectiontoKVH. Warning. Wepropose tooverviewthe structureof thispaper. The readers are advised to read thispaperas through it wereawanderaroundthevertices of the square“DTO-HGE-IGE-ENT”.Thus,dependingonhis interests and his concernsareader couldwalk several timesacross the samevertex. For instance the informationgeometry appears inmanysections,dependingonthepurposeandontheaims. 1.3. Thecontentof thePaper Thispaper isdividedintoPartAandPartB. PartA:Sections1–7. Section1 is the Introduction. Section2 isdevotedtoalgebroids,modulesofalgebroidsandthe theoryofKVhomologyof theKoszul-Vinbergalgebroids. To introduce theKVcohomologywehave 143
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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
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