Page - 143 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
WefocusonFE(âââ)andofFEââ(â). Theyareequivalent to the followingsystemofpartial
differentialequations
[Sij:k] : âÏkj
âxi â â
1†â€m (Îij: Ïk âÎâi :kÏ j)=0,
[Îkij(X)] : â2Xk
âxiâxj +â
α [Îkiα âXα
âxj +Îkjα âXα
âxi âÎα
ijâXkâxα ]+â
α [ âÎkjα
âxi +â
β [ÎβjαΠk
iβâÎβijÎkβα]]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 [1â3]. Hessiangeometryhas signiï¬cant impacts on thermodynamics, see [4,5],
About the impactsonotherrelatedtopics thereadersarereferredto [6â12].
(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 [14â16].Weaddresssomesigniï¬cantaspects
of those links.Non-specialist readersarereferredtosomefundamental referencessuchas [17,18].
Seealso[4,19â23]. Theinformationgeometryalsoprovidesaunifyingapproachtomanyproblems
indifferentialgeometry,see[21,24,25]. Theinformationgeometryhasalargescopeofapplications,
e.g.,physics, chemistry,biologyandï¬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 ï¬ow of a pair of vector ï¬elds.
TheFisher information is thendeï¬nedas theHessianof theentropyï¬ow.
(5) KVHstandsforKVHomology. ThetheoryofKVhomologywasdevelopedin[9]. Themotivation
was the conjectureofM.Gerstenhaber in the categoryof locallyï¬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 inï¬nitesimal
deformationand trivialdeformation. Thechallenge is the search for a cochain complexadmitting
inï¬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 squareâDTO-HGE-IGE-ENTâ.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:Sections1â7.
Section1 is the Introduction. Section2 isdevotedtoalgebroids,modulesofalgebroidsandthe
theoryofKVhomologyof theKoszul-Vinbergalgebroids. To introduce theKVcohomologywehave
143
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