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Entropy2016,18, 433
mayberewrittenas theexact sequence
O→H2dR(M)→H2τ(A,R)→RF(M).
Let (M,∇)bea locallyflatmanifoldwhoseKValgebra isdenotedbyA. Everyfinite family in
H2τ(A,R) isa familyof∇-geodesicRiemannianfoliations.
TheredoesnotexistanycriteriontoknowwhetheramanifoldsupportsRiemannianfoliations.
Theexactcohomologysequenceswehavebeenperformingprovideuswithacohomologicalmethod
forconstructingRiemannianfoliations in thecategoryof locallyflatmanifolds. This isan impactof the
theoryofKVhomologyonDTO.
In thenextsectionwewill introduceothernewingredientswhichhighlight the impactsonDTO
of the informationgeometry.
Further we will see that those new machineries from the information geometry have a
homologicalnature.
Anothermajorproblemsinthedifferentialtopologyisthelinearizationofwebs.Amongreferences
are [41–43].
Definition22. Consider afinite family of distributionsDj⊂TM, j := 1,2,...,k. Thosedistributions are in
generalpositionatapointx∈Mif for everysubset J⊂{1,2,...,k}onehas
dim(∑
j∈J Dj(x))=min {
dim(M),∑
j∈J dim(Dj(x)) }
.
Definition23. Ak-web inMisa familyof completely integrabledistributionswhichare ingeneralposition
everywhere inM.
AComment.
The distributions belonging to a web may have different dimensions. An example of problem is the
symplectic linearizationof lagrangian2-webs.
Let (Dj, j :=1,2)bea lagrangian2-web ina2n-dimensional symplecticmanifold (M,ω). Thechallenge
is the searchof special localDarbouxcoordinate functions
(x,y)=(x1,...,xn,y1,...,yn).
Those functionsmusthave threeproperties
(1):ω(x,y)=Σjdxj∧dyj;(2) : The leavesofD1 aredefinedbyx= constant; (3): The leavesofD2 aredefined
byy= constant.
Definition24. Anaffineweb inanaffinespace is awebwhose leavesareaffine subspaces.
Definition25. Aweb inam-dimensionalmanifold is linearizable if it is locallydiffeomorphic toanaffineweb
inam-dimensional affine space.
Example 1. In the symplecticmanifold (R2,exydx∧dy) one considers the lagrangian 2-webwhich
isdefinedby
L1={(x,y)|x= constant} ,
L2={(x,y)|y= constant} .
This lagrangian2-webisnotsymplectic linearizable.
Example 2. Wekeep (L1,L2) as in example.1. It is symplectic linearizable in (R2,(ex+ey)dx∧dy).
Thelinearizationproblemforlagrangian2-websiscloselyrelatedtothelocallyflatgeometry[10,44,45].
167
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