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Entropy2016,18, 433
Warning.
Throughout thispaperaRiemannianmetric tensor inamanifoldMisanon-degenerate symmetricbilinear
forminM.
Apositivemetric tensor is apositivedefinitemetric tensor.
In thenextweuse the followingdefinitionofRiemannian foliationandsymplectic foliation.
Definition19. ARiemannian foliation is anelementg∈S2(M)whichhas the followingproperties
(1.1) rank(g)= constant,
(1.2) LXg = 0 ∀X ∈ Γ(Ker(g)). A symplectic foliation is a ( de Rham) closed differential 2-form ω
whichsatisfies
(2.1) rank(ω)= constant,
(2.2) LXω=0 ∀X∈Γ(Ker(ω)).
Warning.
When g is positive semi-definite our definition is equivalent to the classical definition of Riemannian
foliation [38–40].
The complete integrability of Ker(g) and the conditions to be satisfied by the holonomy of leaves are
equivalent to theProperty (2.2).
The set ofRiemannian foliations inamanifoldMisdenotedbyRF(M).The last theoremaboveyields the
inclusionmap
H2τ(A,R)
H2dR(M) ⊂RF(M).
Weoftenuse thenotionof affine coordinates functions ina locallyflatmanifold. Fornonspecialistswe
recall twodefinitionsand the linkbetween them.
Definition20. Anm-dimensional affinelyflatmanifold is anm-dimensional smoothmanifoldMadmitting
a complete atlas {
(Uj,φj) }
whose local coordinate changes coincidewith affine transformations of the affine
spaceRm.
Wedenotedanaffineatlasby
A= {
(Uj,φj) }
.
Definition21. Anaffinely flat structure (M,A) and a locally flat structure (M,∇) are compatible if local
coordinate functionsof (M,A)are solutions to theHessianequation
∇2xj=O
Theorem 5. For every positive integer m the relation to be compatible with a locally flat manifold is an
equivalencebetweenthecategoryofm-dimensional affinelyflatmanifoldsandthecategoryofm-dimensional
locallyflatmanifolds.
4.2. TheGeneralLinearizationProblemofWebs
In the frameworkRF(M) the inclusion
H2τ(A,R)
H2dR(M) ⊂RF(M)
166
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