Seite - 171 - in Differential Geometrical Theory of Statistics
Bild der Seite - 171 -
Text der Seite - 171 -
Entropy2016,18, 433
isa2-webinM.
In (M∗,D∗,g∗)weobtainsimilar2-web
(Ker(ψ∗),im(ψ∗)).
By thechoiceofBandB∗wehave
rank(Ker(ψ))= rank(Ker(ψ∗))=m−s.
Nowweperformthefollowingarguments.
(a): The foliationB isD-geodesic. Inaneighbourhoodofeverypoint p0∈ (M,D)welinearizeB
bychoosingappropriate localaffinecoordinate functions
(x,y)=(x1,...,xm−s,y1,...,ys).
The leavesofKer(ψ)aredefinedby
y= constant.
Therebythose leavesare locally isomorphic toaffinesub-spaces.
Stepb
Thedistribution im(ψ) is D˜-geodesic. Therefore,near thesamepoint p0∈ (M,D˜)welinearize
im(ψbychoosingappropriate localaffinecoordiante functions
(x∗,y∗)=(x∗1,...,y ∗
1,...).
The leavesof im(ψ)aredefinedby
x∗= constant.
Thusnear p0 the foliationdefinedbym(ψ) is isomorphic toan linear foliation.
Stepc
Byboth step a and stepbwe choose aneighbourhoodof p0 which is thedomainof systems
of appropriate local coordinate functions (x,y) and (x∗,y∗). From those data we pick the local
coordinate functions
(x,y∗)=(x1,...,xm−s,y∗1,...,y ∗
s).
Sowelinearize the2-web (Ker(ψ),im(ψ))withthe local coordinate functions (x,y∗).
(Ker(ψ),im(ψ)).
Thusnear the p0 the 2-web (Ker(ψ),im(ψ)) is isomorphic to the linear 2-web (L1,L2)which is
definedinRmby
R
m=Rm−s×Rs.
Stepd
Atapointp∗0 inM∗weperformtheconstructionasinstepaandinstepsbandc, thenwelinearize
(Ker(ψ∗),im(ψ∗))bychoosingappropriate local coordinate functions
(x0,y0∗)=(x01,...,x 0
m−s,y0∗1 ,...,y
0∗
s ).
171
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