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Entropy2016,18, 425
where [uαi ] is the inverseof [u i
α]andWij= δαβuαi u β
j . DefinenowW kl= δαβukαulβ, so thatW irWrj= δij
andWirWrj= δ j
i.Wecanthenwrite themetricgFMdirectlyas
gFM(ξhDh+ξhγD hγ)=WihξhDi, (11)
because 〈w,gFM(ξ)〉= 〈
w,WjhξhDj 〉
= WijwiWjhξh = wiξi = ξhDh(wjDj) = ξ(w). One clearly
recognizes thedependenceon thehorizontalH∗FMpart ofT∗FMonly, and the fact that gFM has
image inHFM. Thesub-Riemannianenergyofanalmosteverywherehorizontalpathut is
lFM(ut)= ∫
gFM(u˙t, u˙t)dt;
i.e., the lineelement isds2=WijDiDj inadaptedcoordinates. Thecorrespondingdistance isgivenby
dFM(u1,u2)= inf{lFM(γ) |γ(0)=u1,γ(1)=u2}.
Ifwewish toexpressgFM incanonical coordinatesonT∗FM,wecanswitchbetweentheadapted
frameandthecoordinates (xi,uiα,ξi,ξiα). From(11),gFMhasD,D∗ components
DgFM,D∗= [
W−1 0
0 0 ]
.
Therefore,gFMhas the followingcomponents in thecoordinates (xi,uiα,ξh,ξhγ)
(∂xi,∂uiα )gFM,(∂x,∂uiα) ∗= (∂xi,∂uiα )ADDgFM,D∗ D∗A(∂xi,∂uiα) ∗= [
W−1 −W−1ΓT
−ΓW−1 ΓW−1ΓT ]
orgijFM=W ij, g ijβ
FM=−WihΓ jβ
h , g iαj
FM=−ΓiαhWhj, andg iαjβ
FM=Γ iα
kW khΓ jβ
h .
3.2. CovarianceandNonholonomicity
The metric gFM encodes the anisotropic weighting given the frame u, thus up to an affine
transformationmeasuringtheenergyofhorizontalpathsequivalentlytothenegativelog-probabilityof
samplepathsofEuclideananisotropicdiffusionsas formallygiven in (4). Inaddition, therequirement
thatpathsmust stayhorizontal almost everywhereenforces thatC(u˙t) = 0a.e., i.e., thatno change
of the covariance ismeasured by the connection. The intuitive effect is that covariance is covariantly
constantas seenby theconnection. Globally, curvatureofCwill imply that thecovariancechanges
whentransportedalongclosedloops,and torsionwill implythat thebasepoint“slips”whentravelling
alongcovariantly closed loopsonM. However, thezeroacceleration requirement implies that the
covariance isasclose tospatiallyconstantaspossiblewith thegivenconnection. This isenabledbythe
parallel transportof the frame,anditensures that themodelcloselyresembles theEuclideancasewith
spatiallyconstantstochasticgenerator.
With non-zero curvature of C, the horizontal distribution is non-integrable (i.e., the brackets
[Hi,Hj]arenon-zeroforsome i, j). Thisprevents integrabilityof thehorizontaldistributionHFM in
thesenseof theFrobenius theorem. In thiscase, thehorizontal constraint isnonholonomicsimilarly to
nonholonomicconstraintsappearingingeometricmechanics(e.g., [24]). Therequirementofcovariantly
constantcovariance thusresults inanonholonomicsystem.
3.3. RiemannianMetrics onFM
If the horizontality constraint is relaxed, a relatedRiemannianmetric on FM can bedefined
bypulling back ametric on gl(n) to eachfiber using the isomorphism ψ(u, ·)−1 : VuFM → gl(n).
411
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