Seite - 248 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 383
Then, thesetHV of lower triangularmatricesTof the form:
T= ââââââ T11
T21 T22
... ...
Tr1 Tr2 . . . Trr ââââââ
becomes a linear Lie group, andHV acts on the spaceZV by Ï(T)x := TxtT (T â HV, x â ZV).
ThegroupHV actsontheconePV simplytransitivelybythisactionÏ, so thatPV isahomogeneous
cone.Moreover, it is shownin[15] thateveryhomogeneouscone is linearly isomorphic tosuchPV
(seealso [18]).
LetV0={V0lk}1â€k<lâ€3 be thesystemgivenbyV021={0}andV0lk=R ((l,k) =(2,1)). Then:
ZV0 = â§âȘâšâȘâ© âââx1 0
x40
x2 x5
x4 x5 x3 âââ ; x1,. . . ,x5âR â«âȘâŹâȘâ ,
andPV0 :=ZV0â©P3 ishomogeneousbecause (V1)â(V3)aresatisïŹedin thiscase.Ontheotherhand,
letV1={V1lk}1â€k<lâ€3 be thesystemgivenbyV131={0}andV1lk=R ((l,k) =(3,1)). Then:
ZV1 = â§âȘâšâȘâ© âââx1 x4
0x4
x2 x5
0 x5 x3 âââ ; x1,. . . ,x5âR â«âȘâŹâȘâ .
Note thatV1 satisïŹesonly(V1)and(V2),butPV1 ishomogeneousbecausePV1 is isomorphic to the
homogeneousconePV0 via themap:
PV1 âââx1 x4
0x4
x2 x5
0 x5 x3 âââ â âââ1 0
00
0 1
0 1 0
âââ âââx1 x4
0x4
x2 x5
0 x5 x3 âââ âââ1 0
00
0 1
0 1 0
âââ = âââx1 0
x40
x3 x5
x4 x5 x2 âââ âPV0.
Thisexample tellsus thatourmatrix realizationofaconvexcone isnotuniqueandthat thecondition
(V3) ismerelyasufïŹcientconditionfor thehomogeneityof thecone.
Many ideas in this work are inspired by the theory of homogeneous cones. The notion
of generalized power functions, as well as the Î-type integral formulas are due to Gindikin [8]
(seealso [23]). TheWishartdistributions forhomogeneousconesarestudied in [17,21,24,25].
7.2. ConesAssociatedwithChordalGraphs
Ifn1=n2= ···=nr=1, thenVlkequalseitherRor{0}. Inthiscase,ZV is thespaceofsymmetric
matriceswithprescribedzerocomponents. Suchaspace isdescribedbyusinganundirectedgraphin
thegraphicalmodel theory.
Letus recall somenotion in thegraphtheory. LetGbeagraphandVG thesetofverticesofG.
WeassumethatGhasnomultipleedge, that is, foranytwovertices i, jâVG, either there isoneedge
connecting themor there isnoedgebetweenthem.Theserelationsof thevertices iand jaredenoted
by i⌠jand i ⌠j, respectively.Assumefurther thatGhasnoloop,whichmeans that i ⌠i for iâVG.
WedeïŹnetheedgesetEGâVGĂVGby:
EG :={(i, j)âVGĂVG ; i⌠j} .
SinceVG andEGhaveallof the informationofG, thegraphG isoften identiïŹedwith thepair (VG,EG).
For a non-empty subsetVâČ ofVG, putEâČ := EGâ©(VâČĂVâČ). The graphGâČ := (VâČ,EâČ) is called an
248
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