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Entropy2016,18, 383
Then, thesetHV of lower triangularmatricesTof the form:
T= ⎛⎜⎜⎜⎜⎝ T11
T21 T22
... ...
Tr1 Tr2 . . . Trr ⎞⎟⎟⎟⎟⎠
becomes a linear Lie group, andHV acts on the spaceZV by ρ(T)x := TxtT (T ∈ HV, x ∈ ZV).
ThegroupHV actsontheconePV simplytransitivelybythisactionρ, so thatPV isahomogeneous
cone.Moreover, it is shownin[15] thateveryhomogeneouscone is linearly isomorphic tosuchPV
(seealso [18]).
LetV0={V0lk}1≤k<l≤3 be thesystemgivenbyV021={0}andV0lk=R ((l,k) =(2,1)). Then:
ZV0 = ⎧⎪⎨⎪⎩ ⎛⎜⎝x1 0
x40
x2 x5
x4 x5 x3 ⎞⎟⎠ ; x1,. . . ,x5∈R ⎫⎪⎬⎪⎭ ,
andPV0 :=ZV0∩P3 ishomogeneousbecause (V1)–(V3)aresatisfiedin thiscase.Ontheotherhand,
letV1={V1lk}1≤k<l≤3 be thesystemgivenbyV131={0}andV1lk=R ((l,k) =(3,1)). Then:
ZV1 = ⎧⎪⎨⎪⎩ ⎛⎜⎝x1 x4
0x4
x2 x5
0 x5 x3 ⎞⎟⎠ ; x1,. . . ,x5∈R ⎫⎪⎬⎪⎭ .
Note thatV1 satisfiesonly(V1)and(V2),butPV1 ishomogeneousbecausePV1 is isomorphic to the
homogeneousconePV0 via themap:
PV1 ⎛⎜⎝x1 x4
0x4
x2 x5
0 x5 x3 ⎞⎟⎠ → ⎛⎜⎝1 0
00
0 1
0 1 0
⎞⎟⎠ ⎛⎜⎝x1 x4
0x4
x2 x5
0 x5 x3 ⎞⎟⎠ ⎛⎜⎝1 0
00
0 1
0 1 0
⎞⎟⎠= ⎛⎜⎝x1 0
x40
x3 x5
x4 x5 x2 ⎞⎟⎠∈PV0.
Thisexample tellsus thatourmatrix realizationofaconvexcone isnotuniqueandthat thecondition
(V3) ismerelyasufficientconditionfor 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 Γ-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, j∈VG, either there isoneedge
connecting themor there isnoedgebetweenthem.Theserelationsof thevertices iand jaredenoted
by i∼ jand i ∼ j, respectively.Assumefurther thatGhasnoloop,whichmeans that i ∼ i for i∈VG.
WedefinetheedgesetEG⊂VG×VGby:
EG :={(i, j)∈VG×VG ; i∼ j} .
SinceVG andEGhaveallof the informationofG, thegraphG isoften identifiedwith thepair (VG,EG).
For a non-empty subsetV′ ofVG, putE′ := EG∩(V′×V′). The graphG′ := (V′,E′) 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