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Entropy2016,18, 383
inducedsubgraphofG. ThegraphG is said tobechordalordecomposable ifGcontainsnocycleof
lengthgreater than threeasan inducedsubgraph,andsaid tobeA4-free ifG containsnoA4 graph
•−•−•−• as an induced subgraph. Let bea total order on thevertex setVG, and for i∈VG,
putV[i]G := { j∈VG ; i∼ jand i j}⊂VG. Then, is said tobeaneliminatingorderon thegraph
G if the inducedsubgraphwiththevertexsetV[i]G is complete foreach i∈VG. It isknownthat there
existsaneliminatingorderonG if andonly if thegraphG is chordal.
Letus identify thevertex setVG with{1,2,. . . ,r}. LetZG be the spaceof symmetricmatrices
x= (xij) ∈ Sym(r,R), such that, if i = j and i ∼ j, then xij = 0. DefinePG :=ZG∩Pr. We can
show([11] (Theorem2.2), [26]) that theconePG ishomogeneous ifandonly if thegraphG is chordal
and A4-free. On the other hand, it is known in the graphicalmodel theory aswell as the sparse
matrix linearalgebra thateventhoughPG isnothomogeneous,various formulasstillhold forPG ifG
is chordal.
TheconePG isexpressedasPVwithn1=n2= ···=nr=1and:
Vji= {
R (j∼ i),
{0} (j ∼ i).
Then, the condition (V2)means exactly that the order≤ is an eliminating order onG. Therefore,
anyconePGwithchordalGcanbe treatedasPV inour framework.Mostof the integral formulas for
PG in [11,27] canbededucedfromTheorems3and4,while theWishartdistribution isacentralobject
in the theoryofgraphicalmodel. In [28], theanalysis forgeneralizedpower functionsassociatedwith
all eliminatingorders isdiscussedforaspecificgraphAn :•−•−···−•bydirect computations.
Acknowledgments: Theauthorwould like toexpresssinceregratitudetoPiotrGraczykandYoshihikoKonno
forstimulatingdiscussionsabout this subject.He isalsograteful toFrédéricBarbaresco forhis interest inand
encouragementof thiswork.Hethanks toanonymousreferees forvaluablecomments,whichwerehelpful for
the improvementof thepresentpaper. ThisworkwassupportedbyJSPSKAKENHIGrantNumber16K05174.
Conflictsof Interest:Theauthorsdeclarenoconflictof interest.
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249
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