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Differential Geometrical Theory of Statistics
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Entropy2016,18, 433 (3) Hom(T(A),V)stands for theZ-gradedvectorspace Hom(T(A),V)=⊕qHomR(A⊗q,V). LetADbe thecategoryof (abstract)algebrasand(abstract)moduleswhosestructuresaredeïŹned bythepair (AA,AAV). So therulesofcalculations in thecategoryAaredeïŹnedbythe identities AA(a,b,c)=0, AAV(a,b,v)=0. Thechallenge is thesearchofaparticular familyof linearmaps Hom(A⊗q,V) f→dq(f)∈Hom(A⊗q+1,V). Suchaparticular familydqmustsatisfyaconditionthatwecall thepropertyΔ. PropertyΔ ∀Ο= a1⊗a2...⊗aq+2∈Aq+2,∀f ∈Hom(A⊗q,V) thequantity [dq+1(dq(f))](Ο)depends linearlyon thevaluesof theanomaly functions { AA(ai,aj,ak), AAV(ai,aj,v) } Letusassumethata familydq isasolutiontoCH(D). ThenthecategoryADadmitsa theoryof cohomologywithcoefïŹcients inmodules. The next is devoted to this challenge in the category of KV algebras and KV modules. Thegeometryversion is thecategoryofKValgebroidsandKVmodulesofKValgebroids. 3.3.2.ChallengeCH(D) forKVAlgebras LetWbea two-sidedmoduleofanabstract algebraA. Weassumethat the followingbilinear mappingsarenontrivialapplications A×W (X,w)→X ·w∈W, W×A (w,X)→w ·X∈W. Let f ∈Hom(A⊗q,W).WeconsideramonomialΟ∈A⊗q+1, so Ο=X1⊗ ...⊗Xq+1∈A⊗q+1. Ourconstruction isdividedintomanySTEPS. Step1. Let (i< j)beapairofpositive integerswith1≀ i< j≀ q. The linear themap S[i,j](f)∈Hom(Aq+1,V). S[ij] isdeïŹnedby S[i,j](f)(X1⊗ ...⊗Xq+1)=(−1)j[Xj · f(X1⊗ ...⊗Xi⊗ ...Xˆj⊗Xj+1...⊗Xq+1) +(f(X1⊗ ...⊗Xi⊗ ...Xˆj⊗ ... ˆXq+1⊗Xj) ·Xq+1 −ω(f)f(X1⊗ ...⊗Xj ·Xi⊗ ...Xˆj⊗ ...⊗Xq+1)] 159
zurĂŒck zum  Buch Differential Geometrical Theory of Statistics"
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
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Differential Geometrical Theory of Statistics