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Entropy2016,18, 433 Weuse thesedata forconstructingtwocochaincomplexes. Theyaredenotedby (C∗KV,dKV)and by (C∗τ,dτ) respectively. TheunderlyinggradedvectorspacesaredeïŹnedby CKV= J(V)⊕∑ q>0 Cq(B,V), Cτ=V⊕∑ q>0 Cq(B,V). TheircoboundaryoperatorsaredeïŹnedby (dKVv)(s)=−s ·v, (dτw)(s)=−sw, dKV(f)= q ∑ 1 (−1)jdj(f) if q>0, dτ(f)= q+1 ∑ 1 (−1)jdj(f) if q>0. Thesimplicial formula (5a)yields the identities d2KV=0, d2τ=0. Thecohomologyspace HKV(B,V)=∑ q HqKV(B,V) is calledtheV-valuedKVcohomologyofB. Thecohomologyspace Hτ(B,V)=∑ q Hqτ(B,V) is calledtheV-valuedtotalKVcohomologyofB. ThealgebraA isa two-sidedidealof theKValgebraB.Mutatismutandisourconstructiongives thecohomologyspacesHKV(A,V)andHτ(A,V). TheyarecalledtheV-valuedKVcohomologyand theV-valuedtotalKVcohomologyofA. Comments. Thoughthe spectral sequencesarenot thepurposeof thispaperwerecall that thepair (A⊂B)gives rise toa spectral sequencesEijr [32–34]. The termE ij 0 isnothingother thanHKV(A,V) [29]. Inotherwordsonehas HqKV(A,V)= ∑ 0≀j≀q Ej,q−j0 . 3.2.7. ResidualCohomology Beforepursuingweintroduce thenotionof residualcohomology. Itwillbeused in thesectionbe devotedthehomological statisticalmodels. ThemachinerywearegoingtointroduceissimilartothemachineryofEilenberg[35]. Inparticular we introduce the residual cohomology. Our construction leads to an exact cohomology sequence which links theresidualcohomologywith theequivariantcohomology.Werestrict theattention to the categoryof leftmodulesofKValgebroids.Wekeepourpreviousnotation. 156
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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
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Differential Geometrical Theory of Statistics