Page - 155 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
Let jandqbetwopositive integerssuchthat j< q.
Letξ= x1⊗x2...⊗xq.Todefinethe linearmap
dj :Cq(B,V)→Cq−1(B,V)
weput
dj(ξ⊗v)=X∗j ·(∂jξ⊗v).
Henceforthonedefines theboundaryoperator
d :Cq(B,V)→Cq−1(B,V)
bysetting
d= q
∑
1 (−1)jdj.
Soweobtainachaincomplexwhosehomologyspaceofdegreeq isdenotedbyHq(B,V).
Definition14. Thegradedvector space
H∗(B,V)=∑
q Hq(B,V)
is called the totalhomologyofBwithcoefficients inV.
3.2.6. TwoCochainComplexes
We are going to define two cochain complexes. They are denoted by CKV(B,V) and by
Cτ(B,V) respectively.
Werecall that thevectorsubspace J(V)⊂V isdefinedby
(s ·s∗) ·v−s ·(s∗·v)=0 ∀s s∗∈B.
Letusset
C0KV(B,V)= J(V),
C0τ(B,V)=V,
Cq(B,V)=HomR(Tq(B˜) ∀q≥1.
Let (j,q)beapairofnonnegative integerssuchthat j< q.Wearegoingtodefinethe linearmap
dj :Cq(B,V)→Cq+1(B,V).
Given f ∈Cq(B,V)and
ξ= x1⊗ ...⊗xq+1
weput
djf(ξ)=X∗j · f(∂jξ)− f(djξ).
The familyof linearmappingsdjhaspropertyS ·1,viz
djdi=didj−1 ∀i, j with i< j.
155
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