Page - 281 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 407
Proposition2. Inaϕ-familyFp, thegeneralizationofRényidivergence forα∈ (−1,1) canbe expressed in
termsof thenormalizing functionψas follows:
D(α)ϕ (pθ ‖ pϑ)= 21+αψ(θ)+ 2
1−αψ(ϑ)− 4
1−α2ψ (1−α
2 θ+ 1+α
2 ϑ )
, (29)
for allθ,ϑ∈Θ.
Proof. Recall thedefinitionofκ(α)as therealnumber
forwhich∫
T ϕ (1−α
2 ϕ−1(pθ)+ 1+α
2 ϕ−1(pϑ)+κ(α)u0 )
dμ=1.
Usingexpression(28) forprobabilitydistributions inFp,wecanwrite
1−α
2 ϕ−1(pθ)+ 1+α
2 ϕ−1(pϑ)+κ(α)u0
= c+ n
∑
i=1 (1−α
2 θi+ 1+α
2 ϑi )
ui− (1−α
2 ψ(θ)+ 1+α
2 ψ(ϑ)−κ(α) )
u0
= c+ n
∑
i=1 (1−α
2 θi+ 1+α
2 ϑi )
ui−ψ (1−α
2 θ+ 1+α
2 ϑ )
u0.
The lastequality isaconsequenceof thedomainΘbeingconvex. Thus, it followsthat
κ(α)= 1−α
2 ψ(θ)+ 1+α
2 ψ(ϑ)−ψ (1−α
2 θ+ 1+α
2 ϑ )
.
By thedefinitionofD(α)ϕ (· ‖ ·),weget (29).
Proposition3. Ina ϕ-familyFp, the ϕ-divergence is related to thenormalizing functionψby the equality
Dϕ(pθ ‖ pϑ)=ψ(ϑ)−ψ(θ)−∇ψ(θ) ·(ϑ−θ), (30)
for allθ,ϑ∈Θ.
Proof. Toshow(30),weuse
∂ψ
∂θi (θ)= ∫
Tuiϕ
′(ϕ−1(pθ))dμ∫
Tu0ϕ ′(ϕ−1(pθ))dμ ,
which isaconsequenceof (Lemma10 in[12]). Inviewof (ϕ−1)′(u)=1/ϕ′(ϕ−1(u)), expression(13)
with p= pθ andq= pϑ results in
Dϕ(pθ ‖ pϑ)= ∫
T[ϕ −1(pθ)−ϕ−1(pϑ)]ϕ′(ϕ−1(pθ))dμ∫
Tu0ϕ ′(ϕ−1(pθ))dμ . (31)
Inserting into (31) thedifference
ϕ−1(pθ)−ϕ−1(pϑ)= (
c+ n
∑
i=1 θiui−ψ(θ)u0 )
− (
c+ n
∑
i=1 ϑiui−ψ(ϑ)u0 )
=ψ(ϑ)u0−ψ(θ)u0− n
∑
i=1 (ϑi−θi)ui,
wegetexpression(30).
281
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