Seite - 274 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 407
Notall functionsϕ:R→ (0,∞), forwhichconditions (a1)and(a2)hold, satisfycondition(a3).
Suchafunction isgivenbelow.
Example2. Assumethat theunderlyingmeasureμ isσ-finite andnon-atomic. This is the case of theLebesgue
measure. Letusconsider the function
ϕ(u)= {
e(u+1) 2/2, u≥0,
e(u+1/2), u≤0, (3)
which clearly is convex, and satisfies the limits limu→−∞ϕ(u) = 0 and limu→∞ϕ(u) =∞. Given any
measurable functionu0: T→ (0,∞), wewill find ameasurable function c: T→Rwith ∫
T ϕ(c)dμ<∞,
forwhichexpression (2) isnot satisfied.
For eachm≥1,wedefine
vm(t) := (
m log(2)
u0(t) − u0(t)
2 −1 )
1Em(t),
whereEm={t∈T :mlog(2)u0(t) − u0(t)
2 −1>0}. Becausevm ↑∞,wecanfindasub-sequence{vmn} such
that∫
Emn e(vmn+u0+1) 2/2dμ≥2n.
According to (Lemma8.3 in [29]) , there exists a sub-sequencewk = vmnk and pairwise disjoint sets
Ak⊆Emnk forwhich ∫
Ak e(wk+u0+1) 2/2dμ=1.
Letusdefine c= c1T\A+∑∞k=1wk1Ak,whereA= ⋃∞
k=1Ak andc is anymeasurable functionsuch that
ϕ(c(t))>0 for t∈T\Aand∫T\A ϕ(c)dμ<∞. Observing that
e(wk(t)+u0(t)+1) 2/2=2mnke(wk(t)+1) 2/2, for t∈Ak,
weget ∫
Ak e(wk+1) 2/2dμ= 1
2mnk , for everym≥1.
Then,wecanwrite ∫
T ϕ(c)dμ= ∫
T\A ϕ(c)dμ+ ∞
∑
k=1 ∫
Ak e(wk+1) 2/2dμ
= ∫
T\A ϕ(c)dμ+ ∞
∑
k=1 1
2mnk <∞.
Ontheotherhand,∫
T ϕ(c+u0)dμ= ∫
T\A ϕ(c)dμ+ ∞
∑
k=1 ∫
Ak e(u0+wk+1) 2/2dμ
= ∫
T\A ϕ(c)dμ+ ∞
∑
k=1 1=∞,
whichshows that (2) isnot satisfied.
274
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
- Naturwissenschaften Physik