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Entropy2016,18, 407 Notall functionsĻ•:R→ (0,āˆž), 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 Ļ•(u)= { e(u+1) 2/2, u≄0, e(u+1/2), u≤0, (3) which clearly is convex, and satisfies the limits limuā†’āˆ’āˆžĻ•(u) = 0 and limuā†’āˆžĻ•(u) =āˆž. Given any measurable functionu0: T→ (0,āˆž), wewill find ameasurable function c: T→Rwith ∫ T Ļ•(c)dμ<āˆž, forwhichexpression (2) isnot satisfied. For eachm≄1,wedefine vm(t) := ( m log(2) u0(t) āˆ’ u0(t) 2 āˆ’1 ) 1Em(t), whereEm={t∈T :mlog(2)u0(t) āˆ’ u0(t) 2 āˆ’1>0}. Becausevm ā†‘āˆž,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 AkāŠ†Emnk forwhich ∫ Ak e(wk+u0+1) 2/2dμ=1. Letusdefine c= c1T\A+āˆ‘āˆžk=1wk1Ak,whereA= ā‹ƒāˆž k=1Ak andc is anymeasurable functionsuch that Ļ•(c(t))>0 for t∈T\Aand∫T\A Ļ•(c)dμ<āˆž. 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 Ļ•(c)dμ= ∫ T\A Ļ•(c)dμ+ āˆž āˆ‘ k=1 ∫ Ak e(wk+1) 2/2dμ = ∫ T\A Ļ•(c)dμ+ āˆž āˆ‘ k=1 1 2mnk <āˆž. Ontheotherhand,∫ T Ļ•(c+u0)dμ= ∫ T\A Ļ•(c)dμ+ āˆž āˆ‘ k=1 ∫ Ak e(u0+wk+1) 2/2dμ = ∫ T\A Ļ•(c)dμ+ āˆž āˆ‘ k=1 1=āˆž, whichshows that (2) isnot satisfied. 274
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Differential Geometrical Theory of Statistics
Title
Differential Geometrical Theory of Statistics
Authors
FrƩdƩric 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