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Differential Geometrical Theory of Statistics
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Entropy2016,18, 433 then there exists auniqueÎłUU∗ ∈Γ such that [ÎłUU∗ ·Ί](e)=Ω∗(e) ∀e∈EU∩U∗. Comments.Requirements (3) and (4)meanthat [ΊU(e),φU(π(e)]= [[ΞU(e),ΟU(e)],ΞU(e)] Bothrequirements (4) and (5)yield the followingremarks: the followingaction isdifferentiable Γ×M (Îł,x)→γ ·x∈M, the followingaction is anafïŹneaction Γ×Rm (Îł,Ξ)→ γ˜ ·Ξ, both the left sidememberand the right sidememberof (5)have the followingmeaning. ÎłUU∗ · [ΞU(e),ΟU(e)]= [ΞU∗(e),ΟU∗(e)]. Consequently (5) implies that for all x∈U∩U∗ onehas γ˜UU∗ ·φ(x)=φ∗(x). Thereforeweget ÎłUU∗=φ ∗◊φ−1. Suppose thatU,U∗ andU∗∗ aredomainsof local chartwith U∩U∗∩U∗∗ =∅ then ÎłU∗U∗∗ ◩γUU∗=ÎłUU∗∗. Therequirement (3)means that theïŹbrationπ isΓequivariant. TheFigure2expresses therequirementproperty (3). E E MM Îł Îł π π Figure2.Fibration. Werecall that thegroupΓacts inbothE andM. Figure2expresses that theprojectionπofE on M isΓ-equivariant. 205
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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
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Differential Geometrical Theory of Statistics