Page - 395 - in Differential Geometrical Theory of Statistics
Image of the Page - 395 -
Text of the Page - 395 -
Entropy2016,9, 337
andasecondonecomingfromthe lengthofγj in thedenominator. This last termisobtainedfromthe
usualfirstordervariationformulaofacurve
length:∫
[0,1] ∥∥∥γ′j(t)+
′(t)∥∥∥dt=∫
[0,1] ∥∥∥γ′j(t)∥∥∥dt+∫
[0,1] 〈 γ′j(t)
‖γ′j(t)‖ , ′(t) 〉
dt+o(‖ ‖2).
Usinganintegrationbyparts, thefirstorder termcanbewrittenas:
∫
[0,1] 〈 γ′j(t)
‖γ′j(t)‖ , ′(t) 〉
dt=
− ∫
[0,1] 〈( γ′′j (t)
‖γ′j(t)‖ )
N , (t) 〉
dt (16)
with: ( γ′′j (t)
‖γ′j(t)‖ )
N = γ′′j (t)
‖γ′j(t)‖ − γ′j(t)
‖γ′j(t)‖ 〈 γ′j(t)
‖γ′j(t)‖ , γ′′j (t)
‖γ′j(t)‖ 〉
thenormalcomponentof:
γ′′j (t)
‖γ′j(t)‖ .
Pleasenote thatwhendealingwithplanarcurves (i.e.,withvalues inR2), it isκj(t)Nj(t)withκj
(resp.Nj) thecurvature (resp. theunitnormalvector)ofγj.
The integral in (15) canbeexpanded inasimilar fashion. Usingasabove thenotation ()N for
normalcomponents, thefirstorder termisobtainedas:
∫
[0,1] 〈(
γj(t)−x
‖γj(t)−x‖ )
N , (t) 〉
K′ (‖γj(t)−x‖)‖γ′j(t)‖dt
− ∫
[0,1] 〈( γ′′j (t)
‖γ′j(t)‖ )
N , (t) 〉
K (‖γj(t)−x‖)dt. (17)
Fromtheexpressions in (16)and(17), thefirstordervariationof theentropyis:
1
∑Ni=1 li (∫
[0,1] 〈∫
Ω (
γj(t)−x
‖γj(t)−x‖ )
N K′ (‖γj(t)−x‖) log(d˜(x))dx, (t) 〉
‖γ′j(t)‖dt
− ∫
[0,1] (∫
Ω K (‖γj(t)−x‖) log(d˜(x))dx) 〈( γ′′j (t)
‖γ′j(t)‖ )
N , (t) 〉
dt
+ (∫
Ω d˜(x) log(d˜(x))dx )∫
[0,1] 〈( γ′′j (t)
‖γ′j(t)‖ )
N , (t) 〉
dt )
. (18)
395
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