Central limit theorem for specular points
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1 Colloquium IFUM Dec 2009 IMT,ESP,University of Toulouse joint work with Mario Wschebor and Jose Léon
2
3 Specular points Jean-Marc Azaı s
4 Specular points Jean-Marc Azaı s
5 Specular points
6 The cylindric model Time is fixed and we consider one space variable only : x. A source of light is placed at position (0, h 1 ) The observer located at position (0, h 1 ) may see the reflected light
7
8 Characterization of specular points The model for the elevation of the sea is a Gaussian stationary model W (x) with regular paths (Bounded spectrum) Reflexion rules imply that the point (x, W (x)) is a specular point if W (x) = α 2r 1 α 1 r 2 x(r 2 r 1 ) where α i := h i W (x) and r i := x 2 + αi 2, i = 1, 2. SP 1 (A), A Borel set. When h 1 and h 2 are big with respect to W (x) and x, the equation can be approximated as SP 2 (A), W (x) = x 2 h 1 + h 2 h 1 h 2 d = kx,
9
10 Rice formula Theorem (Azaïs-Wschebor, 2009 for example) Let X (t) a good process, N u number of crossings of the level u on I. E(N u ) = E ( X (t) X (t) = u ) p X (t) (u)dt I E(SP 2 (I )) = E ( W (x) k W (x) = kx) ) p W (x)(kx) dx I = G( k, 1 λ 4 ) ϕ( kx )dx, λ2 λ2 G(µ, σ) := E( Z ), Z with distribution N(µ, σ 2 ).
11 Over the whole line, we get E(SP 2 (R)) = G(k, λ 4 ), k This was known by Longuet-Higgins (1957).
12 Quality of the approximation E(SP 1 ) can be computed through a Rice formula(complicated result) Comparison with E(SP 1 ) depends on h 1, h 2, λ 4 and λ 2, and after scaling, we can assume λ 2 = 1. When h 1 h 2, the approximation is very sharp. For example h 1 = 90, h 2 = 110, λ 4 = 3, the results are and for the whole line.
13 Intensity of specular points in the case h 1 = 100, h 2 = 300, λ 4 = 3. In solid line the exact formula SP 1, in dashed line the approximation SP 2
14
15 The Rice formula can be used to compute Var(S) = E(S(S 1)) + E(S) [E(S)] 2 with S := SP 2 (R) and E(S(S 1)) = E ( W (x) k W (y) k W (x) = kx, W (y) = ky ) R 2 p W (x),w (y)(kx, ky) dxdy
16 Theorem Assume W (x) is δ dependent, and has C 4 -paths. Then, as k 0 we have: Var(S) = θ 1 k + O(1), θ = ( J 2 + J = +δ δ H and σ 2 (z) are some functions 2λ4 π 2δλ 4 π 3 λ 2 ), σ 2 (z)h ( ρ(z); 0, 0) ) 2π(λ2 + Γ (z)) dz.
17 This implies that the coefficient of variation of S Var(S) = O( k) as k 0. E(S) So a natural question is to study the normalized variable S E(S) Var(S)
18
19 Theorem Assume δ dependence + uniform born of order 4 moment of the number of specular points on a bounded interval. Then, as k 0, E ([ SP 2 ([a, a + 1]) ] 4) (const). 2λ 4 1 k S π N(0, 1), in distribution. θ/k
20 titleproof
21 The hatched part is peanuts. The other is a sum on independent random variables but that are not equidistributed. We used Lyapounov condition on the fourth moment. Set M m j := E{ [SP2 (U k j ) E ( SP 2 (U k j ) )] m }. we want where Σ 4 Mj 4 0 as k 0, j [k β ] Σ 2 := Mj 2. j [k β ] To prove it, we divide each interval U k j into p = [k α ] 1 intervals I 1,...I p of equal size δ. and we use the assumption.
22 Sufficient condition for having the fourth moment bounded - The paths x W (x) are of class C 11. (Use Theorem 3.6 of Azaïs Wschebor with m = 4, applied to the random process {W (x) : x R}). - The paths x W (x) are of class C 9 and the support of the spectral measure has an accumulation point: apply Ex.3.4, Proposition 5.10 and Th of Azaïs Wschebor to get that the fourth moment of the number of zeros of W (x) is bounded.
23 Generalizations The condition of δ-dependence can be replaced by some mixing condition at the cost of some heavier presentation. The studies on the first to moments has been generalized to two dimension specular points. Central Limit Theorem remains to be done.
24 References Azaïs, J-M. and Wschebor, M. (2009). Level sets and extrema of random processes and fields. Wiley. J-M. Azaïs, J. León and M. Wschebor, Some applications of Rice formulas to waves. ArXiv: v1 [math.pr] (2009) M. S. Longuet-Higgins, The statistical geometry of random surfaces, Proc. Symp. Appl. Math. Vol. XIII, AMS Providence R.I., (1962).
25 THANK-YOU
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