Léonard Gallardo
François Rabelais University
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Featured researches published by Léonard Gallardo.
Advances in Pure and Applied Mathematics | 2010
Léonard Gallardo; Khalifa Trimèche
Abstract This paper is devoted to the study of the differential-difference Jacobi–Cherednik operator defined for f ∈ C 1 (𝕣) by T (k,k′) f(x) = f′(x) + (k coth(x) + k′ tanh(x))(f(x) – f(–x)) – (k + k′) f(–x), where k > 0 and k′ ≥ 0 are two parameters, and to the positivity of the operator which intertwines T (k,k′) and the derivative operator .
Annals of Probability | 2006
Léonard Gallardo; Marc Yor
Dunkl processes are martingales as well as cadlag homogeneous Markov processes taking values in R d and they are naturally associated with a root system. In this paper we study the jumps of these processes, we describe precisely their martingale decompositions into continuous and purely discontinuous parts and we obtain a Wiener chaos decomposition of the corresponding L 2 spaces of these processes in terms of adequate mixed multiple stochastic integrals.
Journal of The Australian Mathematical Society | 2004
Léonard Gallardo; Khalifa Trimèche
In this paper, we give a generalization of Hardys theorems for the Dunkl transform ℱ D on ℝ d . More precisely for all a > 0, b > 0 and p, q ∈ [1, + ∞], we determine the measurable functions f on ℝ d such that where are the Lebesgue spaces associated with the Dunkl transform.
Comptes Rendus Mathematique | 2002
Léonard Gallardo; Khalifa Trimèche
In this Note we give a generalization of Hardys theorem for the Dunkl transform FD on Rd. More precisely, for all a>0, b>0 and p,q∈[1,+∞], we determine the measurable functions f such that ea||x||2f∈Lkp(Rd) and eb||y||2FD(f)∈Lkq(Rd), where Lkp(Rd) are the Lp spaces associated with the Dunkl transform. To cite this article: L. Gallardo, K. Trimeche, C. R. Acad. Sci. Paris, Ser. I 334 (2002) 849–854.
Stochastics and Stochastics Reports | 2002
Léonard Gallardo
Random walks on a product hypergroup of classical one-dimensional hypergroups are d -dimensional Markov chains which have a conditional increment with an asymptotically constant covariance matrix. We use this property and a central limit theorem for martingale differences, to show that such random walks suitably normalized converge to a standard Gaussian law N (0, o ) in R d with a covariance matrix o which is explicitly determined.
Comptes Rendus De L Academie Des Sciences Serie I-mathematique | 1997
Léonard Gallardo; Khalifa Trimèche
We consider a class ℳ of singular differential operators on the half line and ⋆ the convolution on ℝ+. associated with L e ℳ. If μ(≠ ɛ0) is a probability measure on ℝ+, we study the asymptotic behaviour of the solution of both Poisson equations Lu = −ƒ and (μ. − ɛ0) ⋆ u = −ƒ where ƒ e Ck(ℝ+) is given. The results follow from a more general study on the precise asymptotic behaviour of the Green kernel of the convolution semigroups associated with L.
Probability Theory and Related Fields | 1983
Léonard Gallardo
SummaryLet β(t) be a brownian motion on a nilpotent simply connected Lie group
Proceedings of the American Mathematical Society | 1999
Léonard Gallardo
Advances in Pure and Applied Mathematics | 2018
Léonard Gallardo; Chaabane Rejeb; Mohamed Sifi
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International Journal of Open Problems in Complex Analysis | 2014
Frej Chouchene; Léonard Gallardo; Khalifa Trimèche