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Convergence in total variation on Wiener chaos
Nourdin I., Poly G.
http://hal.archives-ouvertes.fr/hal-00696499
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Mathematics/Probability
Convergence in total variation on Wiener chaos
Ivan Nourdin (, http://www.proba.jussieu.fr/pageperso/nourdin) 1, Guillaume Poly () 2
1:  Institut Élie Cartan Nancy (IECN)
CNRS : UMR7502 – Université de Lorraine
Boulevard des Aiguillettes BP 239 54506 VANDOEUVRE LES NANCY CEDEX
France
2:  Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA)
http://umr-math.univ-mlv.fr/
Université Paris-Est Marne-la-Vallée (UPEMLV) – Université Paris-Est Créteil Val-de-Marne (UPEC) – CNRS : UMR8050 – Fédération de Recherche Bézout
Université de Paris-Est - Marne-la-Vallée, Cité Descartes, Bâtiment Copernic, 5 bd Descartes, 77454 Marne-la-Vallée Cedex 2, Lab Anal & Math Appl, Equipe Anal & Math Appl
France
Let {F_n} be a sequence of random variables belonging to a finite sum of Wiener chaoses. Assume further that it converges in distribution towards F_infinity satisfying P(F_infinity=0)<1. Our first result is a sequential version of a theorem by Shigekawa. More precisely, we prove that the sequence {F_n} actually converges in total variation and that the law of F_infinity is absolutely continuous. In a second part, we assume that each F_n has more specifically the form of a multiple Wiener-Itô integral (of a fixed order) and that it converges in L^2 towards F_infinity. We then give an upper bound for the distance in total variation between the laws of F_n and F_infinity. As such, we recover an inequality due to Davydov and Martynova; our rate is a bit weaker compared to them, but the advantage is that our proof is not only sketched. Finally, in a third part we show that the convergence in the celebrated Peccati-Tudor theorem actually holds in the total variation topology.
English

Convergence in law – Convergence in total variation – Malliavin calculus – multiple Wiener-Itô integral – Wiener chaos.
23 pages

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