Probability theory
Slow convergence in generalized central limit theorems
[Convergence lente dans les théorèmes centraux limites généralisés]
Comptes Rendus. Mathématique, Tome 356 (2018) no. 6, pp. 679-685.

Nous étudions le théorème central limite dans le domaine d'attraction non normal, vers des limites symétriques et α-stables, 0<α2. Nous montrons que, pour les suites Xi i.i.d., les taux de convergence en L des densités et des distributions de inXi/(n1/αL(n)) sont au plus logarithmiques si L est une fonction non triviale de variation lente. Plusieurs lois physiques asymptotiques sont basées sur la convergence des suites i=1nXi/nlogn vers des distributions gaussiennes. Nos résultats montrent que ces lois ne sont précises que pour n d'une grandeur exponentielle.

We study the central limit theorem in the non-normal domain of attraction to symmetric α-stable laws for 0<α2. We show that for i.i.d. random variables Xi, the convergence rate in L of both the densities and distributions of inXi/(n1/αL(n)) is at best logarithmic if L is a non-trivial slowly varying function. Asymptotic laws for several physical processes have been derived using convergence of i=1nXi/nlogn to Gaussian distributions. Our result implies that such asymptotic laws are accurate only for exponentially large n.

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Accepté le :
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DOI : 10.1016/j.crma.2018.04.013
Börgers, Christoph 1 ; Greengard, Claude 2

1 Department of Mathematics, Tufts University, Medford, MA, 02155, United States
2 Courant Institute of Mathematical Sciences, New York University and Foss Hill Partners, P.O. Box 938, Chappaqua, NY 10514, United States
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Börgers, Christoph; Greengard, Claude. Slow convergence in generalized central limit theorems. Comptes Rendus. Mathématique, Tome 356 (2018) no. 6, pp. 679-685. doi : 10.1016/j.crma.2018.04.013. http://www.numdam.org/articles/10.1016/j.crma.2018.04.013/

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