High-dimensional limit theorems for random vectors in lpn-balls

被引:24
|
作者
Kabluchko, Zakhar [1 ]
Prochno, Joscha [2 ]
Thaele, Christoph [3 ]
机构
[1] Westfalische Wilhelms Univ Munster, Inst Math Stochast, Orleans Ring 10, D-48149 Munster, Germany
[2] Univ Hull, Sch Math & Phys Sci, Cottingham Rd, Kingston Upon Hull HU6 7RX, N Humberside, England
[3] Ruhr Univ Bochum, Fac Math, Univ Str 150, D-44780 Bochum, Germany
关键词
Asymptotic geometric analysis; central limit theorem; extreme value distribution; high dimensions; large deviation principle; l(p)-ball; multivariate central limit theorem; non-central limit theorem;
D O I
10.1142/S0219199717500924
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we prove a multivariate central limit theorem for l(p)-norms of highdimensional random vectors that are chosen uniformly at random in an l(p)-ball. As a consequence, we provide several applications on the intersections of l(p)(n)-balls in the flavor of Schechtman and Schmuckenschlager and obtain a central limit theorem for the length of a projection of an l(p)(n)-ball onto a line spanned by a random direction theta is an element of Sn-1. The latter generalizes results obtained for the cube by Paouris, Pivovarov and Zinn and by Kabluchko, Litvak and Zaporozhets. Moreover, we complement our central limit theorems by providing a complete description of the large deviation behavior, which covers fluctuations far beyond the Gaussian scale. In the regime 1 ( )<= p < q this displays in speed and rate function deviations of the q-norm on an l(p)(n)-ball obtained by Schechtman and Zinn, but we obtain explicit constants.
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页数:30
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