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DYADIC SHIFT RANDOMIZATION IN CLASSICAL DISCREPANCY THEORY

Part of: Extremal combinatorics Other (nonclassical) types of functional analysis Combinatorial probability Miscellaneous applications of functional analysis

Published online by Cambridge University Press:  06 May 2015

M. M. Skriganov
M. M. Skriganov*
Affiliation:
St. Petersburg Department of Steklov Institute of Mathematics, Fontanka 27, St. Petersburg 191023, Russia email maksim88138813@mail.ru
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Abstract

Dyadic shifts $D\oplus T$ of point distributions $D$ in the $d$-dimensional unit cube $U^{d}$ are considered as a form of randomization. Explicit formulas for the $L_{q}$-discrepancies of such randomized distributions are given in the paper in terms of Rademacher functions. Relying on the statistical independence of Rademacher functions, Khinchin’s inequalities, and other related results, we obtain very sharp upper and lower bounds for the mean $L_{q}$-discrepancies, $0<q\leqslant \infty$. The upper bounds imply directly a generalization of the well-known Chen theorem on mean discrepancies with respect to dyadic shifts (Theorem 2.1). From the lower bounds, it follows that for an arbitrary $N$-point distribution $D_{N}$ and any exponent $0<q\leqslant 1$, there exist dyadic shifts $D_{N}\oplus T$ such that the $L_{q}$-discrepancy ${\mathcal{L}}_{q}[D_{N}\oplus T]>c_{d,q}(\log N)^{(1/2)(d-1)}$ (Theorem 2.2). The lower bounds for the $L_{\infty }$-discrepancy are also considered in the paper. It is shown that for an arbitrary $N$-point distribution $D_{N}$, there exist dyadic shifts $D_{N}\oplus T$ such that ${\mathcal{L}}_{\infty }[D_{N}\oplus T]>c_{d}(\log N)^{(1/2)d}$ (Theorem 2.3).

MSC classification

Primary: 05D99: None of the above, but in this section 46N99: None of the above, but in this section
Secondary: 46S99: None of the above, but in this section 60C99: None of the above, but in this section

Information

Type
Research Article
Information
Mathematika , Volume 62 , Issue 1 , 2016 , pp. 183 - 209
Copyright
Copyright © University College London 2015 

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