Bounds for the Average $L^p$-Extreme and the $L^\infty$-Extreme Discrepancy

Author:

Gnewuch Michael

Abstract

The extreme or unanchored discrepancy is the geometric discrepancy of point sets in the $d$-dimensional unit cube with respect to the set system of axis-parallel boxes. For $2\leq p < \infty$ we provide upper bounds for the average $L^p$-extreme discrepancy. With these bounds we are able to derive upper bounds for the inverse of the $L^\infty$-extreme discrepancy with optimal dependence on the dimension $d$ and explicitly given constants.

Publisher

The Electronic Journal of Combinatorics

Subject

Computational Theory and Mathematics,Geometry and Topology,Theoretical Computer Science,Applied Mathematics,Discrete Mathematics and Combinatorics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tractability properties of the discrepancy in Orlicz norms;Journal of Complexity;2020-12

2. On the discrepancy of jittered sampling;Journal of Complexity;2016-04

3. Calculation of Discrepancy Measures and Applications;A Panorama of Discrepancy Theory;2014

4. Asymptotic behavior of average Lp-discrepancies;Journal of Complexity;2012-08

5. Entropy, Randomization, Derandomization, and Discrepancy;Monte Carlo and Quasi-Monte Carlo Methods 2010;2012

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