BMO and exponential Orlicz space estimates of the discrepancy function in arbitrary dimension
Functional Analysis
2015-07-10 v2 Combinatorics
Numerical Analysis
Abstract
In the current paper we obtain discrepancy estimates in exponential Orlicz and BMO spaces in arbitrary dimension . In particular, we use dyadic harmonic analysis to prove that for the so-called digital nets of order the BMO and norms of the discrepancy function are bounded above by . The latter bound has been recently conjectured in several papers and is consistent with the best known low-discrepancy constructions. Such estimates play an important role as an intermediate step between the well-understood bounds and the notorious open problem of finding the precise asymptotics of the discrepancy function in higher dimensions, which is still elusive.
Cite
@article{arxiv.1411.5794,
title = {BMO and exponential Orlicz space estimates of the discrepancy function in arbitrary dimension},
author = {Dmitriy Bilyk and Lev Markhasin},
journal= {arXiv preprint arXiv:1411.5794},
year = {2015}
}