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DISCREPANCY OF SECOND ORDER DIGITAL SEQUENCES IN FUNCTION SPACES WITH DOMINATING MIXED SMOOTHNESS

Published online by Cambridge University Press:  29 November 2017

Josef Dick
Affiliation:
School of Mathematics and Statistics, The University of New South Wales, Sydney NSW 2052, Australia email josef.dick@unsw.edu.au
Aicke Hinrichs
Affiliation:
Institut für Funktionalanalysis, Johannes Kepler Universität Linz, Altenbergerstraße 69, 4040 Linz, Austria email aicke.hinrichs@jku.at
Lev Markhasin
Affiliation:
Institut für Stochastik uand Anwendungen, Universität Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany email lev.markhasin@mathematik.uni-stuttgart.de
Friedrich Pillichshammer
Affiliation:
Institut für Finanzmathematik und angewandte Zahlentheorie, Johannes Kepler Universität Linz, Altenbergerstraße 69, 4040 Linz, Austria email friedrich.pillichshammer@jku.at
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Abstract

The discrepancy function measures the deviation of the empirical distribution of a point set in $[0,1]^{d}$ from the uniform distribution. In this paper, we study the classical discrepancy function with respect to the bounded mean oscillation and exponential Orlicz norms, as well as Sobolev, Besov and Triebel–Lizorkin norms with dominating mixed smoothness. We give sharp bounds for the discrepancy function under such norms with respect to infinite sequences.

Type
Research Article
Copyright
Copyright © University College London 2017 

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