Metrical star discrepancy bounds for lacunary subsequences of digital Kronecker-sequences and polynomial tractability
Mario Neum\"uller, Friedrich Pillichshammer

TL;DR
This paper establishes new discrepancy bounds for lacunary subsequences of digital Kronecker sequences, improving understanding of their distribution properties and potential for quasi-Monte Carlo integration in high dimensions.
Contribution
It provides the first explicit discrepancy bounds for lacunary subsequences of digital Kronecker sequences, extending previous results from classical to digital sequences.
Findings
Discrepancy bounds of C √(d (log d)/N) for digital Kronecker sequences
Extension of lacunary subsequence discrepancy results to digital sequences
Improved understanding of distribution properties of digital sequences in high dimensions
Abstract
The star discrepancy is a quantitative measure for the irregularity of distribution of a finite point set in the multi-dimensional unit cube which is intimately related to the integration error of quasi-Monte Carlo algorithms. It is known that for every integer there are point sets in with and . However, for small compared to the dimension this asymptotically excellent bound is useless (e.g. for ). In 2001 it has been shown by Heinrich, Novak, Wasilkowski and Wo\'{z}niakowski that for every integer there exist point sets in with and . Although not optimal in an asymptotic sense in , this upper bound has a much better (and even optimal)…
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Taxonomy
TopicsMathematical Approximation and Integration · Analytic Number Theory Research · Digital Image Processing Techniques
