2018
DOI: 10.1515/udt-2018-0004
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Metrical Star Discrepancy Bounds for Lacunary Subsequences of Digital Kronecker-Sequences and Polynomial Tractability

Abstract: The star discrepancy D * N (P) is a quantitative measure for the irregularity of distribution of a finite point set P 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 N ≥ 2 there are point sets P in [0, 1) d with |P| = N and D * N (P) = O((log N ) d−1 /N ). However, for small N compared to the dimension d this asymptotically excellent bound is useless (e.g. for N ≤ e d−1 ).In 2001 it has been shown by Hei… Show more

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Cited by 3 publications
(2 citation statements)
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“…Note that the result holds for all N ≥ 2 simultaneously. One gets rid of this log N -term when one considers only finite sequences as in Theorem 6; see [69,Theorem 3]. Furthermore, we remark that Theorem 7 corresponds to a result for classical Kronecker sequences which has been proved by Löbbe [63].…”
Section: Intermediate Norms Of the Local Discrepancy Functionmentioning
confidence: 73%
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“…Note that the result holds for all N ≥ 2 simultaneously. One gets rid of this log N -term when one considers only finite sequences as in Theorem 6; see [69,Theorem 3]. Furthermore, we remark that Theorem 7 corresponds to a result for classical Kronecker sequences which has been proved by Löbbe [63].…”
Section: Intermediate Norms Of the Local Discrepancy Functionmentioning
confidence: 73%
“…, f s ; see, e.g., [56,71]. Neumüller and Pillichshammer [69] studied a subsequence of digital Kronecker sequences. For f ∈ F b ((t −1 )) s consider S(f ) = (y n ) n≥0 where…”
Section: Intermediate Norms Of the Local Discrepancy Functionmentioning
confidence: 99%