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On a multi-dimensional Poissonian pair correlation concept and uniform distribution
AuthorStockinger, Wolfgang ; Hinrichs, Aicke ; Kaltenböck, Lisa ; Larcher, Gerhard ; Ullrich, Mario
Published in
Monatshefte für Mathematik, 2019,
PublishedSpringer Vienna, 2019
Document typeJournal Article
Keywords (EN)Uniform distribution / Pair correlation of sequences / Additive energy
URNurn:nbn:at:at-ubl:3-1922 Persistent Identifier (URN)
 The work is publicly available
On a multi-dimensional Poissonian pair correlation concept and uniform distribution [0.34 mb]
Abstract (English)

The aim of the present article is to introduce a concept which allows to generalise the notion of Poissonian pair correlation, a second-order equidistribution property, to higher dimensions. Roughly speaking, in the one-dimensional setting, the pair correlation statistics measures the distribution of spacings between sequence elements in the unit interval at distances of order of the mean spacing 1 / N. In the d-dimensional case, of course, the order of the mean spacing is 1/N1d , andin our conceptthe distance of sequence elements will be measured by the supremum-norm. Additionally, we show that, in some sense, almost all sequences satisfy this new concept and we examine the link to uniform distribution. The metrical pair correlation theory is investigated and it is proven that a class of typical low-discrepancy sequences in the high-dimensional unit cube do not have Poissonian pair correlations, which fits the existing results in the one-dimensional case.

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