Some Connections Between Discrepancy, Finite Gap Properties, and Pair Correlations
Christian Wei{\ss}

TL;DR
This paper explores the relationship between discrepancy, finite gap properties, and pair correlations in sequences, extending known results and establishing new links, especially for low-discrepancy sequences and their correlation properties.
Contribution
It generalizes bounds on discrepancy for sequences with alpha-pair correlations, and proves that low-discrepancy sequences have alpha-pair correlations, linking finite gap properties to pair correlation behavior.
Findings
Generalized discrepancy bounds for alpha-pair correlations.
Proved low-discrepancy sequences have alpha-pair correlations.
Re-established finite gap property implications for van der Corput and Kronecker sequences.
Abstract
A generic uniformly distributed sequence in possesses Poissonian pair correlations (PPC). Vice versa, it has been proven that a sequence with PPC is uniformly distributed. Grepstad and Larcher gave an explicit upper bound for the discrepancy of a sequence given that it has PPC. As a first result, we generalize here their result to the case of -pair correlations with . Since the highest possible level of uniformity is achieved by low-discrepancy sequences it is tempting to assume that there are examples of such sequences which also have PPC. Although there are no such known examples, we prove that every low-discrepancy sequence has at least -pair correlations for . According to Larcher and Stockinger, the reason why many known classes of low-discrepancy sequences fail to have PPC is their finite gap…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Approximation and Integration
