Poissonian Pair Correlation and Discrepancy
Stefan Steinerberger

TL;DR
This paper investigates how local pair correlation properties of sequences on the torus relate to their global distribution regularity, establishing bounds and connections with discrepancy and exponential sums.
Contribution
It demonstrates that partial Poissonian pair correlation implies global discrepancy bounds and links distribution properties to pair correlation deviations.
Findings
Local pair correlation controls global discrepancy.
Discrepancy bounds derived from partial Poissonian behavior.
Connection established between pair correlation, discrepancy, and exponential sums.
Abstract
A sequence on the torus is said to exhibit Poissonian pair correlation if the local gaps behave like the gaps of a Poisson random variable, i.e. We show that being close to Poissonian pair correlation for few values of is enough to deduce global regularity statements: if, for some~, a set of points satisfies then the discrepancy of the set satisfies . We also show that distribution properties are…
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.
