Poissonian Pair Correlation and Discrepancy
arXiv:1711.02497
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. $$ \lim_{N \rightarrow \infty}{ \frac{1}{N} \# \left\{ 1 \leq m \neq n \leq N: |x_m - x_n| \leq \frac{s}{N} \right\}} = 2s \qquad \mbox{almost surely.}$$ 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 $$ \frac{1}{N}\# \left\{ 1 \leq m \neq n \leq N: |x_m - x_n| \leq \frac{s}{N} \right\} \leq (1+δ)2s \qquad \mbox{for all} \hspace{6pt} 1 \leq s \leq (8/δ)\sqrt{\log{N}},$$ then the discrepancy of the set satisfies . We also show that distribution properties are reflected in the global deviation from the Poissonian pair correlation where the lower is bound is conditioned on . The proofs use a connection between exponential sums, the heat kernel on and spatial localization. Exponential sum estimates are obtained as a byproduct. We also describe a connection to diaphony and several open problems.