Inhomogenous random zero sets

TL;DR

This paper constructs and analyzes inhomogeneous random zero sets in the complex plane, showing they closely approximate a given measure with low variance, and establishes their probabilistic and statistical properties.

Contribution

It introduces two methods for constructing random zero sets that approximate a doubling measure, extending previous results to more general measures.

Findings

Zero sets are close to the target measure on average

Variance of zero set distribution is significantly less than Poisson process

Asymptotic normality of linear statistics under regularity conditions

Abstract

We construct random point processes in the complex plane that are asymptotically close to a given doubling measure. The processes we construct are the zero sets of random entire functions that are constructed through generalised Fock spaces. We offer two alternative constructions, one via bases for these spaces and another via frames, and we show that for both constructions the average distribution of the zero set is close to the given doubling measure, and that the variance is much less than the variance of the corresponding Poisson point process. We prove some asymptotic large deviation estimates for these processes, which in particular allow us to estimate the `hole probability', the probability that there are no zeroes in a given open bounded subset of the plane. We also show that the `smooth linear statistics' are asymptotically normal, under an additional regularity hypothesis on the measure. These generalise previous results by Sodin and Tsirelson for the Lebesgue measure.