Fluctuations of linear statistics for Gaussian perturbations of the lattice ${\mathbb{Z}}^d$

Abstract

We study the point process $W$ in ${\mathbb{R}}^d$ obtained by adding an independent Gaussian vector to each point in ${\mathbb{Z}}^d$. Our main concern is the asymptotic size of fluctuations of the linear statistics in the large volume limit, defined as \[ N(h,R) = \sum_{w\in W} h\left(\frac{w}{R}\right), \] where $h\in \left(L^1\cap L^2\right)({\mathbb{R}}^d)$ is a test function and $R\to \infty$. We will also consider the stationary counter-part of the process $W$, obtained by adding to all perturbations a random vector which is uniformly distributed on $[0,1{]}^d$ and is independent of all the Gaussians. We focus on two main examples of interest, when the test function $h$ is either smooth or is an indicator function of a convex set with a smooth boundary whose curvature does not vanish.

arXiv comment24 pages. Changed title in the 2nd version and added some references

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