Loïc Thomassey | Searcharxiv

arXiv2026

Regularization of a stationary point process by a stationary increments perturbation

We present a novel procedure where a stationary point process is regularized through the convolution with a continuous random field with stationary increments, in the sense that the dependency between distant points is weakened; and the potential peaks in the spectrum (or Bragg peaks), reminiscent of a periodic behavior, are erased. We use this procedure to efficiently generate a hyperuniform point process in dimension 1 using a fractional Brownian Motion; simulating n points with complexity n log(n).

math.PR↗

arXiv2025

Perturbed Palm measures

We show that the perturbation of a Palm measure by an independent process with stationary increments remains a Palm measure.

math.PR↗

arXiv2023

Nodal Replication of Planar Random Waves

We study the almost periods of the eigenmodes of flat planar manifolds in the high energy limit. We prove in particular that the Gaussian Arithmetic Random Waves replicate almost identically at a scale at most ${\ell}$n := n -- 1 2 exp (Nn), where Nn is the number of ways n can be written as a sum of two squares. It provides a qualitative interpretation of the full correlation phenomenon of the nodal length, which is known to happen at scales larger than ${\ell}$ ' n := n --1/2 N A n. We provide also a heuristic with a toy model pleading that the minimal scale of replication should be closer to ${\ell}$ ' n than ${\ell}$n. Contents 1. Introduction 1 2. Almost periodicity and replication 6 3. Dirichlet's theorem for almost periodic fields 13 4. Replication of the nodal lines 15 5. Optimality of Dirichlet's approximation theorem 19 6. Appendix 20 References 28

math.PR↗