High local maxima of stationary smooth Gaussian fields
Dmitry Beliaev, Akshay Hegde

TL;DR
This paper proves that high local maxima of smooth Gaussian fields behave like a Poisson process as the level goes to infinity, providing quantitative convergence results and a CLT for the Bargmann-Fock field.
Contribution
It establishes weak convergence of high maxima point processes to Poisson processes and quantifies the convergence rate for the Bargmann-Fock field.
Findings
High maxima form a Poisson point process in the limit as level goes to infinity.
Quantitative bounds on the total variation distance decay exponentially with the level.
A CLT for the number of high maxima in large regions when the level grows appropriately.
Abstract
Consider the point process (in ) of local maxima of smooth Gaussian fields, with sufficient decay of correlation at infinity, above a level . We show that this point process, rescaled appropriately, converges weakly to a Poisson point process in the limit . Our proof relies on the classical observation that simple point processes are characterised by avoidance probabilities (i.e. for a point process and Borel set ). Then we approximate avoidance probability with the excursion probability, where the latter is well studied. Second main result is a quantified version of the Poisson convergence of high local maxima of the Bargmann-Fock field in . We prove that, for Bargmann-Fock field in two dimensions, the total variation distance between a Poisson random variable and the number of local maxima of the field…
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Taxonomy
TopicsRandom Matrices and Applications · Point processes and geometric inequalities · Stochastic processes and statistical mechanics
