Extremal process of the zero-average Gaussian Free Field for $d\ge 3$
Sayan Das, Rajat Subhra Hazra

TL;DR
This paper proves that the extremal points of the zero-average Gaussian Free Field in dimensions three and higher form a Poisson process, with the maximum following a Gumbel distribution after proper normalization.
Contribution
It establishes the weak convergence of the extremal process of the zero-average Gaussian Free Field to a Poisson random measure in dimensions d≥3.
Findings
Extremal point process converges to a Poisson random measure.
Maxima of the field follow a Gumbel distribution after normalization.
Results hold for dimensions d≥3.
Abstract
We consider the Gaussian free field on the torus whose covariance kernel is given by the zero-average Green's function. We show that for dimension , the extremal point process associated with this field converges weakly to a Poisson random measure. As an immediate corollary, the maxima of the field converges after appropriate centering and scaling to the Gumbel distribution.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Geometry and complex manifolds · Random Matrices and Applications
