Extremes of the zero-average Gaussian Free Field on random regular graphs

Fuente: arXiv
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Main Authors: Hartung, Lisa, Klippel, Andreas, Mönch, Christian
Format: Preprint
Published: 2025
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author Hartung, Lisa
Klippel, Andreas
Mönch, Christian
author_facet Hartung, Lisa
Klippel, Andreas
Mönch, Christian
contents We study the extreme value statistics of the zero-average Gaussian free field (GFF) on random $r$-regular graphs and the Gaussian free field on $r$-regular trees. For random $r$-regular graphs of diverging size, for every fixed $r\ge3$, we show that the rescaled extremal point process of the field is asymptotically distributed, in the annealed sense, as a Poisson point process on the line with intensity $e^{-x}\,\mathrm{d}x$. The same limit behaviour is obeyed by the restriction of the GFF on $r$-regular trees to finite subsets of vertices. Our approach relies on a direct Gaussian comparison argument and precise Green function estimates.
format Preprint
id arxiv_https___arxiv_org_abs_2511_14026
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Extremes of the zero-average Gaussian Free Field on random regular graphs
Hartung, Lisa
Klippel, Andreas
Mönch, Christian
Probability
60G70 (Primary) 60K35, 05C80 (Secondary)
We study the extreme value statistics of the zero-average Gaussian free field (GFF) on random $r$-regular graphs and the Gaussian free field on $r$-regular trees. For random $r$-regular graphs of diverging size, for every fixed $r\ge3$, we show that the rescaled extremal point process of the field is asymptotically distributed, in the annealed sense, as a Poisson point process on the line with intensity $e^{-x}\,\mathrm{d}x$. The same limit behaviour is obeyed by the restriction of the GFF on $r$-regular trees to finite subsets of vertices. Our approach relies on a direct Gaussian comparison argument and precise Green function estimates.
title Extremes of the zero-average Gaussian Free Field on random regular graphs
topic Probability
60G70 (Primary) 60K35, 05C80 (Secondary)
url https://arxiv.org/abs/2511.14026