Full extremal process in four-dimensional membrane model

Fuente: arXiv
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Hauptverfasser: Ge, Hao, Li, Xinyi, Zhao, Jiaxi
Format: Preprint
Veröffentlicht: 2025
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author Ge, Hao
Li, Xinyi
Zhao, Jiaxi
author_facet Ge, Hao
Li, Xinyi
Zhao, Jiaxi
contents We investigate the extremal process of four-dimensional membrane models as the size of the lattice $N$ tends to infinity. We prove the cluster-like geometry of the extreme points and the existence as well as the uniqueness of the extremal process. The extremal process is characterized by a distributional invariance property and a Poisson structure with explicit formulas. Our approach follows the same philosophy as the two-dimensional Gaussian free field (2D GFF) via the comparison with the modified branching random walk. The proofs leverage the ``Dysonization'' technique and a careful treatment of the correlation structure, which is more intricate than the 2D GFF case. As a by-product, we also obtain a simpler proof of a crucial sprinkling lemma.
format Preprint
id arxiv_https___arxiv_org_abs_2507_19554
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Full extremal process in four-dimensional membrane model
Ge, Hao
Li, Xinyi
Zhao, Jiaxi
Probability
We investigate the extremal process of four-dimensional membrane models as the size of the lattice $N$ tends to infinity. We prove the cluster-like geometry of the extreme points and the existence as well as the uniqueness of the extremal process. The extremal process is characterized by a distributional invariance property and a Poisson structure with explicit formulas. Our approach follows the same philosophy as the two-dimensional Gaussian free field (2D GFF) via the comparison with the modified branching random walk. The proofs leverage the ``Dysonization'' technique and a careful treatment of the correlation structure, which is more intricate than the 2D GFF case. As a by-product, we also obtain a simpler proof of a crucial sprinkling lemma.
title Full extremal process in four-dimensional membrane model
topic Probability
url https://arxiv.org/abs/2507.19554