Gaussian Multiplicative Chaos for i.i.d. matrices

Fuente: arXiv
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Hauptverfasser: Cipolloni, Giorgio, Landon, Benjamin
Format: Preprint
Veröffentlicht: 2026
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author Cipolloni, Giorgio
Landon, Benjamin
author_facet Cipolloni, Giorgio
Landon, Benjamin
contents We consider $N\times N$ matrices $X$ with independent, identically distributed entries, and prove that the sequence of measures $\frac{ | \det (X-z)|^γ}{\mathbb{E}[ | \det (X-z)|^γ]}$ converge to the Gaussian Multiplicative Chaos in the full subcritical regime $γ\in (0, 2 \sqrt{2})$ as $N \to \infty$. Our result holds for both symmetry classes and in particular is new even for real Ginibre matrices, and is the first such convergence for any non-invariant ensemble of random matrices. We also establish the asymptotics for the $K$-point function of $| \det (X-z)|$ at any collection of mesoscopically separated points $z_i$. Our methods are analytic and probabilistic in nature, relying in part on the dynamical approach based on Dyson Brownian motion.
format Preprint
id arxiv_https___arxiv_org_abs_2605_29962
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Gaussian Multiplicative Chaos for i.i.d. matrices
Cipolloni, Giorgio
Landon, Benjamin
Probability
Mathematical Physics
We consider $N\times N$ matrices $X$ with independent, identically distributed entries, and prove that the sequence of measures $\frac{ | \det (X-z)|^γ}{\mathbb{E}[ | \det (X-z)|^γ]}$ converge to the Gaussian Multiplicative Chaos in the full subcritical regime $γ\in (0, 2 \sqrt{2})$ as $N \to \infty$. Our result holds for both symmetry classes and in particular is new even for real Ginibre matrices, and is the first such convergence for any non-invariant ensemble of random matrices. We also establish the asymptotics for the $K$-point function of $| \det (X-z)|$ at any collection of mesoscopically separated points $z_i$. Our methods are analytic and probabilistic in nature, relying in part on the dynamical approach based on Dyson Brownian motion.
title Gaussian Multiplicative Chaos for i.i.d. matrices
topic Probability
Mathematical Physics
url https://arxiv.org/abs/2605.29962