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We study one-dimensional exact scaling lognormal multiplicative chaos measures at criticality. Our main results are the determination of the exact asymptotics of the right tail of the distribution of the total mass of the measure, and an…

Probability · Mathematics 2015-10-28 Julien Barral , Antti Kupiainen , Miika Nikula , Eero Saksman , Christian Webb

We consider $N\times N$ matrices $X$ with independent, identically distributed entries, and prove that the sequence of measures $\frac{ | \det (X-z)|^\gamma}{\mathbb{E}[ | \det (X-z)|^\gamma]}$ converge to the Gaussian Multiplicative Chaos…

Probability · Mathematics 2026-05-29 Giorgio Cipolloni , Benjamin Landon

In the present paper, we show that (under some minor technical assumption) Complex Gaussian Multiplicative Chaos defined as the complex exponential of a $\log$-correlated Gaussian field can be obtained by taking the limit of the exponential…

Probability · Mathematics 2020-12-01 Hubert Lacoin

We consider log-correlated random fields $X$ and the associated multiplicative chaos measures $\mu_{\gamma,X}$. Our results reconstruct the underlying field $X$ from the multiplicative chaos measure $\nu_{\gamma,X}$. The new feature of our…

Probability · Mathematics 2024-09-02 Sami Vihko

For an $N \times N$ random unitary matrix $U_N$, we consider the random field defined by counting the number of eigenvalues of $U_N$ in a mesoscopic arc of the unit circle, regularized at an $N$-dependent scale $\epsilon_N>0$. We prove that…

Probability · Mathematics 2018-04-20 Gaultier Lambert , Dmitry Ostrovsky , Nick Simm

The aim of this review-style paper is to provide a concise, self-contained and unified presentation of the construction and main properties of Gaussian multiplicative chaos (GMC) measures for log-correlated fields in 2D in the subcritical…

Probability · Mathematics 2020-04-30 Juhan Aru

We prove that multiplicative chaos measures can be constructed from extreme level sets or thick points of the underlying logarithmically correlated field. We develop a method which covers the whole subcritical phase and only requires…

Probability · Mathematics 2023-03-22 Janne Junnila , Gaultier Lambert , Christian Webb

Denote by $\mu_\beta="\exp(\beta X)"$ the Gaussian multiplicative chaos which is defined using a log-correlated Gaussian field $X$ on a domain $U\subset\mathbb{R}^d$. The case $\beta\in\mathbb{R}$ has been studied quite intensively, and…

Probability · Mathematics 2019-05-30 Janne Junnila , Eero Saksman , Lauri Viitasaari

We consider powers of the absolute value of the characteristic polynomial of Haar distributed random orthogonal or symplectic matrices, as well as powers of the exponential of its argument, as a random measure on the unit circle minus small…

Mathematical Physics · Physics 2022-09-15 Johannes Forkel , Jonathan P. Keating

In this note we prove that suitable positive powers of the absolute value of the characteristic polynomial of a Haar distributed random unitary matrix converge in law, as the size of the matrix tends to infinity, to a Gaussian…

Probability · Mathematics 2018-06-06 Miika Nikula , Eero Saksman , Christian Webb

In this article, we consider the multiplicative chaos measure associated to the log-correlated random Fourier series, or random wave model, with i.i.d. coefficients taken from a general class of distributions. This measure was shown to be…

Probability · Mathematics 2025-12-17 Yujin H. Kim , Xaver Kriechbaum

Given an instance $h$ of the Gaussian free field on a planar domain $D$ and a constant $\gamma \in (0,2)$, one can use various regularization procedures to make sense of the Liouville quantum gravity area measure $\mu := e^{\gamma h(z)}…

Probability · Mathematics 2020-09-08 Nathanaël Berestycki , Scott Sheffield , Xin Sun

In this paper, we establish the exact Fourier dimensions of all standard sub-critical Gaussian multiplicative chaos on the unit interval, thereby confirming the Garban-Vargas conjecture. The proof relies on a significant improvement of the…

Probability · Mathematics 2025-05-07 Zhaofeng Lin , Yanqi Qiu , Mingjie Tan

In this article we study imaginary Gaussian multiplicative chaos -- namely a family of random generalized functions which can formally be written as $e^{i X(x)}$, where $X$ is a log-correlated real-valued Gaussian field on $\mathbb{R}^d$,…

Probability · Mathematics 2018-12-21 Janne Junnila , Eero Saksman , Christian Webb

We identify an equality between two objects arising from different contexts of mathematical physics: Kahane's Gaussian Multiplicative Chaos ($GMC^\gamma$) on the circle, and the Circular Beta Ensemble $(C\beta E)$ from Random Matrix Theory.…

Probability · Mathematics 2025-12-02 Reda Chhaibi , Joseph Najnudel

We characterise the multiplicative chaos measure $\mathcal{M}$ associated to planar Brownian motion introduced in [BBK94,AHS20,Jeg20a] by showing that it is the only random Borel measure satisfying a list of natural properties. These…

Probability · Mathematics 2025-12-01 Antoine Jego

We study the total mass of high points in a random model for the Riemann-Zeta function. We consider the same model as in [8], [2], and build on the convergence to 'Gaussian' multiplicative chaos proved in [14]. We show that the total mass…

Probability · Mathematics 2019-06-24 Louis-Pierre Arguin , Lisa Hartung , Nicola Kistler

We introduce a unified approach for studying the polynomial Fourier decay of classical multiplicative chaos measures. As consequences, we obtain the precise Fourier dimensions for multiplicative chaos measures arising from the following key…

Probability · Mathematics 2025-06-18 Zhaofeng Lin , Yanqi Qiu , Mingjie Tan

The objective of this note is to study the probability that the total mass of a sub-critical Gaussian multiplicative chaos (GMC) with arbitrary base measure $\sigma$ is small. When $\sigma$ has some continuous density w.r.t Lebesgue…

Probability · Mathematics 2019-01-23 Christophe Garban , Nina Holden , Avelio Sepúlveda , Xin Sun

Consider a logarithmically-correlated Gaussian field $X$ in $d$ dimensions. For all $\gamma \in (-\sqrt{2d},\sqrt{2d})$, we show that the derivatives $\frac{\partial^k}{\partial\gamma^k} :e^{\gamma X_\epsilon}:$ of the regularised Gaussian…

Probability · Mathematics 2026-01-28 Antoine Jego