Abstract. We study the maximum of a Gaussian field on [0, 1]d (d ≥ 1) whose correlations decay loga-rithmically with the distance. Kahane [22] introduced this model to construct mathematically the Gaussian multiplicative chaos in the subcritical case. Duplantier, Rhodes, Sheffield and Vargas [19] [20] extended Kahane’s construction to the critical case and established the KPZ formula at criticality. Moreover, they made in [19] several conjectures on the supercritical case and on the maximum of this Gaussian field. In this paper we resolve Conjecture 12 in [19]: we establish the convergence in law of the maximum and show that the limit law is the Gumbel distribution convoluted by the limit of the derivative martingale.
Gaussian Multiplicative Chaos is a way to produce a measure on $\R^d$ (or subdomain of $\R^d$) of th...
37 pages, 5 figuresInternational audienceWe study the statistics of the extremes of a discrete Gauss...
Gaussian Multiplicative Chaos is a way to produce a measure on R[superscript d] (or subdomain of R[s...
In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-call...
In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-call...
1 figure; revised versionIn this paper, we study Gaussian multiplicative chaos in the critical case....
In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-call...
We review recent progress relating to the extreme value statistics of the characteristic polynomials...
We show that the rescaled maximum of the discrete Gaussian Free Field (DGFF) in dimension larger or ...
We show that the rescaled maximum of the discrete Gaussian Free Field (DGFF) in dimension larger or ...
We show that, for general convolution approximations to a large class of log-correlated fields, incl...
In this article, we establish novel decompositions of Gaussian fields taking values in suitable spac...
In this article, we establish novel decompositions of Gaussian fields taking values in suitable spac...
In this article, we establish novel decompositions of Gaussian fields taking values in suitable spac...
In this article, we establish novel decompositions of Gaussian fields taking values in suitable spac...
Gaussian Multiplicative Chaos is a way to produce a measure on $\R^d$ (or subdomain of $\R^d$) of th...
37 pages, 5 figuresInternational audienceWe study the statistics of the extremes of a discrete Gauss...
Gaussian Multiplicative Chaos is a way to produce a measure on R[superscript d] (or subdomain of R[s...
In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-call...
In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-call...
1 figure; revised versionIn this paper, we study Gaussian multiplicative chaos in the critical case....
In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-call...
We review recent progress relating to the extreme value statistics of the characteristic polynomials...
We show that the rescaled maximum of the discrete Gaussian Free Field (DGFF) in dimension larger or ...
We show that the rescaled maximum of the discrete Gaussian Free Field (DGFF) in dimension larger or ...
We show that, for general convolution approximations to a large class of log-correlated fields, incl...
In this article, we establish novel decompositions of Gaussian fields taking values in suitable spac...
In this article, we establish novel decompositions of Gaussian fields taking values in suitable spac...
In this article, we establish novel decompositions of Gaussian fields taking values in suitable spac...
In this article, we establish novel decompositions of Gaussian fields taking values in suitable spac...
Gaussian Multiplicative Chaos is a way to produce a measure on $\R^d$ (or subdomain of $\R^d$) of th...
37 pages, 5 figuresInternational audienceWe study the statistics of the extremes of a discrete Gauss...
Gaussian Multiplicative Chaos is a way to produce a measure on R[superscript d] (or subdomain of R[s...