We study the long-range one-dimensional Riesz gas on the circle, a continuous system of particles interacting through a Riesz (i.e inverse power) kernel. We establish near-optimal rigidity estimates on gaps valid at any scale. Leveraging on these local laws and using a Stein method, we provide a quantitative Central Limit Theorem for linear statistics. The proof is based on a mean-field transport and on a fine analysis of the fluctuations of local error terms through the study of Helffer-Sj\"ostrand equations. The method can handle very singular test-functions, including characteristic functions of intervals, using a comparison principle for the Helffer-Sj\"ostrand equation
We consider the jellium model of $N$ particles on a line confined in an external harmonic potential ...
We prove a central limit theorem for the finite dimensional marginals of the Gibbs distribution of t...
We introduce a version of Stein's method of comparison of operators specifically tailored to the pro...
Cette thèse se propose d'étudier divers problèmes de mécanique statistique pour une famille de systè...
Jack measures on partitions occur naturally in the study of continuum circular log-gases in generic ...
25 pages; one typo corrected; some explanations on the notion of statistical solution of the mean fi...
We provide a proof of mean-field convergence of first-order dissipative or conservative dynamics of ...
We study the Gibbs measure associated to a system of N particles with logarithmic, Coulomb or Riesz ...
We consider the hard-edge scaling of the Mittag-Leffler ensemble confined to a fixed disk inside the...
In this thesis, we systematically study the mean field limit for large systems of particles intera...
International audienceWe consider a locally interacting Fermi gas in its natural non-equilibrium ste...
The main results of my work contribute to the mathematical study of microscopic non-equilibrium syst...
We consider an infinite system of particles on a line performing identical Brownian motions and inte...
In these notes we use renormalization techniques to derive a second order Boltzmann-Gibbs Principle ...
15 pagesInternational audienceIn this article, several aspects of the dynamics of a toy model for lo...
We consider the jellium model of $N$ particles on a line confined in an external harmonic potential ...
We prove a central limit theorem for the finite dimensional marginals of the Gibbs distribution of t...
We introduce a version of Stein's method of comparison of operators specifically tailored to the pro...
Cette thèse se propose d'étudier divers problèmes de mécanique statistique pour une famille de systè...
Jack measures on partitions occur naturally in the study of continuum circular log-gases in generic ...
25 pages; one typo corrected; some explanations on the notion of statistical solution of the mean fi...
We provide a proof of mean-field convergence of first-order dissipative or conservative dynamics of ...
We study the Gibbs measure associated to a system of N particles with logarithmic, Coulomb or Riesz ...
We consider the hard-edge scaling of the Mittag-Leffler ensemble confined to a fixed disk inside the...
In this thesis, we systematically study the mean field limit for large systems of particles intera...
International audienceWe consider a locally interacting Fermi gas in its natural non-equilibrium ste...
The main results of my work contribute to the mathematical study of microscopic non-equilibrium syst...
We consider an infinite system of particles on a line performing identical Brownian motions and inte...
In these notes we use renormalization techniques to derive a second order Boltzmann-Gibbs Principle ...
15 pagesInternational audienceIn this article, several aspects of the dynamics of a toy model for lo...
We consider the jellium model of $N$ particles on a line confined in an external harmonic potential ...
We prove a central limit theorem for the finite dimensional marginals of the Gibbs distribution of t...
We introduce a version of Stein's method of comparison of operators specifically tailored to the pro...