研讨班报告

偏微分方程研讨班:Statistical mechanics of Coulomb and Riesz gases

发布时间:2026-05-27

院数学与系统科学研究院

数学研究所

数学科学全国重点实验室

偏微分方程研讨班

Speaker: Professor Sylvia SerfatySorbonne Université

Inviter:Nguyen Quoc Hung

Language:English

Title: Statistical mechanics of Coulomb and Riesz gases:I  

Time & Venue: 2026527日(星期三)1500-1600 & Zoom ID: 373 227 3489/Passcode: AMSS2026

Abstract:Coulomb and Riesz gases are ensembles of points with pair interaction of the form |x|^{-s}, with a confining potential, which arise in classical models for matter, and random matrix theory, among others. We are focused on the range s\in [d-2,d), where d is the dimension, which includes the Coulomb case s=d-2 and the logarithmic cases s=0 in dimensions 1 and 2. In the first lecture, we will describe the mean-field behavior and the relation to the equilibrium measure. We will discuss a Large Deviations Principle which characterizes the local behavior, which  connects naturally to crystallization questions of number-theoretic nature.In the second lecture, we will discuss local laws proven by a bootstrap on scales, and fluctuations around the mean-field limit by a transport method.

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Title: Statistical mechanics of Coulomb and Riesz gases: II

Time & Venue: 2026529日(星期五)1500-1600 & Zoom ID: 373 227 3489/Passcode: AMSS2026

Abstract: Coulomb and Riesz gases are ensembles of points with pair interaction of the form |x|^{-s}, with a confining potential, which arise in classical models for matter, and random matrix theory, among others. We are focused on the range s\in [d-2,d), where d is the dimension, which includes the Coulomb case s=d-2 and the logarithmic cases s=0 in dimensions 1 and 2. In the first lecture, we will describe the mean-field behavior and the relation to the equilibrium measure. We will discuss a Large Deviations Principle which characterizes the local behavior, which  connects naturally to crystallization questions of number-theoretic nature.In the second lecture, we will discuss local laws proven by a bootstrap on scales, and fluctuations around the mean-field limit by a transport method.


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