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Sequential Interacting Diffusions: Convergence and Fluctuations

发布时间:2026年06月11日 14:09 浏览量:

报告题目:Sequential Interacting Diffusions: Convergence and Fluctuations

人:赵显亮 博士后北京大学北京国际数学研究中心

报告时间:2026625星期四9001000

报告地点:数学科学学院114(小报告厅)          

校内联系人: 程梦雨 副教授 联系方式84708351-8206


报告摘要:I will discuss a directed, non-exchangeable particle approximation of McKean-Vlasov diffusions, where particle \(i\) interacts only with its predecessors through their empirical measure. Although the system has the same McKean-Vlasov limit as the classical exchangeable model, its sequential structure leads to different quantitative and fluctuation behavior.

The first part concerns propagation of chaos via an incremental path-space relative entropy, giving sharp \((i-1)^{-1}\) one-step entropy estimates and \(N^{-1/2}\)-scale empirical convergence in negative Sobolev norms. A key ingredient is the construction of auxiliary random measures from conditional laws, which replace predecessor empirical measures by averaged conditional measures. The second part presents a central limit theorem: the limiting averaged fluctuation is Gaussian, but its equation is coupled to a hierarchy of logarithmically weighted fluctuation fields.


报告人简介:赵显亮,2023年获德国 Bielefeld University 数学博士学位,现为北京大学北京国际数学研究中心博士后。主要研究方向为随机分析与相互作用粒子系统,研究兴趣集中在奇异相互作用粒子系统的极限理论,包括平均场极限、高斯涨落及大偏差估计等。相关工作发表于 Arch. Ration. Mech. Anal.SIAM J. Math. Anal.等期刊。


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