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Ergodicity and mixing of the stochastic Burgers equation on the real line
时间:2026年10月20日 15:30 点击数:

报告人:李立颖

报告地点:线上腾讯会议(会议ID:685-167-200)

报告时间:2026年10月21日星期三 09:00-10:00

邀请人:高鹏

报告摘要:

We consider the viscous Burgers equation on the real line with additive white-in-time random force and study its ergodic properties. In the case of space-homogeneous noise, under mild assuptions we establish the existence of a unique ergodic solution for every fixed average velocity. The analysis utilizes the directed polymer models derived from the Feynman--Kac representation of the Burgers solution, where the question of unique ergodicity can be reformulated in terms of the existence and uniqueness of the infinite-volume polymer Gibbs measures. Furthermore, the inviscid limit holds for these ergodic solutions, and correspondingly, the polymer measures in the zero-temperature limit converges to delta measures concentrated on infinite minimizers. Further questions on the finer properties of this global solution are open problems related to the KPZ universality conjectures for non-integrable models. In the case of L2 noise with small damping, we present a polynomial mixing result using Foiaş-Prodi type estimates, which holds for general conservation laws as well.

主讲人简介:

李立颖,南方科技大学数学系副教授、博士生导师,入选国家级高层次青年人才。主要研究方向为概率论中的随机偏微分方程遍历性、KPZ模型等。

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