报告题目 (Title)：Mean-field derivation of signal-dependent Keller-Segel system（信号依赖的趋化模型的平均场极限推导）
报告人 (Speaker)： 陈丽教授（曼海姆大学知名教授）
报告时间 (Time)：2026年9月29日（周二）
报告地点 (Place)：腾讯会议 101402770
邀请人(Inviter)：王宇澄
报告摘要：In this talk, I will present a mean-field derivation of the signal-dependent Keller-Segel system through moderate stochastic particle system in the two-dimensional whole space. The diffusion term in the stochastic model depends nonlinearly on the interactions between the individuals. The convergence is proved by introducing an intermediate particle system with a mollified interaction potential. We present the propagation of chaos result with two different types of mollification scaling, namely logarithmic and algebraic scaling.