报告题目：Biased voter model interface
报告摘要：When a one-dimensional interacting particle system is in a state with two constant configurations of different types at two ends, the interval of mixed types in between is called its interface. In this talk, we will first review the interface results for the classical voter models. We will then introduce recent results for the biased voter models, where in such models there is a bias towards one particular type of the opinions. Finally, we will demonstrate the relation between tightness for the biased voter model interface and tightness for branching-coalescing random walks.
This is based on joint work with Rongfeng Sun and Jan M. Swart.
报告人简介：Jinjiong Yu is currently a Postdoctoral Fellow at NYU Shanghai. Prior to joining NYU Shanghai, he obtained his bachelor degree from Peking University and Ph.D. from National University of Singapore. His research interests lie in probability theory, interacting particle systems, and statistical mechanical models. He has published papers in journals like Stochastic Processes and their Applications.