报告题目：Metastability for expanding bubbles on a sticky substrate
报 告 人：杨尚杰（巴西国家数学与应用研究所 博士）
报告时间：2021年3月5日（星期五）上午9:00开始
报告地点：Zoom ID：732 301 7223
Pass code： nbu2021
报告摘要：We study the dynamical behavior of a one dimensional interface interacting with a sticky impenetrable substrate or wall. The interface is subject to two effects going in opposite directions. Contact between the interface and the substrate are given an energetic bonus while an external force with constant intensity pulls the interface away from the wall. Our interface is modeled by the graph of a one-dimensional nearest-neighbor path on $\mathbb{Z}_+$, starting at $0$ and ending at $0$ after $2N$ steps, the wall corresponding to level-zero the horizontal axis. At equilibrium each path $\xi=(\xi_x)_{x=0}^{2N}$, is given a probability proportional to $\lambda^{H(\xi)} \exp(\frac{\sigma}{N}A(\xi))$, where $H(\xi):=\#\{x \ : \xi_x=0\}$ and $A(\xi)$ is the area enclosed between the path $\xi$ and the $x$-axis. We then consider the classical heat-bath dynamics which equilibrates the value of each $\xi_x$ at a constant rate via corner-flip. Investigating the statics of the model, we derive the full phase diagram in $\gl$ and $\sigma$ of this model, and identify the critical line which separates a localized phase where the pinning force sticks the interface to the wall and a delocalized one, for which the external force stabilizes $\xi$ around a deterministic shape at a macroscopic distance of the wall. On the dynamical side, we identify a second critical line, which separates a rapidly mixing phase (for which the system mixes in polynomial time) to a slow phase where the mixing time grows exponentially. In this slowly mixing regime we obtain a sharp estimate of the mixing time on the $\log$ scale, and provide evidences of a metastable behavior.
报告人简介：Shangjie Yang is a Ph.D from Instituto de Matem\'atica Pura e Aplicada(IMPA), Brasil, working with Prof. Hubert Lacoin. He is mainly interested in probability theory and statistical mechanics. In particular, his research focuses on Markov chains and mixing times, random polymer, interacting particle system, metastability, random walk in random environments, the solid-on-solid model.
