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Irreversible Markov Chains for Particle Systems and Spin Models: Mixing and Dynamical Scaling
2019-04-29  【 】【打印】【关闭

CAS Key Laboratory of Theoretical Physics

Institute of Theoretical Physics

Chinese Academy of Sciences

Seminar

Title

题目

Irreversible Markov Chains for Particle Systems and Spin Models: Mixing and Dynamical Scaling

Speaker

报告人

Ze Lei (雷泽)                                        

Affiliation

所在单位

Laboratoire de Physique Statistique, école Normale Supérieure de Paris

Date

日期

2019/04/29 上午10点
 

Venue

地点

6520 ITP South Building

Abstract

摘要

This seminar presents irreversible Markov chains in particle and spin systems, focusing on the difference between the scales of "mixing time" and "relaxation time" in the dynamics. In particular, the mechanism of an "event-chain" algorithm in one-dimensional hard-sphere model is related to a coupon-collector problem; in two-dimensional XY model, a slow vortex-pair mode and a fast spin-wave mode are spotted. As a generalization, a new optimization ("factor field") is proposed based on the previous studies, and a super-diffusive behavior is identified in the present algorithm.

Contact Person

所内联系人

金瑜亮    
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