An Introduction to Once-reinforced Random Walks
报告专家：黄翔宇（清华大学）
报告时间：1月15日（星期三）下午3:40-4:40
报告地点：数学学院西202报告厅
报告摘要：Reinforced random walks on graphs fit in a large family of self-interacting random walks. Different from the simple random walk, the transition probabilities of reinforced random walks depend on the whole past trajectory. As a specific version of the reinforced random walks, once-reinforced random walks (ORRWs) has a simple reinforcement rule, which in fact leads to a further loss of the Markov property. The study on ORRWs is challenging and has no unified method until now. In this talk, I would like to introduce ORRWs and some results on this model, such as recurrence/transience results, large deviations and estimates of cover times.
专家简介：黄翔宇，博士毕业于北京大学，目前在清华大学从事博士后，主要研究兴趣包括：随机分析、随机游动、自交互随机过程。
邀请人：胡泽春
