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Behaviors near infinity for mutually enhancing continuous-state population dynamics
时间:2026年09月04日 14:34 点击数:

报告人:杨叙

报告地点:人民大街校区数学与统计学院四楼会议室

报告时间:2026年09月06日星期日16:30-17:30

邀请人:杨青山

报告摘要:

In this talk we consider a two-dimensional generalized continuous-state branching process with  mutually enhancing two-way interactions characterized by two stochastic differential equations driven by Brownian motions and spectrally positive $\alpha$-stable random measures. Such continuous-state population dynamics can also be identified as a stochastic Lotka-Volterra type population model. Infinite behavior such as explosion/nonexplosion for this population and staying infinite/coming down from infinity are derived under various conditions on the coefficients involved in the model and the conclusions are rather sharp. This talk is based on a joint work with Jie Xiong and Xiaowen Zhou.

主讲人简介:

杨叙,北方民族大学教授,博士生导师、数学与信息科学学院副院长。2013年6月于北京师范大学获得博士学位。主要研究方向为分枝过程、随机微分方程及随机偏微分方程。学术成果方面,曾在《Annals of Applied Probability》《Stochastic Processes and their Applications》《Bernoulli》及《Journal of Differential Equations》等国际权威期刊上发表多篇学术论文,主持多项国家自然科学基金项目。

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