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Large Deviations of Fractional Stochastic Equations on Unbounded Domains

发布日期:2024-12-16点击数:

报告人:王碧祥 教授(美国新墨西哥矿业理工大学)

时间:2024年12月18日 10:00-

腾讯会议ID:462-176-210    会议链接https://meeting.tencent.com/dm/EzQC5CvEyALn 


摘要:In this talk, we discuss the large deviation principle of the non-local fractional stochasticreaction-diusion equations with a polynomial drift of arbitrary degree driven by multiplicative noise dened on unbounded domains. We rst prove the strong convergence of the solutions of acontrol equation with respect to the weak topology of controls, and then show the convergence in distribution of the solutions of the stochastic equation when the noise intensity approaches zero. We nally establish the large deviations of the stochastic equation by the weak convergence method. The main diculty of the paper is caused by the non-compactness of Sobolev embeddings on unbounded domains, and the idea of uniform tail-ends estimates is employed to circumvent the obstacle in order to obtain the tightness of distribution laws of the stochastic equation and the precompactness of the control equation.


邀请人: 周国立


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重庆大学数学与统计学院的前身是始建于1929年的重庆大学理学院和1937年建立的重庆大学商学院,理学院是重庆大学最早设立的三个学院之一,首任院长为数学家何鲁先生。