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分布时滞随机偏微分系统的均方指数稳定性
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作者 李延波 陈超洋 +1 位作者 张晶华 李成群 《控制理论与应用》 EI CAS CSCD 北大核心 2022年第11期2185-2192,共8页
针对一类同时具有分布时滞和维纳过程的随机偏微分系统,首先基于ItÔ微分公式,通过计算弱无穷小算子,得到了随机微分导数;其次利用Green公式和积分不等式及Schur补引理对矩阵不等式进行处理;然后对微分两边积分并同时取数学期望处... 针对一类同时具有分布时滞和维纳过程的随机偏微分系统,首先基于ItÔ微分公式,通过计算弱无穷小算子,得到了随机微分导数;其次利用Green公式和积分不等式及Schur补引理对矩阵不等式进行处理;然后对微分两边积分并同时取数学期望处理随机交叉项;获得了分布时滞随机偏微分系统是均方指数稳定的充分条件.在此基础上,进一步考虑了离散变时滞和分布变时滞在一定约束情形下的分布时滞随机偏微分系统的均方指数稳定性问题.最后给出仿真实例,仿真结果表明所获得的线性矩阵不等式条件保证了系统的稳定性,验证了所得结论的有效性. 展开更多
关键词 随机偏微分系统 分布时滞 ItÔ公式 均方指数稳定性
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SEMI-LINEAR SYSTEMS OF BACKWARD STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS IN R^n 被引量:2
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作者 TANGSHANJIAN 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2005年第3期437-456,共20页
This paper explores the diffeomorphism of a backward stochastic ordinary differential equation (BSDE) to a system of semi-linear backward stochastic partial differential equations (BSPDEs), under the inverse of a stoc... This paper explores the diffeomorphism of a backward stochastic ordinary differential equation (BSDE) to a system of semi-linear backward stochastic partial differential equations (BSPDEs), under the inverse of a stochastic flow generated by an ordinary stochastic differential equation (SDE). The author develops a new approach to BSPDEs and also provides some new results. The adapted solution of BSPDEs in terms of those of SDEs and BSDEs is constructed. This brings a new insight on BSPDEs, and leads to a probabilistic approach. As a consequence, the existence, uniqueness, and regularity results are obtained for the (classical, Sobolev, and distributional) solution of BSPDEs.The dimension of the space variable x is allowed to be arbitrary n, and BSPDEs are allowed to be nonlinear in both unknown variables, which implies that the BSPDEs may be nonlinear in the gradient. Due to the limitation of space, however, this paper concerns only classical solution of BSPDEs under some more restricted assumptions. 展开更多
关键词 Semi-linear system of backward stochastic partial differential equation Backward stochastic differential equation Stochastic differential equation Probabilistic representation Stochastic flow
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Mean field limit of a dynamical model of polymer systems
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作者 E Weinan SHEN Hao 《Science China Mathematics》 SCIE 2013年第12期2591-2598,共8页
This paper provides a mathematically rigorous foundation for self-consistent mean field theory of the polymeric physics. We study a new model for dynamics of mono-polymer systems. Every polymer is regarded as a string... This paper provides a mathematically rigorous foundation for self-consistent mean field theory of the polymeric physics. We study a new model for dynamics of mono-polymer systems. Every polymer is regarded as a string of points which are moving randomly as Brownian motions and under elastic forces. Every two points on the same string or on two different strings also interact under a pairwise potential V. The dynamics of the system is described by a system of N coupled stochastic partial differential equations (SPDEs). We show that the mean field limit as N -+ c~ of the system is a self-consistent McKean-Vlasov type equation, under suitable assumptions on the initial and boundary conditions and regularity of V. We also prove that both the SPDE system of the polymers and the mean field limit equation are well-posed. 展开更多
关键词 POLYMERS mean field limit stochastic PDEs McKean-Vlasov equation
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