Moderate deviation and central limit theorem for stochastic differential delay equations with polynomial growth

被引:9
作者
Suo, Yongqiang [1 ,2 ]
Tao, Jin [3 ]
Zhang, Wei [1 ]
机构
[1] Cent S Univ, Sch Math & Stat, Changsha 410083, Hunan, Peoples R China
[2] Swansea Univ, Dept Math, Singleton Pk, Swansea SA2 8PP, W Glam, Wales
[3] Southern Univ Sci & Technol, Dept Math, Shenzhen 518055, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic differential delay equation (SDDE); polynomial growth; central limit theorem; moderate deviation principle; weak convergence; REACTION-DIFFUSION EQUATIONS; NAVIER-STOKES EQUATIONS; MULTIPLICATIVE NOISE; DYNAMICAL-SYSTEMS; JUMPS; DRIVEN; SDES;
D O I
10.1007/s11464-018-0710-3
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Employing the weak convergence method, based on a variational representation for expected values of positive functionals of a Brownian motion, we investigate moderate deviation for a class of stochastic differential delay equations with small noises, where the coefficients are allowed to be highly nonlinear growth with respect to the variables. Moreover, we obtain the central limit theorem for stochastic differential delay equations which the coefficients are polynomial growth with respect to the delay variables.
引用
收藏
页码:913 / 933
页数:21
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