Acta mathematica scientia,Series B ›› 2020, Vol. 40 ›› Issue (5): 1477-1494.doi: 10.1007/s10473-020-0518-6

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CENTRAL LIMIT THEOREM AND MODERATE DEVIATIONS FOR A CLASS OF SEMILINEAR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS

Shulan HU1, Ruinan LI2, Xinyu WANG3   

  1. 1. School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China;
    2. School of Statistics and Information, Shanghai University of International Business and Economics, Shanghai 201620, China;
    3. School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2018-10-14 Revised:2019-10-28 Online:2020-10-25 Published:2020-11-04
  • Contact: Xinyu WANG E-mail:wang_xin_yu@hust.edu.cn
  • Supported by:
    The research of HU was supported by NSFF (17BTJ034). The research of WANG was supported by NSFC (11871382, 11771161).

Abstract: In this paper we prove a central limit theorem and a moderate deviation principle for a class of semilinear stochastic partial differential equations, which contain the stochastic Burgers' equation and the stochastic reaction-diffusion equation. The weak convergence method plays an important role.

Key words: stochastic Burgers' equation, stochastic reaction-diffusion equation, large deviations, moderate deviations

CLC Number: 

  • 60H15
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