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学术活动
Large deviations principle for weighted means of a recursive numerical method for ergodic SDEs
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报告人:
Ziheng Chen, Associate Professor, Yunnan University
邀请人:
Chuchu Chen, Associate Professor
题目:
Large deviations principle for weighted means of a recursive numerical method for ergodic SDEs
时间地点:
19:00-20:00 February 2(Thursday) ,Tencent Meeting ID: 236-982-012
摘要:
For ergodic SDEs, their ergodic limits are usually approximated by the suitable means of numerical methods. To reveal the numerical asymptotic behavior, we study the large deviations principle (LDP) for weighted empirical means of a recursive numerical method, which is based on the Euler-Maruyama method with decreasing step for SDEs. It is derived by the contractive principle and the LDP for the corresponding weighted empirical measures.  Instead of using the Gartner-Ellis theorem, we employ a weak convergence approach to establish the Laplace principle for the weighted empirical measures, which further yields the desired LDP result due to the equivalence between the Laplace principle and the LDP.