Large deviations for invariant measures of multivalued stochastic differential equations

Large deviations for invariant measures of multivalued stochastic differential equations
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多值随机微分方程不变测度的大偏差

DOI:
10.1080/07362994.2021.1960565
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发表时间:
2021-08
影响因子:
1.3
通讯作者:
张华
张华
中科院分区:
数学4区
文献类型:
--
作者:
张华

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摘要本文研究了多值随机微分方程不变测度的大偏差问题。在扩散系数非Lipschitz和椭圆的假设下,建立了多值随机微分方程解的不变测度的大偏差原理.证明是基于对多值随机微分方程解的大偏差和不变测度的研究。
ABSTRACT In this paper, the problem of the large deviations for the invariant measures of the multivalued stochastic differential equations is considered. Under the assumptions of diffusion coefficient being non-Lipschitz and elliptic, we establish the large deviation principle for the invariant measures of the solutions to the multivalued stochastic differential equations. The proof is based on the work of large deviations and invariant measures for the solutions to the multivalued stochastic differential equations.
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