Gradient estimates and ergodicity for SDEs driven by multiplicative Levy noises via coupling

被引:16
作者
Liang, Mingjie [1 ,2 ]
Wang, Jian [2 ,3 ]
机构
[1] Sanming Univ, Coll Informat Engn, Sanming 365004, Peoples R China
[2] Fujian Normal Univ, Coll Math & Informat, Fuzhou 350007, Peoples R China
[3] Fujian Normal Univ, Fujian Key Lab Math Anal & Applicat FJKLMAA, Fuzhou 350007, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Stochastic differential equation; Multiplicative pure jump Levy noises; Coupling; Gradient estimate; Ergodicity; DIFFERENTIAL-EQUATIONS DRIVEN; MULTIDIMENSIONAL DIFFUSIONS; EXPONENTIAL ERGODICITY; PATHWISE UNIQUENESS;
D O I
10.1016/j.spa.2019.09.001
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider SDEs driven by multiplicative pure jump Levy noises, where Levy processes are not necessarily comparable to alpha-stable-like processes. By assuming that the SDE has a unique strong solution, we obtain gradient estimates of the associated semigroup when the drift term is locally Holder continuous, and we establish the ergodicity of the process both in the L-1-Wasserstein distance and the total variation, when the coefficients are dissipative for large distances. The proof is based on a new explicit Markov coupling for SDEs driven by multiplicative pure jump Levy noises, which has been open for a long time in this area. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:3053 / 3094
页数:42
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