arXiv Analytics

Sign in

arXiv:1710.07902 [math.PR]AbstractReferencesReviewsResources

Exponential Mixing for SDEs under the total variation

Xuhui Peng

Published 2017-10-22Version 1

First, we establish an abstract ergodic result on $\mR^d$. Classical ergodic results on $\mR^d$ require that the process is irreducible, we weaken it to some weak form of irreducibility in this article. The main method used in this article is coupling. Then, we apply our abstract ergodic result to stochastic differential equations driven by a L\'evy noise and obtain a new result.

Related articles: Most relevant | Search more
arXiv:1005.3483 [math.PR] (Published 2010-05-19)
Small-time kernel expansion for solutions of stochastic differential equations driven by fractional Brownian motions
arXiv:1810.07504 [math.PR] (Published 2018-10-17)
Existence of densities for stochastic differential equations driven by Lévy processes with anisotropic jumps
arXiv:1801.03776 [math.PR] (Published 2018-01-10)
Exponential Stability of Solutions to Stochastic Differential Equations Driven by G-Levy Process