Ergodicity of Stochastic Hydrodynamical-Type Evolution Equations Driven by $$\alpha $$-Stable Noise

Autor: Jianhua Huang, Yuhong Li, Tianlong Shen
Rok vydání: 2020
Předmět:
Zdroj: Contemporary Approaches and Methods in Fundamental Mathematics and Mechanics ISBN: 9783030503017
DOI: 10.1007/978-3-030-50302-4_14
Popis: The present paper is devoted to the ergodicity of stochastic 2D hydro-dynamical-type evolution equation driven by \(\alpha \)-stable noise with \(\alpha \in (\frac{3}{2},2)\), which covers stochastic Navier–Stokes equation, magneto-hydrodynamic equation, Boussinesq equation, magnetic Benard equation and so on. The existence and uniqueness of the invariant measure of this stochastic system are established by the strong Feller property and accessibility of the transition semigroup. The novel to overcome those difficulties caused by the trajectory discontinuity and lower regularity of the corresponding Ornstein–Uhlenbeck process for \(\alpha \)-stable noise. As applications of the abstract result, the existence and uniqueness of the invariant measure for the stochastic Boussinesq equation and stochastic 2D Magneto-hydrodynamic equation are given.
Databáze: OpenAIRE