Publication Cover
Applicable Analysis
An International Journal
Volume 101, 2022 - Issue 2
189
Views
3
CrossRef citations to date
0
Altmetric
Articles

Existence and uniqueness of invariant measures of 3D stochastic MHD-α model driven by degenerate noise

Pages 629-654 | Received 27 Feb 2019, Accepted 08 Apr 2020, Published online: 24 Apr 2020
 

ABSTRACT

In this paper, we establish the existence and uniqueness of invariant measures of the 3D stochastic magnetohydrodynamic-α model (MHD-α) driven by degenerate additive noise. We firstly study the Feller property of solutions and establish the existence of invariant measures by utilizing the classical Krylov–Bogoliubov theorem. Then, we prove the uniqueness of invariant measures for the corresponding transition semigroup by utilizing the notion of asymptotic strong Feller proposed by Hairer and Mattingly [Ergodicity of the 2D Navier–Stokes equations with degenerate stochastic forcing. Ann Math (2). 2006;164(3):993–1032]. The proof not only requires the investigation of degenerate noise, but also the study of highly nonlinear, unbounded drifts.

2010 Mathematics Subject Classifications:

Acknowledgments

This work was partly supported by National Natural Science Foundation of China (NSFC) (No. 11801032), Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences(No. 2008DP173182), China Postdoctoral Science Foundation funded project (No. 2018M641204).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was partly supported by National Natural Science Foundation of China (NSFC) [grant number 11801032], NSFC [grant number 11971227], and Beijing Institute of Technology Research Fund Program for Young Scholars. Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences [grant number 2008DP173182], China Postdoctoral Science Foundation funded project [grant number 2018M641204].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,361.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.