CN

Shuang Yangyangshuang

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  • Professional Title:Other
  • Gender:Female
  • Status:Post-doctoral
  • Department:School of Mathematics and Statistics
  • Education Level:Postgraduate (Doctoral)

Paper Publications

Current position: Home > Scientific Research > Paper Publications

Invariant measures for stochastic 3D Lagrangian-averaged Navier–Stokes equations with infinite delay

Release time:2022-12-08
Hits:
Document Code:
107004
First Author:
Shuang Yang
Journal:
Communications in Nonlinear Science and Numerical Simulation
Included Journals:
SCI
Place of Publication:
NETHERLANDS
Document Type:
J
Volume:
118
Key Words:
Stochastic 3D Lagrangian-averaged Navier-Stokes equations; Infinite delay; Random attractors; Invariant measures; Generalized Banach limit
DOI number:
10.1016/j.cnsns.2022.107004
Abstract:
In this paper we investigate stochastic dynamics and invariant measures for stochastic 3D Lagrangian-averaged Navier-Stokes (LANS) equations driven by infinite delay and additive noise. We first use Galerkin approximations, a priori estimates and the standard Gronwall lemma to show the well-posedness for the corresponding random equation, whose solution operators generate a random dynamical system. Next, the asymptotic compactness for the random dynamical system is established via the Ascoli-Arzelà theorem. Besides, we derive the existence of a global random attractor for the random dynamical system. Moreover, we prove that the random dynamical system is bounded and continuous with respect to the initial values. Eventually, we construct a family of invariant Borel probability measures, which is supported by the global random attractor.
Links to published journals:
https://www.sciencedirect.com/science/article/pii/S1007570422004919?dgcid=author