Acta mathematica scientia,Series A ›› 2023, Vol. 43 ›› Issue (2): 531-548.

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Backward $W$-compact Mean Dynamics for Stochastic ${g}$-Navier-Stokes Equations with Nonlinear Noise

Li Yangrong(),Wang Fengling(),Yang Shuang()   

  1. School of Mathematics and Statistics, Southwest University, Chongqing 400715
  • Received:2021-08-02 Revised:2022-09-28 Online:2023-04-26 Published:2023-04-17
  • Supported by:
    NSFC(12271444)

Abstract:

We study the mean dynamics for the stochastic 2D $g$-Navier-Stokes matrix driven by infinitely dimensional cylindrical noise with a nonlinear diffusion term and a time-dependent external force. We first obtain a mean random dynamical system if the nonlinear diffusion term is Lipschtz continuous and the force is locally integrable. We then show that the mean RDS possesses a unique mean pullback weak attractor in the Bochner space of even power if the force is also tempered. Moreover, by using the monotonicity of Bochner spaces with respect to the time, we show that the backward union of the mean pullback w-attractor is well-defined and weakly compact in progressive Bochner spaces if the force is backward tempered. We finally provide three examples of backward $w$-compact $w$-attractors when the force is null, periodic or increasing, respectively.

Key words: Mean pullback $w$-attractor, $g$-Navier-Stokes matrix, Nonlinear noise, Bochner spaces, Backward $w$-compactness

CLC Number: 

  • O211.4
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