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Hausdorff Sub-norm Spaces and Continuity of Random Attractors for Bi-stochastic g-Navier–Stokes Equations with Respect to Tempered Forces
Journal of Dynamics and Differential Equations ( IF 1.4 ) Pub Date : 2021-06-16 , DOI: 10.1007/s10884-021-10026-0
Yangrong Li , Shuang Yang

We study the continuity of pullback random attractors \(A_\lambda \), where the parameter belongs to a complete metric space \(\Lambda \). By a Hausdorff sub-norm space, we mean the collection of all nonempty compact subsets of the state space, equipped by the Hausdorff metric as well as a sub-norm. Under weaker conditions, we prove that the binary map \((\lambda , s)\rightarrow A_\lambda (s,\theta _s\omega )\) is continuous at all points of \(\Lambda ^*\times {\mathbb {R}}\) with respect to the Hausdorff metric, where \(\Lambda ^*\) is residual and dense in \(\Lambda \), and that the binary map is continuous under the sub-norm if and only if each fibre of attractors is a point. The proofs of these results are based on the discussion of continuous operators on the Hausdorff sub-norm space as well as the theory of Baire category. For the g-Navier–Stokes equation driven by random density, stochastic noise and time-dependent forces, we establish the residual continuity and full upper semi-continuity of pullback random attractors on the Fréchet space formed from all backward tempered forces.



中文翻译:

关于回火力的双随机 g-Navier-Stokes 方程的 Hausdorff 子范数空间和随机吸引子的连续性

我们研究了回拉随机吸引子\(A_\lambda \)的连续性,其中参数属于一个完整的度量空间\(\Lambda \)。Hausdorff 子范数空间是指状态空间的所有非空紧致子集的集合,由 Hausdorff 度量以及子范数配备。在较弱的条件下,我们证明了二元映射\((\lambda , s)\rightarrow A_\lambda (s,\theta _s\omega )\)\(\Lambda ^*\times {\ mathbb {R}}\)关于 Hausdorff 度量,其中\(\Lambda ^*\)是残差且在\(\Lambda \),并且二值映射在子范数下是连续的,当且仅当每个吸引子纤维都是一个点。这些结果的证明基于对 Hausdorff 子范数空间上的连续算子的讨论以及 Baire 范畴理论。对于由随机密度、随机噪声和时间相关力驱动的 g-Navier-Stokes 方程,我们在由所有反向回火力形成的 Fréchet 空间上建立了回拉随机吸引子的剩余连续性和完全上半连续性。

更新日期:2021-06-17
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