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arXiv 2007.09376math.AP
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一般无界域上的随机对流Brinkman-Forchheimer方程

Stochastic convective Brinkman-Forchheimer equations on general Unbounded Domains

Kush Kinra, Manil T. Mohan

AI总结:

本文研究了无界域或环面上受乘性高斯噪声扰动的随机对流Brinkman-Forchheimer方程,利用算子单调性与随机Minty-Browder技巧证明了满足能量等式的依轨道唯一强解的存在性,并探讨了解的全局正则性、指数稳定性及不变测度的遍历性。

摘要:

本文研究了开放连通集 $\mathcal{O}\subseteq\mathbb{R}^d$($d\in \{2,3,4\}$)或环面上的随机对流Brinkman-Forchheimer (SCBF) 方程。我们证明了受乘性高斯噪声扰动的SCBF方程存在满足能量等式(Itô公式)的依轨道唯一强解(概率意义上)。在证明中,我们利用了线性和非线性算子的单调性以及Minty-Browder技巧的随机推广。通过使用构成紧算子特征空间元素的近似函数对解进行逼近,使得近似解有界且同时在Sobolev和Lebesgue空间中收敛,从而获得能量等式。我们进一步讨论了此类强解在环面上的时间全局正则性结果。本文还针对大有效粘性建立了平稳解的指数稳定性结果(均方意义和依轨道意义)。此外,获得了利用乘性噪声实现随机对流Brinkman-Forchheimer方程稳定化的结果。最后,当 $\mathcal{O}$ 为有界域时,利用强解的指数稳定性,我们证明了带乘性高斯噪声的SCBF方程存在唯一的不变测度,该测度同时具有遍历性和强混合性。

英文摘要:

The stochastic convective Brinkman-Forchheimer (SCBF) equations in an open connected set $\mathcal{O}\subseteq\mathbb{R}^d$ ($d\in \{2,3,4\}$) or torus are considered in this work. We show the existence of a pathwise unique strong solution (in the probabilistic sense) satisfying the energy equality (Itô formula) to SCBF equations perturbed by multiplicative Gaussian noise. We exploited a monotonicity property of the linear and nonlinear operators as well as a stochastic generalization of the Minty-Browder technique in the proofs. The energy equality is obtained by approximating the solution using approximate functions constituting the elements of eigenspaces of a compact operator in such a way that the approximations are bounded and converge in both Sobolev and Lebesgue spaces simultaneously. We further discuss the global in time regularity results of such strong solutions on the torus. The exponential stability results (in mean square and pathwise sense) for the stationary solutions is also established in this work for large effective viscosity. Moreover, a stabilization result of the stochastic convective Brinkman-Forchheimer equations by using a multiplicative noise is obtained. Finally, when $\mathcal{O}$ is a bounded domain, we establish the existence of a unique invariant measure for the SCBF equations with multiplicative Gaussian noise, which is both ergodic and strongly mixing, using the exponential stability of strong solutions.

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