Cotter C J, Gottwald G A, Holm D D
Department of Mathematics, Imperial College, London, UK.
School of Mathematics and Statistics, University of Sydney, Sydney, Australia.
Proc Math Phys Eng Sci. 2017 Sep;473(2205):20170388. doi: 10.1098/rspa.2017.0388. Epub 2017 Sep 20.
In Holm (Holm 2015 , 20140963. (doi:10.1098/rspa.2014.0963)), stochastic fluid equations were derived by employing a variational principle with an assumed stochastic Lagrangian particle dynamics. Here we show that the same stochastic Lagrangian dynamics naturally arises in a multi-scale decomposition of the deterministic Lagrangian flow map into a slow large-scale mean and a rapidly fluctuating small-scale map. We employ homogenization theory to derive effective slow stochastic particle dynamics for the resolved mean part, thereby obtaining stochastic fluid partial equations in the Eulerian formulation. To justify the application of rigorous homogenization theory, we assume mildly chaotic fast small-scale dynamics, as well as a centring condition. The latter requires that the mean of the fluctuating deviations is small, when pulled back to the mean flow.
在霍尔姆(《皇家学会学报A》2015年,20140963.(doi:10.1098/rspa.2014.0963))的研究中,通过采用带有假定随机拉格朗日粒子动力学的变分原理推导出了随机流体方程。在此我们表明,相同的随机拉格朗日动力学自然地出现在确定性拉格朗日流映射的多尺度分解中,该分解为一个缓慢的大尺度均值和一个快速波动的小尺度映射。我们运用均匀化理论为解析后的均值部分推导出有效的慢随机粒子动力学,从而在欧拉表述中得到随机流体偏微分方程。为了证明严格均匀化理论的应用合理性,我们假设存在轻度混沌的快速小尺度动力学以及一个中心化条件。后者要求当波动偏差被拉回到平均流时,其均值较小。