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Stochastic partial differential fluid equations as a diffusive limit of deterministic Lagrangian multi-time dynamics

机译:随机偏微分流体方程作为确定性拉格朗日多重动力学的扩散极限

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摘要

In Holm (Holm 2015 Proc. R. Soc. A >471, 20140963. ()), 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.
机译:在霍尔姆(Holm 2015 Proc。R. Soc。A > 471 ,20140963.())中,通过采用具有随机拉格朗日粒子动力学假设的变分原理,推导了随机流体方程。在这里,我们表明,相同的随机拉格朗日动力学自然发生在确定性拉格朗日流图的多尺度分解为缓慢的大尺度均值和快速波动的小尺度图上。我们采用均质化理论,为分解后的平均部分推导有效的慢速随机粒子动力学,从而获得欧拉公式中的随机流体偏分方程。为了证明严格的均质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对中条件。后者要求当拉回到平均流量时,波动偏差的平均值较小。

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