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Approximation of Random Slow Manifolds and Settling of Inertial Particles Under Uncertainty

机译:不确定性下随机慢流形的逼近和惯性粒子的沉降

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摘要

A method is provided for approximating random slow manifolds of a class of slow-fast stochastic dynamical systems. Thus approximate, low dimensional, reduced slow systems are obtained analytically in the case of sufficiently large time scale separation. To illustrate this dimension reduction procedure, the impact of random environmental fluctuations on the settling motion of inertial particles in a cellular flow field is examined. It is found that noise delays settling for some particles but enhances settling for others. A deterministic stable manifold is an agent to facilitate this phenomenon. Overall, noise appears to delay the settling in an averaged sense.
机译:提供了一种用于近似一类慢速-随机随机动力系统的随机慢流形的方法。因此,在足够大的时间刻度分离的情况下,通过分析可获得近似的低维,减慢的慢速系统。为了说明此降维过程,我们检查了随机环境波动对细胞流场中惯性粒子沉降运动的影响。发现噪声延迟了对某些粒子的沉降,但是增强了对其他粒子的沉降。确定性稳定歧管是促进此现象的媒介。总体而言,噪声似乎在平均意义上延缓了沉降。

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