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The Smoluchowski-Kramers Limit of Stochastic Differential Equations with Arbitrary State-Dependent Friction

机译:具有任意状态相关摩擦的随机微分方程的Smoluchowski-Kramers极限

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摘要

We study a class of systems of stochastic differential equations describing diffusive phenomena. The Smoluchowski-Kramers approximation is used to describe their dynamics in the small mass limit. Our systems have arbitrary state-dependent friction and noise coefficients. We identify the limiting equation and, in particular, the additional drift term that appears in the limit is expressed in terms of the solution to a Lyapunov matrix equation. The proof uses a theory of convergence of stochastic integrals developed by Kurtz and Protter. The result is sufficiently general to include systems driven by both white and Ornstein-Uhlenbeck colored noises. We discuss applications of the main theorem to several physical phenomena, including the experimental study of Brownian motion in a diffusion gradient.
机译:我们研究了一类描述扩散现象的随机微分方程组。 Smoluchowski-Kramers逼近用于描述其在小质量极限内的动力学。我们的系统具有随状态变化的任意摩擦系数和噪声系数。我们确定极限方程,尤其是出现在极限中的附加漂移项用Lyapunov矩阵方程的解表示。该证明使用了Kurtz和Protter提出的随机积分收敛理论。结果足够笼统,可以包括由白噪声和Ornstein-Uhlenbeck彩色噪声驱动的系统。我们讨论了主定理在几种物理现象上的应用,包括扩散梯度中布朗运动的实验研究。

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