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具有乘性噪声的朗之万方程:平衡系统时间离散模糊性的解决方法

Langevin equations with multiplicative noise: resolution of time discretization ambiguities for equilibrium systems.

作者信息

Arnold P

机构信息

Department of Physics, University of Virginia, Charlottesville, Virginia 22901, USA.

出版信息

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Jun;61(6 Pt A):6091-8. doi: 10.1103/physreve.61.6091.

DOI:10.1103/physreve.61.6091
PMID:11088281
Abstract

A Langevin equation with multiplicative noise is an equation schematically of the form dq/dt=-F(q)+e(q)xi, where e(q)xi is Gaussian white noise whose amplitude e(q) depends on q itself. Such equations are ambiguous, and depend on the details of one's convention for discretizing time when solving them. I show that these ambiguities are uniquely resolved if the system has a known equilibrium distribution exp[-V(q)/T] and if, at some more fundamental level, the physics of the system is reversible. I also discuss a simple example where this happens, which is the small frequency limit of Newton's equation &quml;+e(2)(q)&qdot;=-nablaV(q)+e(-1)(q)xi with noise and a q-dependent damping term. The resolution does not correspond to simply interpreting naive continuum equations in a standard convention, such as Stratonovich or Itoinsertion mark.

摘要

一个带有乘性噪声的朗之万方程是一个形式上大致为dq/dt = -F(q) + e(q)ξ的方程,其中e(q)ξ是高斯白噪声,其幅度e(q)取决于q本身。这类方程具有模糊性,并且在求解时依赖于离散时间的具体约定细节。我表明,如果系统具有已知的平衡分布exp[-V(q)/T],并且在某些更基本的层面上系统的物理过程是可逆的,那么这些模糊性就能得到唯一解决。我还讨论了一个发生这种情况的简单例子,即牛顿方程&quml; + e(2)(q)&qdot; = -∇V(q) + e(-1)(q)ξ带有噪声和一个依赖于q的阻尼项的小频率极限情况。这种解决方式并不等同于简单地按照标准约定(如斯特拉托诺维奇或伊藤约定)来解释朴素的连续统方程。

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