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具有乘性噪声的随机方程的对称路径积分

Symmetric path integrals for stochastic equations with multiplicative noise.

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):6099-102. doi: 10.1103/physreve.61.6099.

DOI:10.1103/physreve.61.6099
PMID:11088282
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. I show how to convert such equations into path integrals. The definition of the path integral depends crucially on the convention used for discretizing time, and I specifically derive the correct path integral when the convention used is the natural, time-symmetric one whose time derivatives are (q(t)-q(t-Deltat))/Deltat and coordinates are (q(t)+q(t-Deltat))/2. (This is the convention that permits standard manipulations of calculus on the action, like naive integration by parts.) It has sometimes been assumed in the literature that a Stratonovich Langevin equation can be quickly converted to a path integral by treating time as continuous but using the rule straight theta(t=0)=1 / 2. I show that this prescription fails when the amplitude e(q) is q dependent.

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) 依赖于q 本身。我展示了如何将此类方程转化为路径积分。路径积分的定义关键取决于用于离散时间的约定,并且我特别推导了在使用自然的、时间对称的约定(其时导数为(q(t) - q(t - Δt))/Δt 且坐标为(q(t) + q(t - Δt))/2)时正确的路径积分。(正是这个约定允许对作用量进行标准的微积分操作,比如朴素的分部积分。)文献中有时假定,通过将时间视为连续但使用规则θ(t = 0) = 1/2,斯特拉托诺维奇朗之万方程可以快速转化为路径积分。我表明,当幅度e(q) 依赖于q 时,这个规定是失败的。

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