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A closed form approximation and error quantification for the response transition probability density function of a class of stochastic differential equations

机译:一类随机微分方程响应跃迁概率密度函数的闭式近似和误差量化

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A closed-form analytical approximation is derived for the response transition probability density function (PDF) of a certain class of stochastic differential equations with constant drift and nonlinear diffusion coefficients. This is done by resorting to a recently developed Wiener path integral based technique (WPI) in conjunction with a Cauchy-Schwarz inequality treatment of the problem. The derived approximation can be used, due to its analytical nature, as a direct SDE response PDF estimate that requires zero computational effort for its determination. Further, it facilitates an error quantification analysis, which yields an a priori estimate of the anticipated accuracy obtained by applying the approximate methodology. The reliability of the approximation is demonstrated via several engineering mechanics/dynamics related numerical examples pertaining to the stochastic beam bending problem, as well as to the response determination of stochastically excited nonlinear oscillators. (C) 2017 Elsevier Ltd. All rights reserved.
机译:对于具有恒定漂移和非线性扩散系数的一类随机微分方程的响应跃迁概率密度函数(PDF),得出了一种封闭形式的解析近似。这是通过使用最近开发的基于Wiener路径积分的技术(WPI)以及对该问题的Cauchy-Schwarz不等式处理来完成的。由于其近似的分析性质,可以将得出的近似值用作直接的SDE响应PDF估计值,该估计值需要零计算量即可确定。此外,它还有助于进行误差量化分析,从而可以通过应用近似方法得出对预期精度的先验估计。通过与随机束弯曲问题以及随机激发非线性振荡器的响应确定有关的几个工程力学/动力学相关的数值示例,证明了逼近的可靠性。 (C)2017 Elsevier Ltd.保留所有权利。

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