系数为一阶混沌的线性Skorohod SDE解的泛函计算

A. D. Egorov
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引用次数: 0

摘要

本文从系数和初始条件为一阶混沌的线性Skorohod方程的解出发,研究了非线性泛函数学期望的精确近似计算。在[1-4]中,提出并研究了从具有随机初始条件和确定性系数函数的线性Skorohod随机微分方程的解计算泛函数学期望的近似方法。本文从系数和初始条件为一阶混沌的线性Skorohod方程的解出发,考虑了非线性泛函数学期望的计算。在这种情况下,解的解析形式为[5];然而,它包含一个未知的随机参数,确定为一个辅助积分随机方程的解。本文研究了该积分方程的解以显式形式存在的情况,并从初始Skorohod方程的解出发,计算了某些类型泛函的矩和数学期望。考虑了从解中计算更一般的非线性泛函的近似公式的构造。数值算例说明了所得公式的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the calculation of functionals from the solution of the linear Skorohod SDE with first-order chaos in the coefficients
This article is devoted to the precise and approximate calculation of the mathematical expectation of non-linear functionals from the solution of the linear Skorohod equation with first-order chaos in the coefficients and the initial condition. In [1–4], approximate methods for calculating the mathematical expectation of functionals from solutions of the linear Skorohod stochastic differential equation with a random initial condition and deterministic coefficient functions were proposed and investigated. This paper considers the calculation of the mathematical expectation of nonlinear functionals from the solution to the linear Skorohod equation with first-order chaos in the coefficients and the initial condition. In this case, the solution is obtained in an analytical form [5]; however, it contains an unknown random parameter, determined as the solution of an auxiliary integral stochastic equation. In this paper we investigate the cases when the solution of this integral equation is found in an explicit form and then evaluate the moments and the mathematical expectations of some types of functional from the solution of the initial Skorohod equation. The construction of approximate formulas for calculating more general nonlinear functionals from the solution is considered. Numerical examples are given to illustrate the accuracy of the obtained formulas.
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