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Symmetries of first-order stochastic ordinary differential equations revisited

机译:再谈一阶随机常微分方程的对称性

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摘要

Symmetries of stochastic ordinary differential equations (SODEs) are analysed. This work focuses on maintaining the properties of the Weiner processes after the application of infinitesimal transformations. The determining equations (DEs) for first-order SODEs are derived in an Ito calculus context. These DEs are non-stochastic. This article reconciles earlier works in this area. Copyright (c) 2007 John Wiley & Sons, Ltd.
机译:分析了随机常微分方程(SODE)的对称性。这项工作的重点是在应用无穷小变换后保持Weiner过程的属性。一阶SODE的确定方程(DE)是在Ito微积分上下文中得出的。这些DE是非随机的。本文协调了该领域的早期工作。版权所有(c)2007 John Wiley&Sons,Ltd.

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