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arXiv math-ph/0401025math-phmath.MP
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随机方程的对称性

Symmetry of stochastic equations

Giuseppe Gaeta

摘要:

对称性方法现在被认为是攻击确定性微分方程(常微分方程和偏微分方程)的主要工具之一;对于随机微分方程来说,情况完全不同:在这里,对称性考虑当然被理论物理学家广泛使用,但仍然缺乏与确定性方程相比的严格和一般的理论。在下面,我将报告我在随机(伊藤)方程的对称性方面所做的一些工作,以及这些对称性与相关扩散(福克-普朗克)方程的对称性的比较。

英文摘要:

Symmetry methods are by now recognized as one of the main tools to attack deterministic differential equations (both ODEs and PDEs); the situation is quite different for what concerns stochastic differential equations: here, symmetry considerations are of course quite widely used by theoretical physicists, but a rigorous and general theory comparable to the one developed for deterministic equation is still lacking. In the following I will report on some work I have done on symmetries of stochastic (Ito) equations, and how these compare with the symmetries of the associated diffusion (Fokker-Planck) equations.

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