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arXiv math/0603295math.APmath.PR
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随机受迫PDE解的分布的有限维投影

On finite-dimensional projections of distributions for solutions of randomly forced PDE's

Andrei Agrachev, Sergei Kuksin, Andrey Sarychev, Armen Shirikyan

摘要:

本文研究了有限维解析映射下希尔伯特空间上的概率测度的象。建立了测度的象关于勒贝格测度有密度且连续依赖于映射的充分条件。所得结果应用于二维Navier-斯托克斯方程受各种低维随机力扰动的问题。

英文摘要:

The paper is devoted to studying the image of probability measures on a Hilbert space under finite-dimensional analytic maps. We establish sufficient conditions under which the image of a measure has a density with respect to the Lebesgue measure and continuously depends on the map. The results obtained are applied to the 2D Navier--Stokes equations perturbed by various random forces of low dimension.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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