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arXiv 0804.3037math.PRmath.STstat.TH
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某些一维过程的绝对连续性

Absolute continuity for some one-dimensional processes

Nicolas Fournier, Jacques Printems

摘要:

本文介绍一种证明一维过程时间边缘绝对连续性的初等方法。它是基于这样的时间边缘的傅里叶变换与基本过程的一步欧拉近似之间的比较。我们得到了具有Hölder连续系数的随机微分方程的一些绝对连续性结果.此外,我们允许这样的系数是随机的,并依赖于整个路径的解决方案。我们还展示了它如何可以扩展到一些随机偏微分方程和一些Lévy驱动的随机微分方程。在所研究的情况下,不能使用Malliavin演算,因为解通常不是Malliavin可微的。

英文摘要:

We introduce an elementary method for proving the absolute continuity of the time marginals of one-dimensional processes. It is based on a comparison between the Fourier transform of such time marginals with those of the one-step Euler approximation of the underlying process. We obtain some absolute continuity results for stochastic differential equations with Hölder continuous coefficients. Furthermore, we allow such coefficients to be random and to depend on the whole path of the solution. We also show how it can be extended to some stochastic partial differential equations and to some Lévy-driven stochastic differential equations. In the cases under study, the Malliavin calculus cannot be used, because the solution in generally not Malliavin differentiable.

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