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arXiv 1010.2106math.PR
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一类反射扩散的Dirichlet过程特征

A Dirichlet process characterization of a class of reflected diffusions

Weining Kang, Kavita Ramanan

摘要:

对于一类具有反射的随机微分方程,当$p>1$连续性条件满足时,证明了强马尔可夫过程的弱解可分解为局部鞅与连续的、适应的零$p$变差过程之和.当$p=2$时,这意味着反射扩散是狄利克雷过程。提供了两个例子来激励这样的表征。第一个例子是一类多维反射扩散的多面体圆锥域,出现作为近似的某些随机网络,第二个例子是一个家庭的二维反射扩散的弯曲域。在这两种情况下,反射扩散被证明是狄利克雷过程,但不是半鞅。

英文摘要:

For a class of stochastic differential equations with reflection for which a certain ${\mathbb{L}}^p$ continuity condition holds with $p>1$, it is shown that any weak solution that is a strong Markov process can be decomposed into the sum of a local martingale and a continuous, adapted process of zero $p$-variation. When $p=2$, this implies that the reflected diffusion is a Dirichlet process. Two examples are provided to motivate such a characterization. The first example is a class of multidimensional reflected diffusions in polyhedral conical domains that arise as approximations of certain stochastic networks, and the second example is a family of two-dimensional reflected diffusions in curved domains. In both cases, the reflected diffusions are shown to be Dirichlet processes, but not semimartingales.

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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