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arXiv 1005.3053math.PR
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Absolutely Continuous补偿器

Absolutely Continuous Compensators

Svante Janson, Sokhna M'Baye, Philip Protter

摘要:

我们给出了基本过滤的充分条件,使得所有完全不可达的停时具有绝对连续的补偿器。如果一个半鞅强马尔可夫过程X表示为由Wiener过程、勒贝格测度和Poisson随机测度驱动的随机微分方程的解,则所有完全不可达停时的补偿器关于X生成的极小滤子是绝对连续的.然而,Cinlar和Jacod证明了所有的半鞅强马尔可夫过程,直到时间和空间的变化,都有这样的表示。

英文摘要:

We give sufficient conditions on the underlying filtration such that all totally inaccessible stopping times have compensators which are absolutely continuous. If a semimartingale, strong Markov process X has a representation as a solution of a stochastic differential equation driven by a Wiener process, Lebesgue measure, and a Poisson random measure, then all compensators of totally inaccessible stopping times are absolutely continuous with respect to the minimal filtration generated by X. However Cinlar and Jacod have shown that all semimartingale strong Markov processes, up to a change of time and space, have such a representation.

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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