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arXiv 0712.2637math.PR
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关于到达高水平条件下的随机游动的极限律

On the Limit Law of a Random Walk Conditioned to Reach a High Level

Sergey G. Foss, Anatolii A. Puhalskii

摘要:

本文考虑一个负漂移和跳跃分布的随机游动,它在Cramér测度变换下属于谱正稳定律的吸引区域.如果条件达到一个高的水平和适当的缩放,这个随机游动的法律收敛到一个非递减的马尔可夫过程,可以解释为一个频谱积极的Lévy %-Khinchin过程的条件不超过一级。

英文摘要:

We consider a random walk with a negative drift and with a jump distribution which under Cramér's change of measure belongs to the domain of attraction of a spectrally positive stable law. If conditioned to reach a high level and suitably scaled, this random walk converges in law to a nondecreasing Markov process which can be interpreted as a spectrally-positive Lévy %-Khinchin process conditioned not to overshoot level one.

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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