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引用次数: 0
摘要
我们为以勒维树为索引的马尔可夫过程构建了一个加法函数,该函数在定点 x 上扮演局部时间的角色。首先,我们要证明由列维树索引的马尔可夫过程满足一种特殊的马尔可夫性质,这种性质可以看作是经典马尔可夫性质的空间版本。然后,我们通过一个近似过程来构建我们的加法函数,并描述其 Lebesgue-Stieltjes 度量的支持。我们还给出了出口局部时间特殊族的等效构造。最后,结合这些结果,我们证明马尔可夫过程取值 x 的点编码了一棵新的莱维树,并明确构建了其高度过程。特别是,我们恢复了勒加利关于布朗树的从属树的最新结果,其中从属函数是由布朗树索引的布朗运动过去最大过程给出的。
The structure of the local time of Markov processes indexed by Lévy trees
We construct an additive functional playing the role of the local time—at a fixed point x—for Markov processes indexed by Lévy trees. We start by proving that Markov processes indexed by Lévy trees satisfy a special Markov property which can be thought as a spatial version of the classical Markov property. Then, we construct our additive functional by an approximation procedure and we characterize the support of its Lebesgue-Stieltjes measure. We also give an equivalent construction in terms of a special family of exit local times. Finally, combining these results, we show that the points at which the Markov process takes the value x encode a new Lévy tree and we construct explicitly its height process. In particular, we recover a recent result of Le Gall concerning the subordinate tree of the Brownian tree where the subordination function is given by the past maximum process of Brownian motion indexed by the Brownian tree.
期刊介绍:
Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.