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arXiv 1304.2019math.PR
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空间依赖超临界超过程的骨架分解

The backbone decomposition for spatially dependent supercritical superprocesses

A. E. Kyprianou, J-L. Perez, Y-X. Ren

摘要:

考虑任何可能以正概率灭绝的超临界Galton-Watson过程。这是一个很好理解和直观明显的现象,在生存集上,该过程可以按路径分解为随机的“更薄”的Galton-Watson过程,该过程几乎肯定会生存,并且在每个时间步都用移民装饰,启动原始Galton-Watson过程的独立副本,条件是灭绝。较薄的过程被称为骨干,并在原始过程中表现出多产个体的谱系血统。在这里,多产意味着每个后代中至少有一个后代的个体。从Evans和O 'Connell开始,有一系列文献描述了这种分解(所谓的骨干分解)对各种不同类别的超过程和连续状态分支过程的模拟。注意,后一类随机过程可以看作是具有非空间依赖分支机制的超过程的总质量过程。在这篇文章中,我们巩固了上述收集有关骨干分解的结果,并描述了一个结果的一般类的超临界超过程与空间相关的分支机制。我们的方法暴露了文献中许多现有论点的共性和鲁棒性。

英文摘要:

Consider any supercritical Galton-Watson process which may become extinct with positive probability. It is a well-understood and intuitively obvious phenomenon that, on the survival set, the process may be pathwise decomposed into a stochastically `thinner' Galton-Watson process, which almost surely survives and which is decorated with immigrants, at every time step, initiating independent copies of the original Galton-Watson process conditioned to become extinct. The thinner process is known as the backbone and characterizes the genealogical lines of descent of prolific individuals in the original process. Here, prolific means individuals who have at least one descendant in every subsequent generation to their own. Starting with Evans and O'Connell, there exists a cluster of literature describing the analogue of this decomposition (the so-called backbone decomposition) for a variety of different classes of superprocesses and continuous-state branching processes. Note that the latter family of stochastic processes may be seen as the total mass process of superprocesses with non-spatially dependent branching mechanism. In this article we consolidate the aforementioned collection of results concerning backbone decompositions and describe a result for a general class of supercritical superprocesses with spatially dependent branching mechanisms. Our approach exposes the commonality and robustness of many of the existing arguments in the literature.

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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