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Weak convergence of random p-mappings and the exploration process of inhomogeneous continuum random trees

机译:随机p映射的弱收敛和不均匀连续统随机树的探索过程

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摘要

We study the asymptotics of the p-mapping model of random mappings on [n] as n gets large, under a large class of asymptotic regimes for the underlying distribution p. We encode these random mappings in random walks which are shown to converge to a functional of the exploration process of inhomogeneous random trees, this exploration process being derived (Aldous-Miermont-Pitman 2004) from a bridge with exchangeable increments. Our setting generalizes previous results by allowing a finite number of “attracting points” to emerge.
机译:我们研究了在n为基础分布的一大类渐近状态下,随着n变大,[n]上的随机映射的p映射模型的渐近性。我们在随机游走中对这些随机映射进行编码,这表明它们收敛于非均质随机树的探索过程的功能,这种探索过程是从具有可交换增量的桥派生的(Aldous-Miermont-Pitman 2004)。我们的设置通过允许出现有限数量的“吸引力”来概括以前的结果。

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