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首页> 外文期刊>Information Theory, IEEE Transactions on >One-Dimensional Geometric Random Graphs With Nonvanishing Densities—Part I: A Strong Zero-One Law for Connectivity
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One-Dimensional Geometric Random Graphs With Nonvanishing Densities—Part I: A Strong Zero-One Law for Connectivity

机译:密度不变的一维几何随机图-第一部分:连通性的强零一定律

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摘要

We consider a collection of $n$ independent points which are distributed on the unit interval $[0,1]$ according to some probability distribution function $F$. Two nodes are said to be adjacent if their distance is less than some given threshold value. When $F$ admits a nonvanishing density $f$ , we show under a weak continuity assumption on $f$ that the property of graph connectivity for the induced geometric random graph exhibits a strong zero-one law, and we identify the corresponding critical scaling. This is achieved by generalizing to nonuniform distributions a limit result obtained by LÉvy for maximal spacings under the uniform distribution.
机译:我们考虑了$ n $个独立点的集合,这些点根据某些概率分布函数$ F $分布在单位间隔$ [0,1] $上。如果两个节点的距离小于某个给定的阈值,则称它们为相邻节点。当$ F $接受不消失的密度$ f $时,我们证明了在$ f $的弱连续性假设下,诱导的几何随机图的图连通性具有很强的零一定律,并且我们确定了相应的临界比例。这是通过将Lévy对于均匀分布下最大间距的极限结果推广为非均匀分布而实现的。

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