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Large Deviation Result for the Empirical Locality Measure of Typed Random Geometric Graphs

机译:键入随机几何图的经验位置测量的大偏差结果

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In? this? article for? a finite typed? random geometric graph we define the empirical locality distribution, which records the number of nodes of a given type linked to a given number of nodes of each type.? We find largedeviation principle (LDP) for the emph{ empirical locality measure}given the empirical pair measure and? the empirical type measure ofthe typed random geometric graphs. From this LDP, we derive largedeviation principles? for the emph{degree measure and the proportion of detached nodes} in the classical ErdH{o}s-R'{e}nyi graph defined on $[0, 1]^d.$ This graphs have been suggested by (Canning and Penman, 2003) as a possible extension to the randomly typed random graphs.
机译:在? 这? 文章? 有限的类型? 随机几何图我们定义了经验局部分布,它记录链接到每种类型的给定数量的给定类型的节点的数量。? 我们找到了 EMPH {经验位置测量}的基本原理(LDP)给定实证对措施和? 键入随机几何图的经验型测量。 从这个LDP,我们派生了大型原则? 对于 EMPH {度测量和分离节点的比例}在$ [0,1] ^ d中定义的经典ERD h {o} sr '{e}·{e} nyi图中。$以下建议此图( Canning和Penman,2003)作为随机类型随机图的可能扩展。

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