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首页> 外文期刊>Advances in applied probability >ON THE RELATION BETWEEN GRAPH DISTANCE AND EUCLIDEAN DISTANCE IN RANDOM GEOMETRIC GRAPHS
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ON THE RELATION BETWEEN GRAPH DISTANCE AND EUCLIDEAN DISTANCE IN RANDOM GEOMETRIC GRAPHS

机译:随机几何图形中图形距离与EUCLIDEAN距离之间的关系

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摘要

Given any two vertices u, v of a random geometric graph g(n, r), denote by d(E)(u, v) their Euclidean distance and by d(G)(u, v) their graph distance. The problem of finding upper bounds on d(G) (u, v) conditional on d(E) (u, v) that hold asymptotically almost surely has received quite a bit of attention in the literature. In this paper we improve the known upper bounds for values of r = omega(root log n) (that is, for r above the connectivity threshold). Our result also improves the best known estimates on the diameter of random geometric graphs. We also provide a lower bound on d(G)(u, v) conditional on d(E)(u, v).
机译:给定随机几何图形g(n,r)的任意两个顶点u,v,用d(E)(u,v)表示它们的欧几里得距离,用d(G)(u,v)表示它们的图形距离。在几乎肯定地渐近成立的d(E)(u,v)的条件下找到d(G)(u,v)的上限的问题在文献中引起了相当多的关注。在本文中,我们改善了r = omega(root log n)值(即,r高于连接性阈值)的已知上限。我们的结果还改进了关于随机几何图的直径的最著名的估计。我们还提供了以d(E)(u,v)为条件的d(G)(u,v)的下界。

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