在随机几何图中嵌入平衡生成树的锐阈值

Pub Date : 2024-05-09 DOI:10.1002/jgt.23106
Alberto Espuny Díaz, Lyuben Lichev, Dieter Mitsche, Alexandra Wesolek
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引用次数: 0

摘要

如果一个顶点的度数只取决于它到根的距离,那么这棵有根树就是平衡的。在本文中,我们确定了在随机几何图形中出现平衡生成树大家族的尖锐阈值。特别是,我们找到了平衡二叉树的尖锐阈值。更一般地说,我们证明了所有度数均匀有界且高度趋于无穷大的平衡树序列都会出现在一个尖锐阈值之上,而没有一个序列会出现在同一值之下。我们的结果更普遍地适用于满足顶点集分布的温和条件的几何图形,我们还提供了一种多项式时间算法来寻找这样的树。
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Sharp threshold for embedding balanced spanning trees in random geometric graphs

A rooted tree is balanced if the degree of a vertex depends only on its distance to the root. In this paper we determine the sharp threshold for the appearance of a large family of balanced spanning trees in the random geometric graph G ( n , r , d ) ${\mathscr{G}}(n,r,d)$ . In particular, we find the sharp threshold for balanced binary trees. More generally, we show that all sequences of balanced trees with uniformly bounded degrees and height tending to infinity appear above a sharp threshold, and none of these appears below the same value. Our results hold more generally for geometric graphs satisfying a mild condition on the distribution of their vertex set, and we provide a polynomial time algorithm to find such trees.

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