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arXiv 2504.15212math.COmath.FAmath.MGmath.PR
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树的几何嵌入的通用阈值

A universal threshold for geometric embeddings of trees

Carnegie Mellon University(卡内基梅隆大学);University of Athens(雅典大学)

Dylan J. Altschuler, Pandelis Dodos, Konstantin Tikhomirov, Konstantinos Tyros

AI总结:

研究提出树在规范空间中嵌入的通用阈值,表明最大度数受限的树可嵌入高维空间,而完整树则无法嵌入低维空间,与谱扩张器和随机图形成对比。

摘要:

一个图$G=(V,E)$可以几何嵌入到规范空间$X$中,当且仅当存在映射$ζ: V→X$,使得$\|ζ(v)-ζ(w)\|_X≤1$当且仅当$\{v,w\}∈E$,对于所有不同的$v,w∈V$。我们的结果是一个通用阈值,表明对于Δ≥3,当N足够大时,每个具有最大度数至多Δ的N顶点树可嵌入任何维度至少为64$\frac{\log N}{\log\log N}$的规范空间,而完整树无法嵌入任何维度小于$\frac{1}{2}$$\frac{\log N}{\log\log N}$的规范空间。与谱扩张器和随机图在子对数维度不可嵌入形成鲜明对比。我们的结果基于一种随机嵌入,其分析利用了Bourgain切片问题的最新突破。

英文摘要:

A graph $G=(V,E)$ is geometrically embeddable into a normed space $X$ when there is a mapping $ζ: V\to X$ such that $\|ζ(v)-ζ(w)\|_X\leqslant 1$ if and only if $\{v,w\}\in E$, for all distinct $v,w\in V$. Our result is the following universal threshold for the embeddability of trees. Let $Δ\geqslant 3$, and let $N$ be sufficiently large in terms of $Δ$. Every $N$--vertex tree of maximal degree at most $Δ$ is embeddable into any normed space of dimension at least $64\,\frac{\log N}{\log\log N}$, and complete trees are non-embeddable into any normed space of dimension less than $\frac{1}{2}\,\frac{\log N}{\log\log N}$. In striking contrast, spectral expanders and random graphs are known to be non-embeddable in sublogarithmic dimension. Our result is based on a randomized embedding whose analysis utilizes the recent breakthroughs on Bourgain's slicing problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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