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arXiv 2002.12117math.CO
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阈值图最大化同态密度

Threshold Graphs Maximize Homomorphism Densities

Grigoriy Blekherman, Shyamal Patel

AI总结:

本文证明对任意图H,最大化同态密度的图渐近为阈值图,统一了准星图与准团图两类极值结构,并推广到一致超图。

摘要:

给定一个固定图 $H$ 和一个常数 $c \in [0,1]$,我们可以问:边密度为 $c$ 的哪些图 $G$ 会渐近地最大化 $H$ 在 $G$ 中的同态密度。对于所有已经解决该问题的 $H$,最大值总是渐近地在两类图之一上达到:准星图(quasi-star)或准团图(quasi-clique)。我们证明,对任意 $H$,最大化图 $G$ 渐近地是一个阈值图(threshold graph),而准团图和准星图是最简单的阈值图,只有两个部分。这一结果为我们提供了一个统一框架,用以推导关于图同态最大化的一系列结果,其中一些结果最近也通过若干不同方法被独立发现。我们证明存在图 $H$ 和密度 $c$,使得最优图 $G$ 既不是准星图也不是准团图,从而重新证明了 Day 和 Sarkar 的一个结果。我们还证明,当 $c$ 足够大时,所有图 $H$ 都在准团图上取得最大值,这一点最近也被 Gerbner 等人证明;并且对任意 $c \in [0,1]$,$K_{1,2}$ 的密度总是在准星图或准团图上取得最大值,这一结果最初由 Ahlswede 和 Katona 证明。最后,我们将结果推广到一致超图。

英文摘要:

Given a fixed graph $H$ and a constant $c \in [0,1]$, we can ask what graphs $G$ with edge density $c$ asymptotically maximize the homomorphism density of $H$ in $G$. For all $H$ for which this problem has been solved, the maximum is always asymptotically attained on one of two kinds of graphs: the quasi-star or the quasi-clique. We show that for any $H$ the maximizing $G$ is asymptotically a threshold graph, while the quasi-clique and the quasi-star are the simplest threshold graphs, having only two parts. This result gives us a unified framework to derive a number of results on graph homomorphism maximization, some of which were also found quite recently and independently using several different approaches. We show that there exist graphs $H$ and densities $c$ such that the optimizing graph $G$ is neither the quasi-star nor the quasi-clique, reproving a result of Day and Sarkar. We also show that for $c$ large enough all graphs $H$ maximize on the quasi-clique, which was also recently proven by Gerbner et al., and for any $c \in [0,1]$ the density of $K_{1,2}$ is always maximized on either the quasi-star or the quasi-clique, which was originally shown by Ahlswede and Katona. Finally, we extend our results to uniform hypergraphs.

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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