arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2405.09486math.CO
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遗传族中随机图的子图

Subgraphs of random graphs in hereditary families

Alexander Clifton, Hong Liu, Letícia Mattos, Michael Zheng

AI总结:

研究遗传族中随机图的子图最大边数,证明对非平凡遗传性质,随机图G(n,p)中属于该性质的子图边数以高概率不超过n^{2-ε},回答了Alon等人的问题。

摘要:

对于图$G$和遗传性质$\mathcal{P}$,设$\text{ex}(G,\mathcal{P})$表示$G$的属于$\mathcal{P}$的子图的最大边数。我们证明,对于每个满足存在某二分图$L$使得$L \notin \mathcal{P}$成立的非平凡遗传性质$\mathcal{P}$,以及每个固定的$p \in (0,1)$,存在某个常数$\varepsilon = \varepsilon(\mathcal{P})>0$,使得以高概率有\\[\text{ex}(G(n,p),\mathcal{P}) \le n^{2-\varepsilon}\\]。这回答了Alon、Krivelevich和Samotij的一个问题。

英文摘要:

For a graph $G$ and a hereditary property $\mathcal{P}$, let $\text{ex}(G,\mathcal{P})$ denote the maximum number of edges of a subgraph of $G$ that belongs to $\mathcal{P}$. We prove that for every non-trivial hereditary property $\mathcal{P}$ such that $L \notin \mathcal{P}$ for some bipartite graph $L$ and for every fixed $p \in (0,1)$ we have \[\text{ex}(G(n,p),\mathcal{P}) \le n^{2-\varepsilon}\] with high probability, for some constant $\varepsilon = \varepsilon(\mathcal{P})>0$. This answers a question of Alon, Krivelevich and Samotij.

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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