伪随机图中的图兰问题

Xizhi Liu, Dhruv Mubayi, David Munhá Correia
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In particular, our result implies that optimally pseudorandom graphs with density greater than <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\"http://www.w3.org/1999/xlink\" mime-subtype=\"png\" xlink:href=\"S0963548324000142_inline3.png\"/> <jats:tex-math> $n^{-1/3}$ </jats:tex-math> </jats:alternatives> </jats:inline-formula> must contain a copy of the Peterson graph, while the previous best result gives the bound <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\"http://www.w3.org/1999/xlink\" mime-subtype=\"png\" xlink:href=\"S0963548324000142_inline4.png\"/> <jats:tex-math> $n^{-1/4}$ </jats:tex-math> </jats:alternatives> </jats:inline-formula>. Moreover, we conjecture that the exponent <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\"http://www.w3.org/1999/xlink\" mime-subtype=\"png\" xlink:href=\"S0963548324000142_inline5.png\"/> <jats:tex-math> $1/3$ </jats:tex-math> </jats:alternatives> </jats:inline-formula> in our bound is tight. We also construct the densest known pseudorandom <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\"http://www.w3.org/1999/xlink\" mime-subtype=\"png\" xlink:href=\"S0963548324000142_inline6.png\"/> <jats:tex-math> $K_{2,3}$ </jats:tex-math> </jats:alternatives> </jats:inline-formula>-free graphs that are also triangle-free. 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We provide an embedding procedure that improves a general result of Conlon, Fox, and Zhao which gives an upper bound on the density. In particular, our result implies that optimally pseudorandom graphs with density greater than <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\" mime-subtype=\\\"png\\\" xlink:href=\\\"S0963548324000142_inline3.png\\\"/> <jats:tex-math> $n^{-1/3}$ </jats:tex-math> </jats:alternatives> </jats:inline-formula> must contain a copy of the Peterson graph, while the previous best result gives the bound <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\" mime-subtype=\\\"png\\\" xlink:href=\\\"S0963548324000142_inline4.png\\\"/> <jats:tex-math> $n^{-1/4}$ </jats:tex-math> </jats:alternatives> </jats:inline-formula>. Moreover, we conjecture that the exponent <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\" mime-subtype=\\\"png\\\" xlink:href=\\\"S0963548324000142_inline5.png\\\"/> <jats:tex-math> $1/3$ </jats:tex-math> </jats:alternatives> </jats:inline-formula> in our bound is tight. We also construct the densest known pseudorandom <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\" mime-subtype=\\\"png\\\" xlink:href=\\\"S0963548324000142_inline6.png\\\"/> <jats:tex-math> $K_{2,3}$ </jats:tex-math> </jats:alternatives> </jats:inline-formula>-free graphs that are also triangle-free. 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引用次数: 0

摘要

给定一个图 $F$,我们考虑的问题是确定不包含 $F$ 副本的密度最大的伪随机图。我们提供了一种嵌入程序,该程序改进了康伦、福克斯和赵的一般结果,后者给出了密度的上限。特别是,我们的结果意味着密度大于 $n^{-1/3}$ 的最优伪随机图必须包含彼得森图的一个副本,而之前的最佳结果给出的边界是 $n^{-1/4}$ 。此外,我们猜想我们的约束中的指数 1/3$ 是紧密的。我们还构建了已知最密集的无 K_{2,3}$ 的伪随机图,这些图也是无三角形的。最后,我们对已知最密集的无簇伪随机图的构造给出了一个不同的证明,该证明是由比什诺伊、伊林格尔和佩佩提出的,即它们没有大的簇。
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Turán problems in pseudorandom graphs
Given a graph $F$ , we consider the problem of determining the densest possible pseudorandom graph that contains no copy of $F$ . We provide an embedding procedure that improves a general result of Conlon, Fox, and Zhao which gives an upper bound on the density. In particular, our result implies that optimally pseudorandom graphs with density greater than $n^{-1/3}$ must contain a copy of the Peterson graph, while the previous best result gives the bound $n^{-1/4}$ . Moreover, we conjecture that the exponent $1/3$ in our bound is tight. We also construct the densest known pseudorandom $K_{2,3}$ -free graphs that are also triangle-free. Finally, we give a different proof for the densest known construction of clique-free pseudorandom graphs due to Bishnoi, Ihringer, and Pepe that they have no large clique.
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