有效地强制广义拟随机图

Andrzej Grzesik, Daniel Král’, Oleg Pikhurko
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摘要

研究了一类广义拟随机图,其顶点集由$q$个部分组成(这些部分的大小不一定相同),每个部分内部和每对部分之间的边是拟随机分布的;这些图对应于统计学和网络科学中研究的随机块模型。Lovász和Sós表明这种图的结构是由最多$(10q)^q+q$顶点的图的同态密度所强制的;随后,Lovász改进了这个论点,以表明具有$4(2q+3)^8$顶点的图就足够了。我们的结果表明,具有$q\ 2$部分的广义拟随机图的结构是由最多$4q^2-q$顶点的图的同态密度所强制的,并且,如果不同部分的顶点具有不同的度,则$2q+1$顶点就足够了。后者改善了$8q-4$的边界,这是由于Spencer的原因。
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Forcing generalised quasirandom graphs efficiently
We study generalised quasirandom graphs whose vertex set consists of $q$ parts (of not necessarily the same sizes) with edges within each part and between each pair of parts distributed quasirandomly; such graphs correspond to the stochastic block model studied in statistics and network science. Lovász and Sós showed that the structure of such graphs is forced by homomorphism densities of graphs with at most $(10q)^q+q$ vertices; subsequently, Lovász refined the argument to show that graphs with $4(2q+3)^8$ vertices suffice. Our results imply that the structure of generalised quasirandom graphs with $q\ge 2$ parts is forced by homomorphism densities of graphs with at most $4q^2-q$ vertices, and, if vertices in distinct parts have distinct degrees, then $2q+1$ vertices suffice. The latter improves the bound of $8q-4$ due to Spencer.
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