论文标题
在频谱和线性编程上,用于超图
On the spectrum and linear programming bound for hypergraphs
论文作者
论文摘要
图的光谱与许多图参数密切相关。特别是,普通图的光谱间隙是其价值和第二特征值之间的差异,被广泛认为是连通性的代数衡量,并且在扩展器图理论中起着关键作用。在本文中,我们扩展了对图和两部分图的先前工作,并提出了一种线性编程方法,用于在常规统一超图上获得带有规定的不同特征值的上限。此外,我们在常规统一超图的阶面获得了一个一般的上限,其第二特征值由给定值界定。我们的结果改进并扩展了Fen-Li(1996)对常规超图和Dinitz-Schapira-Shahaf(2020)(2020年)在摩尔或学位直径问题上进行的Alon-Boppana定理所做的先前工作。我们还确定了$ r $ r $ u $ u $均匀的超图的最大订单,第二个特征值最多,最多$θ$,用于几个参数$(r,u,u,θ)$。尤其是,正交阵列给出了最大的超图的结构,并为每个足够大的$ r $ $ $ $ $ $ $ $ 1 $ $ 1 $。此外,我们表明,在该顺序和程度的所有超图中,广义的摩尔几何形状具有最大的光谱差距。
The spectrum of a graph is closely related to many graph parameters. In particular, the spectral gap of a regular graph which is the difference between its valency and second eigenvalue, is widely seen an algebraic measure of connectivity and plays a key role in the theory of expander graphs. In this paper, we extend previous work done for graphs and bipartite graphs and present a linear programming method for obtaining an upper bound on the order of a regular uniform hypergraph with prescribed distinct eigenvalues. Furthermore, we obtain a general upper bound on the order of a regular uniform hypergraph whose second eigenvalue is bounded by a given value. Our results improve and extend previous work done by Feng-Li (1996) on Alon-Boppana theorems for regular hypergraphs and by Dinitz-Schapira-Shahaf (2020) on the Moore or degree-diameter problem. We also determine the largest order of an $r$-regular $u$-uniform hypergraph with second eigenvalue at most $θ$ for several parameters $(r,u,θ)$. In particular, orthogonal arrays give the structure of the largest hypergraphs with second eigenvalue at most $1$ for every sufficiently large $r$. Moreover, we show that a generalized Moore geometry has the largest spectral gap among all hypergraphs of that order and degree.