图的谱对称定向
Spectrally symmetric orientations of graphs
AI总结:
本文研究了非二分图的谱对称定向图,探讨了其密度极值问题及构造方法。
摘要:
基于六次单位根的有向图的埃尔米特邻接矩阵在[B. Mohar, 一种新的埃尔米特矩阵用于有向图,线性代数应用(2020)]中被引入。它们似乎是对有向图谱理论最自然的选择。无向图的邻接谱关于0对称当且仅当它们是二分图。对于埃尔米特谱来说情况更为复杂。本文研究了非二分图的定向图的对称埃尔米特谱。我们的主要结果关注最大化谱对称定向图密度的极值问题。证明最大可能密度在13/18和10/11之间。此外,我们基于基础图的邻接谱给出了有向图谱对称的必要条件。这使得我们能够证明足够密集的图的线图不具有谱对称的定向。我们还展示了如何通过1-和操作构造无限族的谱对称图。
英文摘要:
The Hermitian adjacency matrices of digraphs based on the sixth root of unity were introduced in [B. Mohar, A new kind of Hermitian matrices for digraphs, Linear Alg. Appl. (2020)]. They appear to be the most natural choice for the spectral theory of digraphs. Undirected graphs have adjacency spectrum symmetric about 0 if and only if they are bipartite. The situation is more complex for the Hermitian spectra of digraphs. In this paper we study non-bipartite oriented graphs with symmetric Hermitian spectra. Our main result concerns the extremal problem of maximizing the density of spectrally symmetric oriented graphs. The maximum possible density is shown to be between 31/36} and 10/11. Furthermore, we give a necessary condition for an oriented graph to be spectrally symmetric based on the adjacency spectrum of the underlying graph. This allows us to show that line graphs of sufficiently dense graphs do not admit spectrally symmetric orientations. We also show how to construct infinite families of spectrally symmetric graphs using 1-sums.
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