Laplacian Energy of Digraphs and a Minimum Laplacian Energy Algorithm
Laplacian Energy of Digraphs and a Minimum Laplacian Energy Algorithm
复制标题
DOI:
10.1142/s0129054115500203
复制
发表时间:
2015-07
期刊:
影响因子:
--
通讯作者:
Xingqin Qi;Edgar Fuller;Rong Luo;G. Guo;Cun-Quan Zhang
中科院分区:
文献类型:
--
作者:
Xingqin Qi;Edgar Fuller;Rong Luo;G. Guo;Cun-Quan Zhang
In spectral graph theory, the Laplacian energy of undirected graphs has been studied extensively. However, there has been little work yet for digraphs. Recently, Perera and Mizoguchi (2010) introduced the directed Laplacian matrix L=D−A and directed Laplacian energy LE(G)=∑i=1nλi2 using the second spectral moment of L for a digraph G with n vertices, where D is the diagonal out-degree matrix, and A=(aij) with aij=1 whenever there is an arc (i,j ) from the vertex i to the vertex j and 0 otherwise. They studied the directed Laplacian energies of two special families of digraphs (simple digraphs and symmetric digraphs). In this paper, we extend the study of Laplacian energy for digraphs which allow both simple and symmetric arcs. We present lower and upper bounds for the Laplacian energy for such digraphs and also characterize the extremal graphs that attain the lower and upper bounds. We also present a polynomial algorithm to find an optimal orientation of a simple undirected graph such that the resulting oriented graph has the minimum Laplacian energy among all orientations. This solves an open problem proposed by Perera and Mizoguchi at 2010.