A Diagonalization Algorithm for the Distance Matrix of Cographs
Author(s) -
Zhibin Du
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2884621
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Cographs is a well-known class of graphs in graph theory, which can be generated from a single vertex by applying a series of complement (or equivalently join operations) and disjoint union operations. The distance spectrum of graphs is a rather active topic in spectral graph theory these years. This paper denotes to revealing some properties for the distance spectrum of cographs. More precisely, we present an algorithm, using $O(n)$ time and space, to diagonalize the distance matrix of cographs, from which one can deduce a diagonal matrix congruent to matrix $D + \lambda I$ , where $D$ is the distance matrix of a cograph, $\lambda $ is a real number, and $I$ is the identity matrix. Besides, we also give some applications of such algorithm about the inertia of distance matrix of complete multipartite graphs.
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