English

On distance matrices of graphs

Combinatorics 2017-11-29 v3

Abstract

Distance well-defined graphs consist of connected undirected graphs, strongly connected directed graphs and strongly connected mixed graphs. Let GG be a distance well-defined graph, and let D(G){\sf D}(G) be the distance matrix of GG. Graham, Hoffman and Hosoya [3] showed a very attractive theorem, expressing the determinant of D(G){\sf D}(G) explicitly as a function of blocks of GG. In this paper, we study the inverse of D(G){\sf D}(G) and get an analogous theory, expressing the inverse of D(G){\sf D}(G) through the inverses of distance matrices of blocks of GG (see Theorem 3.3) by the theory of Laplacian expressible matrices which was first defined by the first author [9]. A weighted cactoid digraph is a strongly connected directed graph whose blocks are weighted directed cycles. As an application of above theory, we give the determinant and the inverse of the distance matrix of a weighted cactoid digraph, which imply Graham and Pollak's formula and the inverse of the distance matrix of a tree.

Keywords

Cite

@article{arxiv.1701.04162,
  title  = {On distance matrices of graphs},
  author = {Hui Zhou and Qi Ding and Ruiling Jia},
  journal= {arXiv preprint arXiv:1701.04162},
  year   = {2017}
}

Comments

21 pages

R2 v1 2026-06-22T17:50:50.212Z