English

A group representation approach to balance of gain graphs

Combinatorics 2021-07-27 v2 Group Theory

Abstract

We study the balance of GG-gain graphs, where GG is an arbitrary group, by investigating their adjacency matrices and their spectra. As a first step, we characterize switching equivalence and balance of gain graphs in terms of their adjacency matrices in Mn(CG)M_n(\mathbb C G). Then we introduce a represented adjacency matrix, associated with a gain graph and a group representation, by extending the theory of Fourier transforms from the group algebra CG\mathbb C G to the algebra Mn(CG)M_n(\mathbb C G). We prove that a gain graph is balanced if and only if the spectrum of the represented adjacency matrix associated with any (or equivalently all) faithful unitary representation of GG coincides with the spectrum of the underlying graph, with multiplicity given by the degree of the representation. We show that the complex adjacency matrix of unit gain graphs and the adjacency matrix of a cover graph are indeed particular cases of our construction. This enables us to recover some classical results and prove some new characterizations of balance in terms of spectrum, index or structure of these graphs.

Keywords

Cite

@article{arxiv.2001.08490,
  title  = {A group representation approach to balance of gain graphs},
  author = {Matteo Cavaleri and Daniele D'Angeli and Alfredo Donno},
  journal= {arXiv preprint arXiv:2001.08490},
  year   = {2021}
}

Comments

27 pages, 3 tables, 5 figures. In this second version, the word "balancedness" (with the meaning of "property of being balanced") has been replaced by the word "balance" both in the title and in the body of the article