Graphs with at most one generalized cospectral mate
Wei Wang, Wei Wang, Tao Yu

TL;DR
This paper introduces a large family of graphs with specific spectral properties, proving most are uniquely determined by their spectra or have a unique cospectral mate, and develops algorithms to identify these cases efficiently.
Contribution
The paper defines the family _n, proves most graphs in it are DGS or have a unique cospectral mate, and creates an efficient method to determine this, supporting Haemers' conjecture.
Findings
Most graphs in _n are DGS or have a unique cospectral mate.
The problem of finding cospectral mates reduces to generating rational orthogonal matrices.
Experimental results suggest _n has positive density and most are DGS as n grows.
Abstract
Let be an -vertex graph with adjacency matrix , and be the walk matrix of , where is the all-one vector. In Wang [J. Combin. Theory, Ser. B, 122 (2017): 438-451], the author showed that any graph is uniquely determined by its generalized spectrum (DGS) whenever is odd and square-free. In this paper, we introduce a large family of graphs -vertex graphs and rank over where is odd and square-free, is an odd prime and . We prove that any graph in either is DGS or has exactly one generalized cospectral mate up to isomorphism. Moreover, we show that the problem of finding the generalized cospectral mate for a graph in is equivalent to that of generating an…
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Taxonomy
TopicsGraph theory and applications · Graph Labeling and Dimension Problems · Finite Group Theory Research
