A characterization of generalized cospectrality of rooted graphs with applications in graph reconstruction
Wei Wang, Wenqiang Wen, Songlin Guo

TL;DR
This paper extends classical spectral graph theory results to characterize generalized cospectrality in rooted graphs, providing new insights into graph reconstructibility based on vertex-deleted subgraphs and automorphisms.
Contribution
It offers a matrix-based characterization of generalized cospectral graphs and introduces a novel reconstructibility condition involving almost controllable subgraphs with automorphisms.
Findings
Matrix characterization of generalized cospectrality
New reconstructibility condition for graphs with automorphisms
Reconstructibility proven for graphs with certain vertex-deleted subgraphs
Abstract
Extending a classic result of Johnson and Newman, this paper provides a matrix characterization for two generalized cospectral graphs with a pair of generalized cospectral vertex-deleted subgraphs. As an application, we present a new condition for the reconstructibility of a graph. In particular, we show that a graph with at least three vertices is reconstructible if there exists a vertex-deleted subgraph that is almost controllable and has a nontrivial automorphism.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Data Visualization and Analytics · Graph Theory and Algorithms
