On a Hierarchy of Spectral Invariants for Graphs

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Hauptverfasser: Arvind, V., Fuhlbrück, Frank, Köbler, Johannes, Verbitsky, Oleg
Format: Preprint
Veröffentlicht: 2023
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author Arvind, V.
Fuhlbrück, Frank
Köbler, Johannes
Verbitsky, Oleg
author_facet Arvind, V.
Fuhlbrück, Frank
Köbler, Johannes
Verbitsky, Oleg
contents We consider a hierarchy of graph invariants that naturally extends the spectral invariants defined by Fürer (Lin. Alg. Appl. 2010) based on the angles formed by the set of standard basis vectors and their projections onto eigenspaces of the adjacency matrix. We provide a purely combinatorial characterization of this hierarchy in terms of the walk counts. This allows us to give a complete answer to Fürer's question about the strength of his invariants in distinguishing non-isomorphic graphs in comparison to the 2-dimensional Weisfeiler-Leman algorithm, extending the recent work of Rattan and Seppelt (SODA 2023). As another application of the characterization, we prove that almost all graphs are determined up to isomorphism in terms of the spectrum and the angles, which is of interest in view of the long-standing open problem whether almost all graphs are determined by their eigenvalues alone. Finally, we describe the exact relationship between the hierarchy and the Weisfeiler-Leman algorithms for small dimensions, as also some other important spectral characteristics of a graph such as the generalized and the main spectra.
format Preprint
id arxiv_https___arxiv_org_abs_2310_04391
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On a Hierarchy of Spectral Invariants for Graphs
Arvind, V.
Fuhlbrück, Frank
Köbler, Johannes
Verbitsky, Oleg
Computational Complexity
Combinatorics
We consider a hierarchy of graph invariants that naturally extends the spectral invariants defined by Fürer (Lin. Alg. Appl. 2010) based on the angles formed by the set of standard basis vectors and their projections onto eigenspaces of the adjacency matrix. We provide a purely combinatorial characterization of this hierarchy in terms of the walk counts. This allows us to give a complete answer to Fürer's question about the strength of his invariants in distinguishing non-isomorphic graphs in comparison to the 2-dimensional Weisfeiler-Leman algorithm, extending the recent work of Rattan and Seppelt (SODA 2023). As another application of the characterization, we prove that almost all graphs are determined up to isomorphism in terms of the spectrum and the angles, which is of interest in view of the long-standing open problem whether almost all graphs are determined by their eigenvalues alone. Finally, we describe the exact relationship between the hierarchy and the Weisfeiler-Leman algorithms for small dimensions, as also some other important spectral characteristics of a graph such as the generalized and the main spectra.
title On a Hierarchy of Spectral Invariants for Graphs
topic Computational Complexity
Combinatorics
url https://arxiv.org/abs/2310.04391