Discrete Applied Mathematics· 2026Q2
Helmholtzian spectra of graphs: Basic properties
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- Q2SCImago
- 2026year
Short summary
The Helmholtzian spectrum of a graph is independent of edge and triangle orientations and relates to Laplacian spectra and signed graphs.
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Key points
- The Helmholtzian matrix is a graph-theoretic analogue of the vector Laplacian, indexed by graph edges.
- The Helmholtzian spectrum is independent of edge and triangle orientations.
- Eigenvalue interlacing inequalities are established for induced subgraphs.
- The nonzero Helmholtzian spectrum is a union of the graph's Laplacian spectrum and a related signed graph spectrum.
AI-generated from the title and abstract; the full text is not read.
Abstract
The Helmholtzian matrix of a graph G = ( V ( G ) , E ( G ) ) is a graph-theoretic analogue of the vector Laplacian (or Helmholtz operator) introduced in S. Li, L. Lu and J. F. Wang, A graph discretization of vector Laplacian , Discrete Appl. Math. 379 (2026), 446–460. Motivated by applications of the graph Helmholtzian to simplicial networks, we investigate its basic spectral properties. The matrix is naturally indexed by the edges of G and is positive semidefinite for every choice of orientations. We characterize when an edge orientation makes it entrywise nonnegative and relate its irreducibility to an associated signed graph with loops. We prove that the Helmholtzian spectrum is independent of the edge and triangle orientations and establish eigenvalue interlacing inequalities for induced subgraphs. We also show that the nonzero Helmholtzian spectrum, with multiplicities, is the multiset union of the nonzero Laplacian spectrum of G and the nonzero spectrum of a shifted adjacency matrix of the signed graph on the triangles of G . These results connect the Helmholtzian spectrum with ordinary Laplacian spectra, signed graphs, and combinatorial Hodge theory.
The authors' abstract, as published at the source. Discrete Applied Mathematics, 2026 · DOI ↗
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Field: Geometry and Topology
Geometry and TopologyMathematics