Interlacing and Friedlander-type inequalities for spectral minimal partitions of metric graphs
arXiv:2102.07585 · doi:10.1007/s11005-021-01438-6
Abstract
We prove interlacing inequalities between spectral minimal energies of metric graphs built on Dirichlet and standard Laplacian eigenvalues, as recently introduced in [Kennedy et al, arXiv:2005.01126]. These inequalities, which involve the first Betti number and the number of degree one vertices of the graph, recall both interlacing and other inequalities for the Laplacian eigenvalues of the whole graph, as well as estimates on the difference between the number of nodal and Neumann domains of the whole graph eigenfunctions. To this end we study carefully the principle of cutting a graph, in particular quantifying the size of a cut as a perturbation of the original graph via the notion of its rank. As a corollary we obtain an inequality between these energies and the actual Dirichlet and standard Laplacian eigenvalues, valid for all compact graphs, which complements a version for tree graphs of Friedlander's inequalities between Dirichlet and Neumann eigenvalues of a domain. In some cases this results in better Laplacian eigenvalue estimates than those obtained previously via more direct methods.
arXiv commentRevised version accepted for publication in Lett. Math. Phys. The presentation has been substantially revised, especially in Section 2, to make the introduction to the theory more user-friendly: several definitions and notation have been simplified or cut, and a running example is given to illustrate the relevant notions. Section 6 on eigenvalue and energy bounds has also been expanded
References in corpus (9)
- On the Spectral Gap of a Quantum Graph
- Surgery principles for the spectral analysis of quantum graphs
- On the connection between the number of nodal domains on quantum graphs and the stability of graph partitions
- A lower bound for nodal count on discrete and metric graphs
- Edge connectivity and the spectral gap of combinatorial and quantum graphs
- Quantum graphs which optimize the spectral gap
- Nodal Statistics On Quantum Graphs
- Anomalous nodal count and singularities in the dispersion relation of honeycomb graphs
- On extremal eigenvalues of the graph Laplacian