2008
DOI: 10.1016/j.jmaa.2008.07.029
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Eigenvalue bracketing for discrete and metric graphs

Abstract: We develop eigenvalue estimates for the Laplacians on discrete and metric graphs using various types of boundary conditions at the vertices of the metric graph. Via an explicit correspondence of the equilateral metric and discrete graph spectrum (also in the "exceptional" values of the metric graph corresponding to the Dirichlet spectrum) we carry over these estimates from the metric graph Laplacian to the discrete case. We apply the results to covering graphs and present examples where the covering graph Lapl… Show more

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Cited by 32 publications
(43 citation statements)
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“…. More precisely, the multiplicity of (πk) 2 is related to the global topology of the graph, as explained in [48]. Related multiplicity calculations for quantum graphs were carried out in [49].…”
Section: Fig 5 the Kagome Lattice And A Finitely Supported Eigenfunmentioning
confidence: 99%
“…. More precisely, the multiplicity of (πk) 2 is related to the global topology of the graph, as explained in [48]. Related multiplicity calculations for quantum graphs were carried out in [49].…”
Section: Fig 5 the Kagome Lattice And A Finitely Supported Eigenfunmentioning
confidence: 99%
“…We start this section with a short excursion into cohomology (for the standard vertex space and its oriented version, see also [25]). Assume that d = d G : G −→ 2 (E) is an exterior derivative for the vertex space G .…”
Section: Indices For Dirac Operators On Discrete Graphsmentioning
confidence: 99%
“…In [35] we also discussed the "enlarged" case. Finally, in [25], the "exceptional" Dirichlet eigenvalues arising from eigenfunctions on an equilateral metric graph vanishing at the vertices are described in a geometric way.…”
Section: O Postmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore it is often possible to compare different form domains while the domains of the representing operators remain unrelated. This fact allows, e.g., to develop spectral bracketing techniques in very different mathematical and physical situations using the language of quadratic forms [33,34].…”
Section: Introductionmentioning
confidence: 99%