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arxiv: 1801.05684 · v1 · pith:TZL5OL4Znew · submitted 2018-01-17 · 🧮 math.PR · math.SP

Eigenvector localization in the heavy-tailed random conductance model

classification 🧮 math.PR math.SP
keywords eigenvectorconductanceeigenvectorsheavy-tailedlocalizationprincipalrandomauxiliary
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We generalize our former localization result about the principal Dirichlet eigenvector of the i.i.d. heavy-tailed random conductance Laplacian to the first $k$ eigenvectors. We overcome the complication that the higher eigenvectors have fluctuating signs by invoking the Bauer-Fike theorem to show that the $k$th eigenvector is close to the principal eigenvector of an auxiliary spectral problem.

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