pith. sign in

arxiv: 1608.02415 · v3 · pith:BXOUR35Snew · submitted 2016-08-08 · 🧮 math.PR

Localization of the principal Dirichlet eigenvector in the heavy-tailed random conductance model

classification 🧮 math.PR
keywords dirichleteigenvectorgammaprincipalrandomargumentsconductanceeigenvalue
0
0 comments X
read the original abstract

We study the asymptotic behavior of the principal eigenvector and eigenvalue of the random conductance Laplacian in a large domain of $\mathbb{Z}^d$ ($d\geq 2$) with zero Dirichlet condition. We assume that the conductances $w$ are positive i.i.d. random variables, which fulfill certain regularity assumptions near zero. If $\gamma=\sup \{ q\geq 0\colon \mathbb{E} [w^{-q}]<\infty \}<1/4$, then we show that for almost every environment the principal Dirichlet eigenvector asymptotically concentrates in a single site and the corresponding eigenvalue scales subdiffusively. The threshold $\gamma_{\rm c} = 1/4$ is sharp. Indeed, other recent results imply that for $\gamma>1/4$ the top of the Dirichlet spectrum homogenizes. Our proofs are based on a spatial extreme value analysis of the local speed measure, Borel-Cantelli arguments, the Rayleigh-Ritz formula, results from percolation theory, and path arguments.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.