Poisson statistics of eigenvalues in the hierarchical Dyson model
Alexander Bendikov, Anton Braverman, John Pike

TL;DR
This paper investigates the eigenvalue distribution of hierarchical Laplacians on ultrametric spaces, demonstrating that under certain conditions, the eigenvalues follow a Poisson process, with applications to $p$-adic quantum mechanics.
Contribution
It introduces a framework for Poisson approximation of eigenvalues in hierarchical Laplacians with random perturbations, including explicit convergence rates.
Findings
Eigenvalues of perturbed hierarchical Laplacians can be approximated by a Poisson process.
Total variation convergence rates for the Poisson approximation are established.
Application to $p$-adic fractional derivatives demonstrates the theory's relevance to $p$-adic quantum mechanics.
Abstract
Let be a locally compact separable ultrametric space. Given a measure on and a function defined on the set of all balls we consider the hierarchical Laplacian . The operator acts in , is essentially self-adjoint, and has a purely point spectrum. Choosing a family of i.i.d. random variables, we define the perturbed function and the perturbed hierarchical Laplacian . All outcomes of the perturbed operator are hierarchical Laplacians. In particular they all have purely point spectrum. We study the empirical point process defined in terms of -eigenvalues. Under some natural assumptions can be approximated by a Poisson point process. Using a result of Arratia, Goldstein, and…
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Taxonomy
Topicsadvanced mathematical theories · Topological and Geometric Data Analysis · Stochastic processes and statistical mechanics
