|
This article is cited in 1 scientific paper (total in 1 paper)
Poisson statistics of eigenvalues in the hierarchical Dyson model
A. Bendikova, A. Bravermanb, J. Pikec a Institute of Mathematics, University of Wroclaw, Wroclaw, Poland
b School of Operation Research and Industrial Engineering, Cornell University, Ithaca, NY, USA
c Department of Mathematics, Cornell University, Ithaca, NY, USA
Abstract:
Let $(X,d)$ be a locally compact separable ultrametric space.
Given a measure $m$ on $X$ and a function $C$ defined on the set $\mathcal{B}$ of
all balls $B\subset X$, we consider the hierarchical Laplacian $L=L_{C}$.
The operator $L$ acts in $L^{2}(X,m)$, is essentially self-adjoint, and has
a purely point spectrum. Choosing a family $\{\varepsilon(B)\}_{B\in \mathcal{B}}$
of i.i.d. random variables, we define the perturbed function
$\mathcal{C}(B)=C(B)(1+\varepsilon(B))$ and the perturbed hierarchical Laplacian
$\mathcal{L}=L_{\mathcal{C}}$.
All outcomes of the perturbed operator $\mathcal{L}$
are hierarchical Laplacians. In particular they all have purely
point spectrum. We study the empirical point process $M$ defined in terms of $\mathcal{L}$-eigenvalues.
Under some natural assumptions, $M$ can be approximated
by a Poisson point process. Using a result of Arratia, Goldstein,
and Gordon based on the Chen–Stein method, we provide total variation convergence
rates for the Poisson approximation.
We apply our theory to random
perturbations of the operator $\mathfrak{D}^{\alpha }$, the $p$-adic
fractional derivative of order $\alpha >0$.
Keywords:
Poisson approximation, hierarchical Laplacian, ultrametric measure space, field of $p$-adic numbers, fractional derivative, point spectrum, integrated density of states, Stein's method.
Received: 18.12.2015 Accepted: 30.06.2016
Citation:
A. Bendikov, A. Braverman, J. Pike, “Poisson statistics of eigenvalues in the hierarchical Dyson model”, Teor. Veroyatnost. i Primenen., 63:1 (2018), 117–144; Theory Probab. Appl., 63:1 (2018), 94–116
Linking options:
https://www.mathnet.ru/eng/tvp5136https://doi.org/10.4213/tvp5136 https://www.mathnet.ru/eng/tvp/v63/i1/p117
|
Statistics & downloads: |
Abstract page: | 384 | Full-text PDF : | 62 | References: | 35 | First page: | 17 |
|