Geodesic
Poisson statistics of eigenvalues in the hierarchical Dyson model
Teoriâ veroâtnostej i ee primeneniâ, Tome 63 (2018) no. 1, pp. 117-144 Cet article a éte moissonné depuis la source Math-Net.Ru

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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: hierarchical Laplacian, ultrametric measure space, field of $p$-adic numbers, fractional derivative, point spectrum, integrated density of states, Stein's method.
Mots-clés : Poisson approximation 
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A. Bendikov; A. Braverman; J. Pike. Poisson statistics of eigenvalues in the hierarchical Dyson model. Teoriâ veroâtnostej i ee primeneniâ, Tome 63 (2018) no. 1, pp. 117-144. http://geodesic.mathdoc.fr/item/TVP_2018_63_1_a5/

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