2019
DOI: 10.1007/s00440-019-00920-6
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Localization of the continuous Anderson Hamiltonian in 1-D

Abstract: We study the bottom of the spectrum of the Anderson Hamiltonian HL := −∂ 2 x + ξ on [0, L] driven by a white noise ξ and endowed with either Dirichlet or Neumann boundary conditions. We show that, as L → ∞, the point process of the (appropriately shifted and rescaled) eigenvalues converges to a Poisson point process on R with intensity e x dx, and that the (appropriately rescaled) eigenfunctions converge to Dirac masses located at independent and uniformly distributed points. Furthermore, we show that the shap… Show more

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Cited by 25 publications
(24 citation statements)
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“…Similarily, would it be possible to find an effective "classical" equation describing the semiclassical limit in the case of a singular potential V = ξ or B = ξ ? See the book [12] from Helffer for details on the semiclassical limit and the work [6] by Dumaz and Labbé for a very precise description of the asymptotics in one dimension for the Anderson Hamiltonian.…”
Section: Resultsmentioning
confidence: 99%
“…Similarily, would it be possible to find an effective "classical" equation describing the semiclassical limit in the case of a singular potential V = ξ or B = ξ ? See the book [12] from Helffer for details on the semiclassical limit and the work [6] by Dumaz and Labbé for a very precise description of the asymptotics in one dimension for the Anderson Hamiltonian.…”
Section: Resultsmentioning
confidence: 99%
“…]. (We refer to Lemma 5.7. of [5] for additional details for this argument.) By Markov's inequality, we get…”
Section: Dy)mentioning
confidence: 99%
“…The first mathematically rigorous study of this object appeared in [17]. Following this, there have been several investigations of A's spectral properties [5,6,31], culminating in a recent article of Dumaz and Labbé [13], which provides a comprehensive description of eigenfunction localization and eigenvalue Poisson statistics in the case where A acts on I = (0, L) for large L.…”
Section: The Anderson Hamiltonian and Parabolic Anderson Modelmentioning
confidence: 99%