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Article Dans Une Revue Probability Theory and Related Fields Année : 2019

Localization of the continuous Anderson Hamiltonian in $1$-d

Résumé

We study the bottom of the spectrum of the Anderson Hamiltonian $\mathcal{H}_L := -\partial_x^2 + \xi$ on $[0,L]$ driven by a white noise $\xi$ and endowed with either Dirichlet or Neumann boundary conditions. We show that, as $L\rightarrow\infty$, the point process of the (appropriately shifted and rescaled) eigenvalues converges to a Poisson point process on $\mathbb{R}$ 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 asymptotic shape of each eigenfunction, recentered around its maximum, is given by an explicit, deterministic function that does not depend on the rank of the corresponding eigenvalue. Finally, we show that the eigenvalues/eigenfunctions in the Dirichlet and Neumann cases are very close to each other and converge to the same limits.

Dates et versions

hal-01636001 , version 1 (16-11-2017)

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Laure Dumaz, Cyril Labbé. Localization of the continuous Anderson Hamiltonian in $1$-d. Probability Theory and Related Fields, 2019, 176, ⟨10.1007/s00440-019-00920-6⟩. ⟨hal-01636001⟩
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