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Localization of the continuous Anderson Hamiltonian in 1-D

Laure Dumaz, +1 more
- 01 Feb 2020 - 
- Vol. 176, Iss: 1, pp 353-419
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TLDR
In this article, the bottom of the spectrum of the Anderson Hamiltonian with Dirichlet or Neumann boundary conditions was studied, and it was shown that the shape of each eigenfunction, recentered around its maximum and properly rescaled, is given by the inverse of a hyperbolic cosine.
Abstract
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 $$\mathbf{R}$$ 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 shape of each eigenfunction, recentered around its maximum and properly rescaled, is given by the inverse of a hyperbolic cosine. We also show that the eigenfunctions decay exponentially from their localization centers at an explicit rate, and we obtain very precise information on the zeros and local maxima of these eigenfunctions. 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.

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Citations
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Journal ArticleDOI

The continuous Anderson hamiltonian in d ≤ 3

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Linear statistics and pushed Coulomb gas at the edge of beta random matrices: four paths to large deviations

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SPDE Limit of Weakly Inhomogeneous ASEP

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Asymptotics of the eigenvalues of the Anderson Hamiltonian with white noise potential in two dimensions

TL;DR: In this paper, the Anderson Hamiltonian with white noise potential on the box $[0,L]^2$ with Dirichlet boundary conditions was considered and it was shown that all the eigenvalues divided by L$ converge almost surely to the same deterministic constant, which is given by a variational formula.
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Semigroups for One-Dimensional Schr\"odinger Operators with Multiplicative Gaussian Noise

TL;DR: In this paper, it was shown that if the Schrodinger operator is locally integrable, bounded below, and grows faster than the logarithm at infinity, then the semigroup is trace class and admits a probabilistic representation via a Feynman-Kac formula.
References
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Absence of Diffusion in Certain Random Lattices

TL;DR: In this article, a simple model for spin diffusion or conduction in the "impurity band" is presented, which involves transport in a lattice which is in some sense random, and in them diffusion is expected to take place via quantum jumps between localized sites.
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Continuous martingales and Brownian motion

Daniel Revuz, +1 more
TL;DR: In this article, the authors present a comprehensive survey of the literature on limit theorems in distribution in function spaces, including Girsanov's Theorem, Bessel Processes, and Ray-Knight Theorem.
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TL;DR: Theoretically, Brownian motion with drift is a Markov process as mentioned in this paper, which is a generalization of the Bessel process of order 1/2 and the Ornstein-Uhlenbeck process.
Journal ArticleDOI

A theory of regularity structures

TL;DR: In this paper, the authors introduce a regularity structure for describing functions and distributions via a kind of "jet" or local Taylor expansion around each point, which allows to describe the local behaviour not only of functions but also of large classes of distributions.
Journal ArticleDOI

A theory of regularity structures

TL;DR: In this article, a regularity structure is introduced to describe functions and distributions via a kind of "jet" or local Taylor expansion around each point, which allows to describe the local behaviour not only of functions but also of large classes of distributions.