The continuous Anderson hamiltonian in dimension two
Romain Allez, Khalil Chouk

TL;DR
This paper rigorously constructs the two-dimensional Anderson Hamiltonian with singular potentials like Gaussian white noise, proving spectral properties, convergence of approximations, and tail bounds for the ground state.
Contribution
It introduces a method to define and analyze the 2D Anderson Hamiltonian with singular potentials using paracontrolled distributions, establishing spectral discreteness and convergence of regularized operators.
Findings
The spectrum of the operator is discrete with no accumulation points.
The spectrum depends continuously on the enhanced potential.
The regularized operators converge to the singular operator in the resolvent sense.
Abstract
We define the Anderson hamiltonian on the two dimensional torus . This operator is formally defined as where is the Laplacian operator and where belongs to a general class of singular potential which includes the Gaussian white noise distribution. We use the notion of paracontrolled distribution as introduced by Gubinelli, Imkeller and Perkowski in [14]. We are able to define the Schr\"odinger operator as an unbounded self-adjoint operator on and we prove that its real spectrum is discrete with no accumulation points for a general class of singular potential . We also establish that the spectrum is a continuous function of a sort of enhancement of the potential . As an application, we prove that a correctly renormalized smooth approximations $\mathscr H_\varepsilon:=…
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Random Matrices and Applications · Quantum chaos and dynamical systems
