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Construction and spectrum of the Anderson Hamiltonian with white noise potential on $\mathbf{R}^2$ and $\mathbf{R}^3$

Yueh-Sheng Hsu, Cyril Labbé

TL;DR

This work provides a rigorous construction of the Anderson Hamiltonian $\mathcal{H}=-\Delta+\xi$ with white-noise potential on $\mathbb{R}^2$ and $\mathbb{R}^3$ by leveraging the parabolic Anderson model and a Klein–Landau semigroup framework. It renormalizes the ill-defined distributional potential, builds the PAM semigroup, and obtains a self-adjoint generator as the strong resolvent limit of renormalized operators; in 2D and 3D, it is shown that the spectrum is almost surely the entire real line. The analysis hinges on enhanced noise spaces for PAM in 2D, and regularity-structures techniques for PAM in 3D, together with a Kotani-type argument that transfers Weyl-sequence reasoning to the singular setting. The results offer a robust, broadly applicable methodology for singular random differential operators beyond the present model, with implications for spectral theory and stochastic PDE renormalization.

Abstract

We propose a simple construction of the Anderson Hamiltonian with white noise potential on $\mathbf{R}^2$ and $\mathbf{R}^3$ based on the solution theory of the parabolic Anderson model. It relies on a theorem of Klein and Landau [KL81] that associates a unique self-adjoint generator to a symmetric semigroup satisfying some mild assumptions. Then, we show that almost surely the spectrum of this random Schrödinger operator is $\mathbf{R}$. To prove this result, we extend the method of Kotani [Kot85] to our setting of singular random operators.

Construction and spectrum of the Anderson Hamiltonian with white noise potential on $\mathbf{R}^2$ and $\mathbf{R}^3$

TL;DR

This work provides a rigorous construction of the Anderson Hamiltonian with white-noise potential on and by leveraging the parabolic Anderson model and a Klein–Landau semigroup framework. It renormalizes the ill-defined distributional potential, builds the PAM semigroup, and obtains a self-adjoint generator as the strong resolvent limit of renormalized operators; in 2D and 3D, it is shown that the spectrum is almost surely the entire real line. The analysis hinges on enhanced noise spaces for PAM in 2D, and regularity-structures techniques for PAM in 3D, together with a Kotani-type argument that transfers Weyl-sequence reasoning to the singular setting. The results offer a robust, broadly applicable methodology for singular random differential operators beyond the present model, with implications for spectral theory and stochastic PDE renormalization.

Abstract

We propose a simple construction of the Anderson Hamiltonian with white noise potential on and based on the solution theory of the parabolic Anderson model. It relies on a theorem of Klein and Landau [KL81] that associates a unique self-adjoint generator to a symmetric semigroup satisfying some mild assumptions. Then, we show that almost surely the spectrum of this random Schrödinger operator is . To prove this result, we extend the method of Kotani [Kot85] to our setting of singular random operators.
Paper Structure (14 sections, 21 theorems, 146 equations, 1 figure)

This paper contains 14 sections, 21 theorems, 146 equations, 1 figure.

Key Result

Theorem 1

In dimensions $2$ and $3$, there exists a random operator $\mathcal{H}$ which is self-adjoint on (a dense subset of) $L^2({{\hbox{\bfR}}}^d,dx)$ and which is the limit in probability of $\mathcal{H}_{\epsilon}$ as $\epsilon\downarrow 0$ in the strong resolvent sense. For any $t\ge 0$, the domain of

Figures (1)

  • Figure 1: Basis vectors and homogeneities in the regularity structure.

Theorems & Definitions (53)

  • Theorem 1
  • Theorem 2
  • Theorem 3: KL81
  • Lemma 3.1
  • proof
  • Remark 3.2
  • Theorem 4
  • proof
  • Definition 3.3
  • Remark 3.4
  • ...and 43 more