Analysis of the Feshbach-Schur method for the Fourier Spectral discretizations of Schr{\"o}dinger operators
Genevi\`eve Dusson (LMB), Israel Sigal, Benjamin Stamm

TL;DR
This paper introduces a novel numerical approach combining Feshbach-Schur perturbation theory with Fourier spectral discretization to solve eigenvalue problems for Schrödinger operators, supported by theoretical analysis and numerical validation.
Contribution
It develops an abstract Feshbach-Schur framework with minimal regularity assumptions and applies it to Fourier spectral discretizations for Schrödinger eigenvalue problems.
Findings
The method effectively approximates eigenvalues of Schrödinger operators.
Theoretical analysis confirms the method's convergence under minimal regularity.
Numerical results validate the theoretical predictions.
Abstract
In this article, we propose a new numerical method and its analysis to solve eigenvalue problems for self-adjoint Schr{\"o}dinger operators, by combining the Feshbach-Schur perturbation theory with the spectral Fourier discretization. In order to analyze the method, we establish an abstract framework of Feshbach-Schur perturbation theory with minimal regularity assumptions on the potential that is then applied to the setting of the new spectral Fourier discretization method. Finally, we present some numerical results that underline the theoretical findings.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpectral Theory in Mathematical Physics · Mathematical functions and polynomials · Numerical methods in inverse problems
