Numerical Optimization of Eigenvalues of the magnetic Dirichlet Laplacian with constant magnetic field

Fuente: arXiv
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Main Author: Baur, Matthias
Format: Preprint
Published: 2024
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author Baur, Matthias
author_facet Baur, Matthias
contents We present numerical minimizers for the first seven eigenvalues of the magnetic Dirichlet Laplacian with constant magnetic field in a wide range of field strengths. Adapting an approach by Antunes and Freitas, we use gradient descent for the minimization procedure together with the Method of Fundamental solutions for eigenvalue computation. Remarkably, we observe that when the magnetic flux exceeds the index of the target eigenvalue, the minimizer is always a disk.
format Preprint
id arxiv_https___arxiv_org_abs_2412_06533
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Numerical Optimization of Eigenvalues of the magnetic Dirichlet Laplacian with constant magnetic field
Baur, Matthias
Optimization and Control
Mathematical Physics
Analysis of PDEs
Spectral Theory
35Q40, 49Q10, 35P15
We present numerical minimizers for the first seven eigenvalues of the magnetic Dirichlet Laplacian with constant magnetic field in a wide range of field strengths. Adapting an approach by Antunes and Freitas, we use gradient descent for the minimization procedure together with the Method of Fundamental solutions for eigenvalue computation. Remarkably, we observe that when the magnetic flux exceeds the index of the target eigenvalue, the minimizer is always a disk.
title Numerical Optimization of Eigenvalues of the magnetic Dirichlet Laplacian with constant magnetic field
topic Optimization and Control
Mathematical Physics
Analysis of PDEs
Spectral Theory
35Q40, 49Q10, 35P15
url https://arxiv.org/abs/2412.06533