Sampling The Lowest Eigenfunction to Recover the Potential in a One-Dimensional Schr\"odinger Equation
Spectral Theory
2022-02-17 v1 Numerical Analysis
Numerical Analysis
Abstract
We consider the BVP with . The inverse spectral problems asks one to recover from spectral information. In this paper, we present a very simple method to recover a potential by sampling one eigenfunction. The spectral asymptotics imply that for larger modes, more and more information is lost due to imprecise measurements (i.e. relative errors \textit{increases}) and so it is advantageous to use data from lower modes. Our method also allows us to recover "any" potential from \textit{one} boundary condition.
Keywords
Cite
@article{arxiv.2202.08191,
title = {Sampling The Lowest Eigenfunction to Recover the Potential in a One-Dimensional Schr\"odinger Equation},
author = {Rob Rahm},
journal= {arXiv preprint arXiv:2202.08191},
year = {2022}
}
Comments
15 pages; 16 figures