Increasing stability of the first order linearized inverse Schr\"{o}dinger potential problem with integer power type nonlinearities

TL;DR

This paper demonstrates that nonlinearities in the inverse Schrödinger potential problem can enhance stability at high wavenumbers, providing a new linearization approach and an effective reconstruction algorithm.

Contribution

It introduces a novel linearization method that improves stability in inverse Schrödinger problems with nonlinearities and offers a practical reconstruction algorithm.

Findings

Lipschitz stability for Fourier coefficients at low frequency

Explicit stability dependence on wavenumber and nonlinearity index

Numerical examples confirm algorithm efficiency

Abstract

We investigate the increasing stability of the inverse Schr\"{o}dinger potential problem with integer power type nonlinearities at a large wavenumber. By considering the first order linearized system with respect to the unknown potential function, a combination formula of the first order linearization is proposed, which provides a Lipschitz type stability for the recovery of the Fourier coefficients of the unknown potential function in low frequency mode. These stability results highlight the advantage of nonlinearity in solving this inverse potential problem by explicitly quantifying the dependence to the wavenumber and the nonlinearities index. A reconstruction algorithm for general power type nonlinearities is also provided. Several numerical examples illuminate the efficiency of our proposed algorithm.