PreprintCC BY 4.0arXiv
Recovery of coefficients in a Schrödinger system with nonlinear coupling
Abstract
We consider the inverse problem of recovering time-dependent coefficients in a system of Schrödinger equations with coupled nonlinear terms. We first address the well-posedness of the system for small boundary data and trivial initial data. Then, we show that the linearized Neumann data stably determines the nonlinear coefficients provided that, at any given time, they are known in some neighborhood of the boundary. The proof relies on linearization and complex geometric optics (CGO) solutions for the linear Schrödinger equation. We conclude by outlining an approach based on the direct use of Carleman estimates to recover time-independent coefficients in the setting of trivial boundary data but nontrivial initial data.
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BibTeX
@misc{arrepu2026recovery,
title = {{Recovery of coefficients in a Schrödinger system with nonlinear coupling}},
author = {Pranav Arrepu and Hanming Zhou},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.21715},
eprint = {2610.21715},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.21715},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Recovery of coefficients in a Schrödinger system with nonlinear coupling
AU - Pranav Arrepu
AU - Hanming Zhou
PY - 2026
DA - 2026/10/15
PB - arXiv
DO - 10.48550/arxiv.2610.21715
UR - https://arxiv.org/abs/2610.21715
AB - We consider the inverse problem of recovering time-dependent coefficients in a system of Schrödinger equations with coupled nonlinear terms. We first address the well-posedness of the system for small boundary data and trivial initial data. Then, we show that the linearized Neumann data stably determines the nonlinear coefficients provided that, at any given time, they are known in some neighborhood of the boundary. The proof relies on linearization and complex geometric optics (CGO) solutions for the linear Schrödinger equation. We conclude by outlining an approach based on the direct use of Carleman estimates to recover time-independent coefficients in the setting of trivial boundary data but nontrivial initial data.
ER -