The Calder\'on problem for the Schr\"odinger equation in transversally anisotropic geometries with partial data
Yi-Hsuan Lin, Gen Nakamura, Philipp Zimmermann

TL;DR
This paper advances the partial data Calderón problem for anisotropic Schrödinger equations by establishing boundary determination, relating it to a nonlocal elliptic inverse problem, and reducing it to an inverse wave problem to recover the metric and potential.
Contribution
It introduces a novel boundary determination method and connects the inverse problem to nonlocal and wave equations, enabling recovery of both metric and potential from partial data.
Findings
Successfully recover (g,V) on the boundary using approximate solutions.
Relate the inverse problem to a nonlocal elliptic equation via Caffarelli–Silvestre extension.
Reduce the problem to an inverse wave equation to determine (g,V) in the interior.
Abstract
We study the partial data Calder\'on problem for the anisotropic Schr\"{o}dinger equation \begin{equation} \label{eq: a1} (-\Delta_{\widetilde{g}}+V)u=0\text{ in }\Omega\times (0,\infty), \end{equation} where is a bounded smooth domain, and is translationally invariant in the direction. Our goal is to recover both the metric and the potential from the (partial) Neumann-to-Dirichlet (ND) map on with . Our approach can be divided into three steps: Step 1. Boundary determination. We establish a novel boundary determination to identify on with help of suitable approximate solutions for the Schr\"odinger equation with inhomogeneous Neumann boundary condition. Step 2. Relation to a nonlocal elliptic inverse problem. We…
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
TopicsAdvanced Mathematical Physics Problems · Numerical methods in inverse problems · Spectral Theory in Mathematical Physics
