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Simultaneous reconstruction of two potentials for a nonconservative Schrödinger equation with dynamic boundary conditions

Hugo Carrllo, Alberto Mercado, Roberto Morales

TL;DR

This work addresses the inverse problem of simultaneously reconstructing two real potentials in a nonconservative Schrödinger equation with mixed dynamic boundary conditions from a single boundary flux measurement. The authors deploy the Bukhgeim–Klibanov method together with a Carleman estimate whose weight derives from Minkowski's functional to establish a Lipschitz stability bound for $(p,p_\Gamma)$ in terms of boundary data. A Carleman-based reconstruction (CbRec) framework is developed, including an auxiliary functional, a well-posed minimization, and a convergent iterative algorithm that updates the potentials from boundary observations. The results rely on geometric and regularity assumptions and highlight a pathway toward stable, constructive recovery of coefficients in Schrödinger systems with dynamic boundaries, with implications for one-dimensional reductions and potential numerical implementations.

Abstract

In this article, we consider an inverse problem involving the simultaneous reconstruction of two real valued potentials for a Schrödinger equation with mixed boundary conditions: a dynamic boundary condition of Wentzell type and a Dirichler boundary condition. The main result of this paper is a Lipschitz stability estimate for such potentials from a single measurement of the flux. This result is deduced using the Bukhgeim-Klibanov method and a suitable Carleman estimate where the weight function depends on Minkowski's functional.

Simultaneous reconstruction of two potentials for a nonconservative Schrödinger equation with dynamic boundary conditions

TL;DR

This work addresses the inverse problem of simultaneously reconstructing two real potentials in a nonconservative Schrödinger equation with mixed dynamic boundary conditions from a single boundary flux measurement. The authors deploy the Bukhgeim–Klibanov method together with a Carleman estimate whose weight derives from Minkowski's functional to establish a Lipschitz stability bound for in terms of boundary data. A Carleman-based reconstruction (CbRec) framework is developed, including an auxiliary functional, a well-posed minimization, and a convergent iterative algorithm that updates the potentials from boundary observations. The results rely on geometric and regularity assumptions and highlight a pathway toward stable, constructive recovery of coefficients in Schrödinger systems with dynamic boundaries, with implications for one-dimensional reductions and potential numerical implementations.

Abstract

In this article, we consider an inverse problem involving the simultaneous reconstruction of two real valued potentials for a Schrödinger equation with mixed boundary conditions: a dynamic boundary condition of Wentzell type and a Dirichler boundary condition. The main result of this paper is a Lipschitz stability estimate for such potentials from a single measurement of the flux. This result is deduced using the Bukhgeim-Klibanov method and a suitable Carleman estimate where the weight function depends on Minkowski's functional.

Paper Structure

This paper contains 16 sections, 10 theorems, 111 equations, 1 figure, 1 algorithm.

Key Result

Theorem 1.3

Consider the assumptions (A1) and (A2). Define the function $\psi$ given in def:psi. Moreover, for given $m>0$ we consider $(q,q_\Gamma)\in \mathbb{L}_{\leqslant m}^\infty$. Assume that $\delta$ and $d$ satisfy the condition In addition, suppose that and the initial data $y_0$ and $y_{0,\Gamma}$ are real valued functions satisfying for some positive constant $r_0$. Then, there exists a consta

Figures (1)

  • Figure 1: A domain $\Omega$ satisfying the geometric assumption (A1).

Theorems & Definitions (20)

  • Definition 1.1
  • Remark 1.2
  • Theorem 1.3
  • Remark 1.4
  • Remark 1.5
  • Theorem 1.6
  • Proposition 2.1: Proposition 2.1 Mercado2023Exact
  • Proposition 2.2: Proposition 2.2 Mercado2023Exact
  • Proposition 2.3: Proposition 2.5 Mercado2023Exact
  • Theorem 2.4
  • ...and 10 more