Optimal Control of Transmission Problems and Numerical Approximation by Adaptive FEM-BEM Coupling

Abstract We present a method for the numerical approximation of an optimal control problem constrained by a full-space transmission problem. The problem can be controlled by the interior source term, the jump over the interface, the jump of the flux over the interface, or any combination thereof. We complete the first-order optimality condition by the Johnson–Nédélec coupling, and a Lagrange multiplier which corresponds to the Bielak–MacCamy coupling. Our final formulation fulfills the LBB conditions on the continuous as well as discrete level, without restrictions. We develop a reliable a posteriori error estimator, propose an adaptive algorithm, and show its rate optimality. Numerical experiments confirm our theoretical findings.

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Publication Details

Journal
Computational Methods in Applied Mathematics
Published
2026-02-26
DOI
https://doi.org/10.1515/cmam-2025-0126
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

Optimal Control of Transmission Problems and Numerical Approximation by Adaptive FEM-BEM Coupling

Thomas J. Fuhrer, Michael Karkulik, Catalina Silva Rojas
Computational Methods in Applied Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Optimal Control of Transmission Problems and Numerical Approximation by Adaptive FEM-BEM Coupling

Thomas J. Fuhrer, Michael Karkulik, Catalina Silva Rojas
article en

Abstract

Abstract We present a method for the numerical approximation of an optimal control problem constrained by a full-space transmission problem. The problem can be controlled by the interior source term, the jump over the interface, the jump of the flux over the interface, or any combination thereof. We complete the first-order optimality condition by the Johnson–Nédélec coupling, and a Lagrange multiplier which corresponds to the Bielak–MacCamy coupling. Our final formulation fulfills the LBB conditions on the continuous as well as discrete level, without restrictions. We develop a reliable a posteriori error estimator, propose an adaptive algorithm, and show its rate optimality. Numerical experiments confirm our theoretical findings.

Computational Methods in Applied Mathematics
Pontificia Universidad Católica de Chile (CL), Federico Santa María Technical University (CL)
Openalex Percentile: Top 36%
Advanced Numerical Methods in Computational Mathematics
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