Error estimates for a bilinear optimal control problem of Maxwell's equations
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911871379963904 |
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| author | Fuica, Francisco Lepe, Felipe Venegas, Pablo |
| author_facet | Fuica, Francisco Lepe, Felipe Venegas, Pablo |
| contents | We consider a control-constrained optimal control problem subject to time-harmonic Maxwell's equations; the control variable belongs to a finite-dimensional set and enters the state equation as a coefficient. We derive existence of optimal solutions, and analyze first- and second-order optimality conditions. We devise an approximation scheme based on the lowest order Nédélec finite elements to approximate optimal solutions. We analyze convergence properties of the proposed scheme and prove a priori error estimates. We also design an a posteriori error estimator that can be decomposed as the sum two contributions related to the discretization of the state and adjoint equations, and prove that the devised error estimator is reliable and locally efficient. We perform numerical tests in order to assess the performance of the devised discretization strategy and the a posteriori error estimator. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_05532 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Error estimates for a bilinear optimal control problem of Maxwell's equations Fuica, Francisco Lepe, Felipe Venegas, Pablo Numerical Analysis Optimization and Control 35Q60, 49J20, 49K20, 49M25, 65N15, 65N30 We consider a control-constrained optimal control problem subject to time-harmonic Maxwell's equations; the control variable belongs to a finite-dimensional set and enters the state equation as a coefficient. We derive existence of optimal solutions, and analyze first- and second-order optimality conditions. We devise an approximation scheme based on the lowest order Nédélec finite elements to approximate optimal solutions. We analyze convergence properties of the proposed scheme and prove a priori error estimates. We also design an a posteriori error estimator that can be decomposed as the sum two contributions related to the discretization of the state and adjoint equations, and prove that the devised error estimator is reliable and locally efficient. We perform numerical tests in order to assess the performance of the devised discretization strategy and the a posteriori error estimator. |
| title | Error estimates for a bilinear optimal control problem of Maxwell's equations |
| topic | Numerical Analysis Optimization and Control 35Q60, 49J20, 49K20, 49M25, 65N15, 65N30 |
| url | https://arxiv.org/abs/2405.05532 |