Bilinear optimal control for the Stokes-Brinkman equations: a priori and a posteriori error analyses
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arXiv
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| Format: | Preprint |
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2024
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| author | Allendes, Alejandro Campaña, Gilberto Otarola, Enrique |
| author_facet | Allendes, Alejandro Campaña, Gilberto Otarola, Enrique |
| contents | We analyze a bilinear optimal control problem for the Stokes--Brinkman equations: the control variable enters the state equations as a coefficient. In two- and three-dimensional Lipschitz domains, we perform a complete continuous analysis that includes the existence of solutions and first- and second-order optimality conditions. We also develop two finite element methods that differ fundamentally in whether the admissible control set is discretized or not. For each of the proposed methods, we perform a convergence analysis and derive a priori error estimates; the latter under the assumption that the domain is convex. Finally, assuming that the domain is Lipschitz, we develop an a posteriori error estimator for each discretization scheme, obtain a global reliability bound, and investigate local efficiency estimates. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_18348 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Bilinear optimal control for the Stokes-Brinkman equations: a priori and a posteriori error analyses Allendes, Alejandro Campaña, Gilberto Otarola, Enrique Numerical Analysis Optimization and Control We analyze a bilinear optimal control problem for the Stokes--Brinkman equations: the control variable enters the state equations as a coefficient. In two- and three-dimensional Lipschitz domains, we perform a complete continuous analysis that includes the existence of solutions and first- and second-order optimality conditions. We also develop two finite element methods that differ fundamentally in whether the admissible control set is discretized or not. For each of the proposed methods, we perform a convergence analysis and derive a priori error estimates; the latter under the assumption that the domain is convex. Finally, assuming that the domain is Lipschitz, we develop an a posteriori error estimator for each discretization scheme, obtain a global reliability bound, and investigate local efficiency estimates. |
| title | Bilinear optimal control for the Stokes-Brinkman equations: a priori and a posteriori error analyses |
| topic | Numerical Analysis Optimization and Control |
| url | https://arxiv.org/abs/2404.18348 |