{"title":"Robust space-time finite element methods for parabolic distributed optimal control problems with energy regularization","authors":"Ulrich Langer, Olaf Steinbach, Huidong Yang","doi":"10.1007/s10444-024-10123-w","DOIUrl":null,"url":null,"abstract":"<div><p>As in our previous work (<i>SINUM</i> 59(2):660–674, 2021) we consider space-time tracking optimal control problems for linear parabolic initial boundary value problems that are given in the space-time cylinder <span>\\(Q = \\Omega \\times (0,T)\\)</span>, and that are controlled by the right-hand side <span>\\(z_\\varrho \\)</span> from the Bochner space <span>\\(L^2(0,T;H^{-1}(\\Omega ))\\)</span>. So it is natural to replace the usual <span>\\(L^2(Q)\\)</span> norm regularization by the energy regularization in the <span>\\(L^2(0,T;H^{-1}(\\Omega ))\\)</span> norm. We derive new a priori estimates for the error <span>\\(\\Vert \\widetilde{u}_{\\varrho h} - \\overline{u}\\Vert _{L^2(Q)}\\)</span> between the computed state <span>\\(\\widetilde{u}_{\\varrho h}\\)</span> and the desired state <span>\\(\\overline{u}\\)</span> in terms of the regularization parameter <span>\\(\\varrho \\)</span> and the space-time finite element mesh size <i>h</i>, and depending on the regularity of the desired state <span>\\(\\overline{u}\\)</span>. These new estimates lead to the optimal choice <span>\\(\\varrho = h^2\\)</span>. The approximate state <span>\\(\\widetilde{u}_{\\varrho h}\\)</span> is computed by means of a space-time finite element method using piecewise linear and continuous basis functions on completely unstructured simplicial meshes for <i>Q</i>. The theoretical results are quantitatively illustrated by a series of numerical examples in two and three space dimensions. We also provide performance studies for different solvers.</p></div>","PeriodicalId":50869,"journal":{"name":"Advances in Computational Mathematics","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10444-024-10123-w.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Mathematics","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10444-024-10123-w","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
As in our previous work (SINUM 59(2):660–674, 2021) we consider space-time tracking optimal control problems for linear parabolic initial boundary value problems that are given in the space-time cylinder \(Q = \Omega \times (0,T)\), and that are controlled by the right-hand side \(z_\varrho \) from the Bochner space \(L^2(0,T;H^{-1}(\Omega ))\). So it is natural to replace the usual \(L^2(Q)\) norm regularization by the energy regularization in the \(L^2(0,T;H^{-1}(\Omega ))\) norm. We derive new a priori estimates for the error \(\Vert \widetilde{u}_{\varrho h} - \overline{u}\Vert _{L^2(Q)}\) between the computed state \(\widetilde{u}_{\varrho h}\) and the desired state \(\overline{u}\) in terms of the regularization parameter \(\varrho \) and the space-time finite element mesh size h, and depending on the regularity of the desired state \(\overline{u}\). These new estimates lead to the optimal choice \(\varrho = h^2\). The approximate state \(\widetilde{u}_{\varrho h}\) is computed by means of a space-time finite element method using piecewise linear and continuous basis functions on completely unstructured simplicial meshes for Q. The theoretical results are quantitatively illustrated by a series of numerical examples in two and three space dimensions. We also provide performance studies for different solvers.
期刊介绍:
Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis.
This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.