<i>A priori</i> error estimates for optimal control problems governed by the transient Stokes equations and subject to state constraints pointwise in time

Abstract In this paper, we consider a state constrained optimal control problem governed by the transient Stokes equations. The state constraint is given by an $L^{2}$ functional in space, which is required to fulfill a pointwise bound in time. The discretization scheme for the Stokes equations consists of inf-sup stable finite elements in space and a discontinuous Galerkin method in time, for which we have recently established best approximation type error estimates. Using these error estimates, for the discrete control problem we derive error estimates and as a by-product we show an improved regularity for the optimal control. We complement our theoretical analysis with numerical results.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2025-04-13
DOI
https://doi.org/10.1093/imanum/draf018
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

A priori error estimates for optimal control problems governed by the transient Stokes equations and subject to state constraints pointwise in time

Dmitriy Leykekhman, Boris Vexler, Jakob Wagner
IMA Journal of Numerical Analysis
Advanced Numerical Methods in Computational Mathematics
article

A priori error estimates for optimal control problems governed by the transient Stokes equations and subject to state constraints pointwise in time

Dmitriy Leykekhman, Boris Vexler, Jakob Wagner
article en

Abstract

Abstract In this paper, we consider a state constrained optimal control problem governed by the transient Stokes equations. The state constraint is given by an $L^{2}$ functional in space, which is required to fulfill a pointwise bound in time. The discretization scheme for the Stokes equations consists of inf-sup stable finite elements in space and a discontinuous Galerkin method in time, for which we have recently established best approximation type error estimates. Using these error estimates, for the discrete control problem we derive error estimates and as a by-product we show an improved regularity for the optimal control. We complement our theoretical analysis with numerical results.

IMA Journal of Numerical Analysis
University of Connecticut (US), Technical University of Munich (DE)
Openalex Percentile: Top 92%
Advanced Numerical Methods in Computational Mathematics
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