Adaptive finite element methods for the pointwise tracking optimal control problem of the Stokes equations
For researchers in optimal control and finite element methods, this work provides a rigorous error estimator for a challenging problem with Dirac measures, though it is an incremental extension of existing techniques.
The paper proposes and analyzes a reliable and efficient a posteriori error estimator for the pointwise tracking optimal control problem of the Stokes equations, demonstrating competitive performance through an adaptive strategy.
We propose and analyze a reliable and efficient a posteriori error estimator for the pointwise tracking optimal control problem of the Stokes equations. This linear-quadratic optimal control problem entails the minimization of a cost functional that involves point evaluations of the velocity field that solves the state equations. This leads to an adjoint problem with a linear combination of Dirac measures as a forcing term and whose solution exhibits reduced regularity properties. We also consider constraints on the control variable. The proposed a posteriori error estimator can be decomposed as the sum of four contributions: three contributions related to the discretization of the state and adjoint equations, and another contribution that accounts for the discretization of the control variable. On the basis of the devised a posteriori error estimator, we design a simple adaptive strategy that illustrates our theory and exhibits a competitive performance.