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
TL;DR
This work develops a priori error estimates for a state-constrained, time-dependent optimal control problem governed by the transient Stokes equations, employing inf-sup stable spatial finite elements and discontinuous Galerkin time discretization. A central result bounds the fully discrete control error by $\|\bar{\mathbf q}-\bar{\mathbf q}_\sigma\|_{L^2(I\times\Omega)}$ with a rate $\mathcal{O}(\ell_k (k^{1/2}+h)/\sqrt{\alpha})$, where $\ell_k=\ln(T/k)$, and shows improved regularity for the optimal control. The paper also develops variational discretization and fully discrete schemes, proves stability and discrete optimality conditions, and provides rigorous error estimates and convergence for the Stokes state, along with comprehensive numerical experiments validating the theory. The results advance reliable discretization of transient, state-constrained PDE control problems and offer practical PDAS-based algorithms for efficient computation. $$\|\bar{\mathbf q}-\bar{\mathbf q}_\sigma\|_{L^2(I\times \Omega)} \lesssim \frac{1}{\sqrt{\alpha}} \ln\left(\frac{T}{k}\right) \left(k^{1/2}+h\right)$$ under the stated assumptions.
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 L2 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 establish error estimates and as a by-product we show an improved regularity for the optimal control. We complement our theoretical analysis with numerical results.
