English

Space-time finite element methods for distributed optimal control of the wave equation

Numerical Analysis 2022-11-07 v1 Numerical Analysis Optimization and Control

Abstract

We consider space-time tracking type distributed optimal control problems for the wave equation in the space-time domain Q:=Ω×(0,T)Rn+1Q:= \Omega \times (0,T) \subset {\mathbb{R}}^{n+1}, where the control is assumed to be in the energy space [H0;,01,1(Q)][H_{0;,0}^{1,1}(Q)]^*, rather than in L2(Q)L^2(Q) which is more common. While the latter ensures a unique state in the Sobolev space H0;0,1,1(Q)H^{1,1}_{0;0,}(Q), this does not define a solution isomorphism. Hence we use an appropriate state space XX such that the wave operator becomes an isomorphism from XX onto [H0;,01,1(Q)][H_{0;,0}^{1,1}(Q)]^*. Using space-time finite element spaces of piecewise linear continuous basis functions on completely unstructured but shape regular simplicial meshes, we derive a priori estimates for the error u~ϱhuL2(Q)\|\widetilde{u}_{\varrho h}-\overline{u}\|_{L^2(Q)} between the computed space-time finite element solution u~ϱh\widetilde{u}_{\varrho h} and the target function u\overline{u} with respect to the regularization parameter ϱ\varrho, and the space-time finite element mesh-size hh, depending on the regularity of the desired state u\overline{u}. These estimates lead to the optimal choice ϱ=h2\varrho=h^2 in order to define the regularization parameter ϱ\varrho for a given space-time finite element mesh size hh, or to determine the required mesh size hh when ϱ\varrho is a given constant representing the costs of the control. The theoretical results will be supported by numerical examples with targets of different regularities, including discontinuous targets. Furthermore, an adaptive space-time finite element scheme is proposed and numerically analyzed.

Keywords

Cite

@article{arxiv.2211.02562,
  title  = {Space-time finite element methods for distributed optimal control of the wave equation},
  author = {Richard Löscher and Olaf Steinbach},
  journal= {arXiv preprint arXiv:2211.02562},
  year   = {2022}
}
R2 v1 2026-06-28T05:12:18.926Z