Error estimates for a certain class of elliptic optimal control problems
For researchers in PDE-constrained optimization, this provides a rigorous error estimation framework for a specific class of problems, but the approach is incremental as it applies existing Repin estimates to a new setting.
This paper presents a posteriori error estimates for elliptic optimal control problems where the state is measured in the energy norm, enabling two-sided bounds on the cost functional without solving the state equation exactly. Numerical tests confirm the theoretical results.
In this paper, error estimates are presented for a certain class of optimal control problems with elliptic PDE-constraints. It is assumed that in the cost functional the state is measured in terms of the energy norm generated by the state equation. The functional a posteriori error estimates developed by Repin in late 90's are applied to estimate the cost function value from both sides without requiring the exact solution of the state equation. Moreover, a lower bound for the minimal cost functional value is derived. A meaningful error quantity coinciding with the gap between the cost functional values of an arbitrary admissible control and the optimal control is introduced. This error quantity can be estimated from both sides using the estimates for the cost functional value. The theoretical results are confirmed by numerical tests.