A Priori Error Analysis for Discretization of Sparse Elliptic Optimal Control Problems in Measure Space
Author(s) -
Konstantin Pieper,
Boris Vexler
Publication year - 2013
Publication title -
siam journal on control and optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.486
H-Index - 116
eISSN - 1095-7138
pISSN - 0363-0129
DOI - 10.1137/120889137
Subject(s) - mathematics , discretization , a priori and a posteriori , optimal control , measure (data warehouse) , finite element method , state space , variable (mathematics) , control variable , space (punctuation) , elliptic curve , state (computer science) , mathematical optimization , mathematical analysis , algorithm , computer science , statistics , philosophy , epistemology , database , operating system , physics , thermodynamics
In this paper an optimal control problem is considered, where the control variable lies in a measure space and the state variable fulfills an elliptic equation. This formulation leads to a sparse structure of the optimal control. In this setting we prove a new regularity result for the optimal state and the optimal control. Moreover, a finite element discretization based on [E. Casas, C. Clason, and K. Kunisch, SIAM J. Control Optim., 50 (2012), pp. 1735--1752] is discussed and a priori error estimates are derived, which significantly improve the estimates from that paper. Numerical examples for problems in two and three space dimensions illustrate our results.
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