A Neumann interface optimal control problem with elliptic PDE constraints and its discretization and numerical analysis
Zhiyue Zhang, Kazufumi Ito, Zhilin Li

TL;DR
This paper investigates an elliptic PDE optimal control problem with interface conditions, proposing a discretization method using immersed finite elements and postprocessing to improve accuracy, supported by theoretical error estimates and numerical validation.
Contribution
It introduces a novel discretization approach for interface control problems using immersed finite elements and superconvergence postprocessing, with comprehensive error analysis.
Findings
Optimal error estimates for control achieved
Superconvergence in control approximation demonstrated
Numerical results confirm theoretical accuracy improvements
Abstract
We study an optimal control problem governed by elliptic PDEs with interface, which the control acts on the interface. Due to the jump of the coefficient across the interface and the control acting on the interface, the regularity of solution of the control problem is limited on the whole domain, but smoother on subdomains. The control function with pointwise inequality constraints is served as the flux jump condition which we called Neumann interface control. We use a simple uniform mesh that is independent of the interface. The standard linear finite element method can not achieve optimal convergence when the uniform mesh is used. Therefore the state and adjoint state equations are discretized by piecewise linear immersed finite element method (IFEM). While the accuracy of the piecewise constant approximation of the optimal control on the interface is improved by a postprocessing step…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Differential Equations and Numerical Methods
