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A Priori Error Estimates for Finite Element Discretizations of Parabolic Optimal Control Problems with Measure Data

机译:用于测量数据的抛物线最优控制问题的有限元离散化的先验误差估计

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摘要

We study finite element approximations of parabolic optimal control problem with measure data in space in a bounded convex domain. The main mathematical difficulty of this kind of problem is low regularity of the solution of the state equation due to the presence of measure data in source term. This introduces some difficulties in both theory and numerics of finite element error analysis. We first prove the existence, uniqueness and regularity of the solution to the control problem. A priori error estimates for the state and control variables are derived for both the spatially discrete and fully discrete approximations of optimal control problems. Moreover, convergence properties for the state and the control variables are established. We use piecewise linear and continuous finite elements for the approximations of the state and co-state variables whereas the control variable is approximated by piecewise constant functions. Numerical experiment is provided to illustrate our theoretical results.
机译:我们研究有限凸域中空间中的测量数据的抛物线最优控制问题的有限元近似。这种问题的主要数学难度是由于在源期限中的测量数据的存在,状态等式的溶液的低规律性。这在有限元误差分析的理论和数字中引入了一些困难。我们首先证明了对控制问题的解决方案的存在,唯一性和规律性。用于最佳控制问题的空间离散和完全离散近似的状态和控制变量的先验误差估计。此外,建立了状态和控制变量的收敛性。我们使用分段线性和连续有限元的近似的状态和共态变量,而控制变量通过分段恒定函数近似。提供了数值实验以说明我们的理论结果。

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