Research article

A sharp error analysis for the DG method of optimal control problems

  • Received: 07 September 2021 Revised: 28 February 2022 Accepted: 02 March 2022 Published: 09 March 2022
  • MSC : 49J15, 49M25, 65L05, 65L60

  • In this paper, we are concerned with a nonlinear optimal control problem of ordinary differential equations. We consider a discretization of the problem with the discontinuous Galerkin method with arbitrary order $ r \in \mathbb{N}\cup \{0\} $. Under suitable regularity assumptions on the cost functional and solutions of the state equations, we first show the existence of a local solution to the discretized problem. We then provide sharp estimates for the $ L^2 $-error of the approximate solutions. The convergence rate of the error depends on the regularity of the optimal solution $ \bar{u} $ and its adjoint state with the degree of piecewise polynomials. Numerical experiments are presented supporting the theoretical results.

    Citation: Woocheol Choi, Young-Pil Choi. A sharp error analysis for the DG method of optimal control problems[J]. AIMS Mathematics, 2022, 7(5): 9117-9155. doi: 10.3934/math.2022506

    Related Papers:

  • In this paper, we are concerned with a nonlinear optimal control problem of ordinary differential equations. We consider a discretization of the problem with the discontinuous Galerkin method with arbitrary order $ r \in \mathbb{N}\cup \{0\} $. Under suitable regularity assumptions on the cost functional and solutions of the state equations, we first show the existence of a local solution to the discretized problem. We then provide sharp estimates for the $ L^2 $-error of the approximate solutions. The convergence rate of the error depends on the regularity of the optimal solution $ \bar{u} $ and its adjoint state with the degree of piecewise polynomials. Numerical experiments are presented supporting the theoretical results.



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