Abstract.

This paper is dedicated to the stability analysis of the optimal solutions of a control problem associated with a semilinear elliptic equation. The linear differential operator of the equation is neither monotone nor coercive due to the presence of a convection term. The control appears only linearly, or may not even appear explicitly in the objective functional. Under new assumptions, we prove Lipschitz stability of the optimal controls and associated states with respect to not only perturbations in the equation and the objective functional but also the Tikhonov regularization parameter.

Keywords

  1. semilinear elliptic equations
  2. optimality conditions
  3. stability analysis
  4. Tikhonov regularization

MSC codes

  1. 35J61
  2. 49J20
  3. 49K20
  4. 49K40

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References

1.
T. Bayen, F. Bonnans, and F. Silva, Characterization of local quadratic growth for strong minima in the optimal control of semi-linear elliptic equations, Trans. Amer. Math. Soc., 366 (2014), pp. 2063–2087.
2.
T. Bayen and F. J. Silva, Second order analysis for strong solutions in the optimal control of parabolic equations, SIAM J. Control Optim., 54 (2016), pp. 819–844, https://doi.org/10.1137/141000415.
3.
E. Casas and M. Mateos, Critical cones for sufficient second order conditions in PDE constrained optimization, SIAM J. Optim., 30 (2020), pp. 585–603, https://doi.org/10.1137/19M1258244.
4.
E. Casas and M. Mateos, State error estimates for the numerical approximation of sparse distributed control problems in the absence of Tikhonov regularization, Vietnam J. Math., 49 (2021), pp. 713–738.
5.
E. Casas, M. Mateos, and A. Rösch, Error estimates for semilinear parabolic control problems in the absence of Tikhonov term, SIAM J. Control Optim., 57 (2019), pp. 2515–2540, https://doi.org/10.1137/18M117220X.
6.
E. Casas, M. Mateos, and A. Rösch, Analysis of control problems of nonmonotone semilinear elliptic equations, ESAIM Control Optim. Calc. Var., 26 (2020), 80.
7.
E. Casas, C. Ryll, and F. Tröltzsch, Second order and stability analysis for optimal sparse control of the FitzHugh–Nagumo equation, SIAM J. Control Optim., 53 (2015), pp. 2168–2202, https://doi.org/10.1137/140978855.
8.
E. Casas and F. Tröltzsch, Second order analysis for optimal control problems: Improving results expected from abstract theory, SIAM J. Optim., 22 (2012), pp. 261–279, https://doi.org/10.1137/110840406.
9.
A. D. Corella, N. Jork, and V. Veliov, Stability in affine optimal control problems constrained by semilinear elliptic partial differential equations, ESAIM Control Optim. Calc. Var., 28 (2022), 79.
10.
A. Dontchev, W. Hager, A. Poore, and B. Yang, Optimality, stability, and convergence in nonlinear control, Appl. Math. Optim., 31 (1995), pp. 297–326.
11.
J. Dunn, Second-order optimality conditions in sets of \({\rm L}^\infty\) functions with range in a polyhedron, SIAM J. Control Optim., 33 (1995), pp. 1603–1635, https://doi.org/10.1137/S036301299224031X.
12.
J. Dunn, On second order sufficient conditions for structured nonlinear programs in infinite-dimensional function spaces, in Mathematical Programming with Data Perturbations, A. Fiacco, ed., Marcel Dekker, New York, 1998, pp. 83–107.
13.
D. Gilbarg and N. Trudinger, Elliptic Partial Differential Equations of Second Order, Springer-Verlag, Berlin, Heidelberg, 1983.
14.
R. Griesse, Lipschitz stability of solutions to some state-constrained elliptic optimal control problems, Z Anal. Anwend., 25 (2006), pp. 435–455.
15.
M. Hinze and C. Meyer, Stability of semilinear elliptic optimal control problems with pointwise state constraints, Comput. Optim. Appl., 52 (2012), pp. 87–114.
16.
B. T. Kien, N. Q. Tuan, C.-F. Wen, and J.-C. Yao, \(L^\infty\) -stability of a parametric optimal control problem governed by semilinear elliptic equations, Appl. Math. Optim., 84 (2021), pp. 849–876.
17.
K. Malanowski and F. Tröltzsch, Lipschitz stability of solutions to parametric optimal control for elliptic equations, Control Cybernet., 29 (2000), pp. 237–256.
18.
H. Maurer, First and second-order sufficient optimality conditions in mathematical programming and optimal control, Math. Program. Study, 14 (1981), pp. 163–177.
19.
H. Maurer and J. Zowe, First and second order necessary and sufficient optimality conditions for infinite-dimensional programming problems, Math. Program., 16 (1979), pp. 98–110.
20.
F. Pörner and D. Wachsmuth, Tikhonov regularization of optimal control problems governed by semi-linear partial differential equations, Math. Control Relat. Fields, 8 (2018), pp. 315–335.
21.
N. T. Qui and D. Wachsmuth, Stability for bang-bang control problems of partial differential equations, Optimization, 67 (2018), pp. 2157–2177.
22.
N. S. Trudinger, Linear elliptic operators with measurable coefficients, Ann. Scuola Norm. Sup. Pisa Cl. Sci. (3), 27 (1973), pp. 265–308.
23.
N. von Daniels, Tikhonov regularization of control-constrained optimal control problems, Comput. Optim. Appl., 70 (2018), pp. 295–320.
24.
D. Wachsmuth and G. Wachsmuth, Convergence and regularisation results for optimal control problems with sparsity functional, ESAIM Control Optim. Calc. Var., 17 (2011), pp. 858–886.
25.
D. Wachsmuth and G. Wachsmuth, Regularization, error estimates and discrepancy principle for optimal control problems with inequality constraints, Control Cybernet., 40 (2011), pp. 1125–1158.

Information & Authors

Information

Published In

cover image SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
Pages: 1394 - 1414
ISSN (online): 1095-7138

History

Submitted: 21 April 2022
Accepted: 20 December 2022
Published online: 12 June 2023

Keywords

  1. semilinear elliptic equations
  2. optimality conditions
  3. stability analysis
  4. Tikhonov regularization

MSC codes

  1. 35J61
  2. 49J20
  3. 49K20
  4. 49K40

Authors

Affiliations

Departamento de Matemática Aplicada y Ciencias de la Computación, ETSI Industriales y de Telecomunicación, Universidad de Cantabria, Santander 39005, España.
Alberto Domínguez Corella
Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology, 1050 Vienna, Austria.
Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology, 1050 Vienna, Austria.

Funding Information

Ministerio de Ciencia e Innovacion (MCIN): PID2020-114837GB-I00
Funding: The first author was supported by MCIN/AEI/10.13039/501100011033/ under research project PID2020-114837GB-I00. The second and third authors were supported by the Austrian Science Foundation (FWF) under grant I4571.

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