Weierstraß-Institut für Angewandte Analysis und Stochastik Leibniz-Institut im Forschungsverbund Berlin e. V. Preprint ISSN 2198-5855 On the convexity of optimal control problems involving non-linear PDEs or VIs and applications to Nash games Michael Hintermüller1,2, Steven-Marian Stengl1,2 submitted: September 11, 2020 1 Weierstrass Institute 2 Humboldt-Universität zu Berlin Mohrenstr. 39 Unter den Linden 6 10117 Berlin 10099 Berlin Germany Germany E-Mail:
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[email protected] [email protected] [email protected] No. 2759 Berlin 2020 2010 Mathematics Subject Classification. 06B99, 49K21, 47H04, 49J40. Key words and phrases. PDE-constrained optimization, K-Convexity, set-valued analysis, subdifferential, semilinear elliptic PDEs, variational inequality. This research was supported by the DFG under the grant HI 1466/10-1 associated to the project “Generalized Nash Equilibrium Problems with Partial Differential Operators: Theory, Algorithms, and Risk Aversion” within the priority pro- gramme SPP1962 “Non-smooth and Complementarity-based Distributed Parameter Systems: Simulation and Hierarchical Optimization”. Edited by Weierstraß-Institut für Angewandte Analysis und Stochastik (WIAS) Leibniz-Institut im Forschungsverbund Berlin e. V. Mohrenstraße 39 10117 Berlin Germany Fax: +49 30 20372-303 E-Mail:
[email protected] World Wide Web: http://www.wias-berlin.de/ On the convexity of optimal control problems involving non-linear PDEs or VIs and applications to Nash games Michael Hintermüller, Steven-Marian Stengl Abstract Generalized Nash equilibrium problems in function spaces involving PDEs are considered. One of the central issues arising in this context is the question of existence, which requires the topological characterization of the set of minimizers for each player of the associated Nash game.