Risk-neutral PDE-constrained generalized Nash equilibrium problems

• 成果类型: Article
• 署名作者: Gahururu, Deborah B.; Hintermueller, Michael; Surowiec, Thomas M.
• 署名单位: Philipps University Marburg; Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; Humboldt University of Berlin
• 刊物名称: MATHEMATICAL PROGRAMMING
• ISSN/ISSBN: 0025-5610
• DOI: 10.1007/s10107-022-01800-z
• 发表日期: 2023
• 页码: 1287-1337
• 关键词: path-following methods; trust-region algorithm; stochastic collocation; multiobjective control; optimality conditions; pointwise control; optimization; minimization; EXISTENCE

摘要

A class of risk-neutral generalized Nash equilibrium problems is introduced in which the feasible strategy set of each player is subject to a common linear elliptic partial differential equation with random inputs. In addition, each player's actions are taken from a bounded, closed, and convex set on the individual strategies and a bound constraint on the common state variable. Existence of Nash equilibria and first-order optimality conditions are derived by exploiting higher integrability and regularity of the random field state variables and a specially tailored constraint qualification for GNEPs with the assumed structure. A relaxation scheme based on the Moreau-Yosida approximation of the bound constraint is proposed, which ultimately leads to numerical algorithms for the individual player problems as well as the GNEP as a whole. The relaxation scheme is related to probability constraints and the viability of the proposed numerical algorithms are demonstrated via several examples.