• Media type: E-Book; Report; Text
  • Title: Obstacle mean-field game problem
  • Contributor: Gomes, Diogo A. [Author]; Patrizi, Stefania [Author]
  • imprint: Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2015
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.34657/2793
  • ISSN: 0946-8633; 2198-5855
  • Keywords: Mean-field games ; Obstacle problem ; Penalization method
  • Origination:
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  • Description: In this paper, we introduce and study a first-order mean-field game obstacle problem. We examine the case of local dependence on the measure under assumptions that include both the logarithmic case and power-like nonlinearities. Since the obstacle operator is not differentiable, the equations for first-order mean field game problems have to be discussed carefully. Hence, we begin by considering a penalized problem. We prove this problem admits a unique solution satisfying uniform bounds. These bounds serve to pass to the limit in the penalized problem and to characterize the limiting equations. Finally, we prove uniqueness of solutions.
  • Access State: Open Access