Obstacle mean-field game problem
Interfaces and free boundaries, Tome 17 (2015) no. 1, pp. 55-68

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DOI

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.
DOI : 10.4171/ifb/333
Classification : 35-XX, 49-XX
Mots-clés : Mean-field games, obstacle problem, penalization method

Diogo A. Gomes  1   ; Stefania Patrizi  2

1 King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
2 Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany
Diogo A. Gomes; Stefania Patrizi. Obstacle mean-field game problem. Interfaces and free boundaries, Tome 17 (2015) no. 1, pp. 55-68. doi: 10.4171/ifb/333
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