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Existence of
positive solutions for an approximation of stationary
mean-field games
Nojood Almayouf, Elena Bachini, Andreia Chapouto, Rita
Ferreira, Diogo Gomes, Daniela Jordão, David Evangelista
Junior, Avetik Karagulyan, Juan Monasterio, Levon Nurbekyan,
Giorgia Pagliar, Marco Piccirilli, Sagar Pratapsi, Mariana
Prazeres, João Reis, André Rodrigues, Orlando Romero, Maria
Sargsyan, Tommaso Seneci, Chuliang Song, Kengo Terai, Ryota
Tomisaki, Hector Velasco-Perez, Vardan Voskanyan and Xianjin
Yang
Vol. 10 (2017), No. 3, 473–493
Abstract
Here, we consider a regularized mean-field game model that features a low-order
regularization. We prove the existence of solutions with positive density. To do so, we
combine a priori estimates with the continuation method. In contrast with
high-order regularizations, the low-order regularizations are easier to implement
numerically. Moreover, our methods give a theoretical foundation for this
approach.
Keywords
mean-field games, low-order regularizations, monotone
methods, positive solutions
Mathematical Subject Classification 2010
Primary: 49L25, 91A13, 35J87
Milestones
Received: 12 January 2016
Revised: 21 March 2016
Accepted: 15 April 2016
Published: 14 December 2016
Communicated by Kenneth S. Berenhaut
© 2017 MSP (Mathematical Sciences
Publishers).