Convergence to the Mean Field Game Limit: A Case Study
Author
dc.contributor.author
Nutz, Marcel
Author
dc.contributor.author
San Martín, Jaime
Author
dc.contributor.author
Tan, Xiaowei
Admission date
dc.date.accessioned
2020-05-06T00:01:25Z
Available date
dc.date.available
2020-05-06T00:01:25Z
Publication date
dc.date.issued
2020
Cita de ítem
dc.identifier.citation
Annals of Applied Probability Volume: 30 Issue: 1 Pages: 259-286 Feb 2020
es_ES
Identifier
dc.identifier.other
10.1214/19-AAP1501
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/174424
Abstract
dc.description.abstract
We study the convergence of Nash equilibria in a game of optimal stopping. If the associated mean field game has a unique equilibrium, any sequence of n-player equilibria converges to it as n -> infinity. However, both the finite and infinite player versions of the game often admit multiple equilibria. We show that mean field equilibria satisfying a transversality condition are limit points of n-player equilibria, but we also exhibit a remarkable class of mean field equilibria that are not limits, thus questioning their interpretation as "large n" equilibria.
es_ES
Patrocinador
dc.description.sponsorship
Alfred P. Sloan Foundation
National Science Foundation (NSF)
DMS1512900
DMS-1812661
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT PIA/BASAL
AFB170001