ON THE CONNECTION BETWEEN SYMMETRIC N-PLAYER GAMES AND MEAN FIELD GAMES
成果类型:
Article
署名作者:
Fischer, Markus
署名单位:
University of Padua
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/16-AAP1215
发表日期:
2017
页码:
757-810
关键词:
nonlinear parabolic equations
摘要:
Mean field games are limit models for symmetric N-player games with interaction of mean field type as N -> infinity. The limit relation is often understood in the sense that a solution of a mean field game allows to construct approximate Nash equilibria for the corresponding N-player games. The opposite direction is of interest, too: When do sequences of Nash equilibria converge to solutions of an associated mean field game? In this direction, rigorous results are mostly available for stationary problems with ergodic costs. Here, we identify limit points of sequences of certain approximate Nash equilibria as solutions to mean field games for problems with Ito-type dynamics and costs over a finite time horizon. Limits are studied through weak convergence of associated normalized occupation measures and identified using a probabilistic notion of solution for mean field games.