Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionApplied Mathematics and Computational Science Program
Date
2013-04-23Online Publication Date
2013-04-23Print Publication Date
2013-08Permanent link to this record
http://hdl.handle.net/10754/562726
Metadata
Show full item recordAbstract
In this paper we consider symmetric games where a large number of players can be in any one of d states. We derive a limiting mean field model and characterize its main properties. This mean field limit is a system of coupled ordinary differential equations with initial-terminal data. For this mean field problem we prove a trend to equilibrium theorem, that is convergence, in an appropriate limit, to stationary solutions. Then we study an N+1-player problem, which the mean field model attempts to approximate. Our main result is the convergence as N→∞ of the mean field model and an estimate of the rate of convergence. We end the paper with some further examples for potential mean field games. © 2013 Springer Science+Business Media New York.Citation
Gomes, D. A., Mohr, J., & Souza, R. R. (2013). Continuous Time Finite State Mean Field Games. Applied Mathematics & Optimization, 68(1), 99–143. doi:10.1007/s00245-013-9202-8Sponsors
D. Gomes was partially supported by CAMGSD-LARSys through FCT-Portugal and by grants PTDC/MAT-CAL/0749/2012, UTA-CMU/MAT/0007/2009 PTDC/MAT/114397/2009, UTAustin-MAT/0057/2008, and by the bilateral agreement Brazil-Portugal (CAPES-FCT) 248/09. R.R.S. was partially supported by the bilateral agreement Brazil-Portugal (CAPES-FCT) 248/09. J.M. was partially supported by the bilateral agreement Brazil-Portugal (CAPES-FCT) 248/09.Publisher
Springer Science and Business Media LLCarXiv
1203.3173Additional Links
http://link.springer.com/10.1007/s00245-013-9202-8http://arxiv.org/pdf/1203.3173.pdf
ae974a485f413a2113503eed53cd6c53
10.1007/s00245-013-9202-8