Skip to main content

An Alternative Approach to Mean Field Game with Major and Minor Players, and Applications to Herders Impacts

Author(s): Carmona, Rene; Wang, P

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr1sz90
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCarmona, Rene-
dc.contributor.authorWang, P-
dc.date.accessioned2021-10-11T14:17:26Z-
dc.date.available2021-10-11T14:17:26Z-
dc.date.issued2017-08-01en_US
dc.identifier.citationCarmona, R, Wang, P. (2017). An Alternative Approach to Mean Field Game with Major and Minor Players, and Applications to Herders Impacts. Applied Mathematics and Optimization, 76 (1), 5 - 27. doi:10.1007/s00245-017-9430-4en_US
dc.identifier.issn0095-4616-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1sz90-
dc.description.abstractThe goal of the paper is to introduce a formulation of the mean field game with major and minor players as a fixed point on a space of controls. This approach emphasizes naturally the role played by McKean–Vlasov dynamics in some of the players’ optimization problems. We apply this approach to linear quadratic models for which we recover the existing solutions for open loop equilibria, and we show that we can also provide solutions for closed loop versions of the game. Finally, we implement numerically our theoretical results on a simple model of flocking.en_US
dc.format.extent5 - 27en_US
dc.language.isoen_USen_US
dc.relation.ispartofApplied Mathematics and Optimizationen_US
dc.rightsAuthor's manuscripten_US
dc.titleAn Alternative Approach to Mean Field Game with Major and Minor Players, and Applications to Herders Impactsen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1007/s00245-017-9430-4-
dc.identifier.eissn1432-0606-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

Files in This Item:
File Description SizeFormat 
An Alternative Approach to Mean Field Game with Major and Minor Players, and Applications to Herders Impacts.pdf1.19 MBAdobe PDFView/Download


Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.