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A note on non-coercive first order Mean Field Games with analytic data

Authors :
Mannucci, Paola
Marchi, Claudio
Mariconda, Carlo
Tchou, Nicoletta
Publication Year :
2018

Abstract

We study first order evolutive Mean Field Games whose operators are non-coercive. This situation occurs, for instance, when some directions are `forbidden' to the generic player at some points. Under some regularity assumptions, we establish existence of a weak solution of the system. Mainly, we shall describe the evolution of the population's distribution as the push-forward of the initial distribution through a flow, suitably defined in terms of the underlying optimal control problem.<br />Comment: arXiv admin note: text overlap with arXiv:1811.12710

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1805.01147
Document Type :
Working Paper