Mean field games of controls: Propagation of monotonicities

Chenchen Mou, Jianfeng Zhang*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Citations (Scopus)

Abstract

The theory of Mean Field Game of Controls considers a class of mean field games where the interaction is through the joint distribution of the state and control. It is well known that, for standard mean field games, certain monotonicity conditions are crucial to guarantee the uniqueness of mean field equilibria and then the global wellposedness for master equations. In the literature the monotonicity condition could be the Lasry–Lions monotonicity, the displacement monotonicity, or the anti-monotonicity conditions. In this paper, we investigate these three types of monotonicity conditions for Mean Field Games of Controls and show their propagation along the solutions to the master equations with common noises. In particular, we extend the displacement monotonicity to semi-monotonicity, whose propagation result is new even for standard mean field games. This is the first step towards the global wellposedness theory for master equations of Mean Field Games of Controls.
Original languageEnglish
Pages (from-to)247-274
JournalProbability, Uncertainty and Quantitative Risk
Volume7
Issue number3
Online published28 Sept 2022
DOIs
Publication statusPublished - Sept 2022

Funding

Chenchen Mou is supported in part by CityU Start-up(Grant No. 7200684) and Hong Kong RGC(Grant No. ECS 9048215). Jianfeng Zhang is supported in part by NSF (Grant Nos. DMS-1908665 and DMS-2205972).

Research Keywords

  • Anti-monotonicity
  • Displacement semi-monotonicity
  • Lasry–Lions monotonicity
  • Master equation
  • Mean field game of controls

RGC Funding Information

  • RGC-funded

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