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Mean field game master equations with anti-monotonicity conditions

Chenchen Mou*, Jianfeng Zhang

*Corresponding author for this work

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

17 Downloads (CityUHK Scholars)

Abstract

It is well known that the monotonicity condition, either in Lasry–Lions sense or in displacement sense, is crucial for the global well-posedness of mean field game master equations, as well as for the uniqueness of mean field equilibria and solutions to mean field game systems. In the literature, the monotonicity conditions are always taken in a fixed direction. In this paper, we propose a new type of monotonicity condition in the opposite direction, which we call the anti-monotonicity condition, and establish the global well-posedness for mean field game master equations with non-separable Hamiltonians. Our anti-monotonicity condition allows our data to violate both the Lasry–Lions monotonicity and the displacement monotonicity conditions. © 2024 European Mathematical Society.
Original languageEnglish
Pages (from-to)4469-4499
Number of pages31
JournalJournal of the European Mathematical Society
Volume27
Issue number11
Online published18 Apr 2024
DOIs
Publication statusPublished - 2025

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Funding

∗Dept. of Math., City University of Hong Kong. E-mail: [email protected]. This author is supported in part by CityU Start-up Grant 7200684 and Hong Kong RGC Grant ECS 9048215. †Dept. of Math., University of Southern California. E-mail: [email protected]. This author is supported in part by NSF grants DMS-1908665 and DMS-2205972.

Research Keywords

  • master equation
  • mean field games
  • Lasry–Lions monotonicity
  • displacement monotonicity
  • anti-monotonicity

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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