Inverse problems for mean field games

H Liu, C Mou, S Zhang - Inverse Problems, 2023 - iopscience.iop.org
The theory of mean field games (MFGs) studies the limiting behaviors of large systems
where the agents interact with each other in a certain symmetric way. The running and …

Global well-posedness of displacement monotone degenerate mean field games master equations

M Bansil, AR Mészáros, C Mou - arXiv preprint arXiv:2308.16167, 2023 - arxiv.org
In this manuscript we construct global in time classical solutions to mean field games master
equations in the lack of idiosyncratic noise in the individual agents' dynamics. These include …

Linear and nonlinear transport equations with coordinate-wise increasing velocity fields

PL Lions, B Seeger - Annales de l'Institut Henri Poincaré C, 2024 - ems.press
We consider linear and nonlinear transport equations with irregular velocity fields, motivated
by models coming from mean field games. The velocity fields are assumed to increase in …

Linear-quadratic mean field control with non-convex data

M Li, C Mou, Z Wu, C Zhou - arXiv preprint arXiv:2311.18292, 2023 - arxiv.org
In this manuscript, we study a class of linear-quadratic (LQ) mean field control problems with
a common noise and their corresponding $ N $-particle systems. The mean field control …

Kinetic-type Mean Field Games with Non-separable Local Hamiltonians

DM Ambrose, M Griffin-Pickering… - arXiv preprint arXiv …, 2024 - arxiv.org
We prove well-posedness of a class of kinetic-type Mean Field Games, which typically arise
when agents control their acceleration. Such systems include independent variables …

Relative Arbitrage Opportunities in an Extended Mean Field System

NT Yang, T Ichiba - arXiv preprint arXiv:2311.02690, 2023 - arxiv.org
This paper studies relative arbitrage opportunities in a market with infinitely many interacting
investors. We establish a conditional McKean-Vlasov system to study the market dynamics …

[PDF][PDF] New Trends and Challenges in Stochastic Differential Games

P Cardaliaguet, M Grigorova, T Mastrolia, J Qiu… - 2024 - birs.ca
Here Xi=(Xi (t)) t≥ 0 is the i-th player's state process driven by the noise process Wi=(Wi (t))
t∈≥ 0 and subject to all players' strategies (v1,···, vN). Each player has the individual …