On Mean Field Monotonicity Conditions from Control Theoretical Perspective
Alain Bensoussan, Ziyu Huang, Shanjian Tang, Sheung Chi Phillip Yam

TL;DR
This paper explores control-theoretic conditions ensuring well-posedness in mean field games and control problems, introducing a novel quasi-monotonicity condition and linking it to existing convexity and small effect assumptions.
Contribution
It introduces a new displacement quasi-monotonicity condition for MFGs and connects it with established conditions, expanding the theoretical framework for well-posedness analysis.
Findings
The new quasi-monotonicity condition generalizes existing monotonicity conditions.
Convexity and small mean field effect imply $eta$-monotonicity for MFGs.
Convexity alone ensures $eta$-monotonicity for MFTC.
Abstract
In this article, from the viewpoint of control theory, we discuss the relationships among the commonly used monotonicity conditions that ensure the well-posedness of the solutions arising from problems of mean field games (MFGs) and mean field type control (MFTC). We first introduce the well-posedness of general forward-backward stochastic differential equations (FBSDEs) defined on some suitably chosen Hilbert spaces under the -monotonicity. We then propose a monotonicity condition for the MFG, namely partitioning the running cost functional into two parts, so that both parts still depend on the control and the state distribution, yet one satisfies a strong convexity and a small mean field effect condition, while the other has a newly introduced displacement quasi-monotonicity. To the best of our knowledge, the latter quasi type condition has not yet been discussed in the…
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Taxonomy
TopicsAdvanced Control Systems Optimization · Stability and Control of Uncertain Systems · Matrix Theory and Algorithms
