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Unconditional well-posedness of the master equation for monotone mean field games of controls

Joe Jackson, Alpár R. Mészáros

TL;DR

This work proves unconditional well-posedness for the master equation of monotone mean field games of controls (MFGC) by a bottom-up compactness approach that avoids the generalized method of characteristics. It establishes uniform, high-order derivative bounds for the $N$-player Nash systems and shows these bounds yield tight compactness, allowing convergence to a classical solution of the master equation under displacement semi-monotonicity or Lasry–Lions monotonicity. The analysis handles both idiosyncratic and common noise and relies on a careful fixed-point structure via the map $\Phi$ and its finite-dimensional approximations $\bm{a}^N$. In the displacement semi-monotone setting, one obtains a global-in-time solution; in the LL-monotone setting, global well-posedness follows from propagation of LL-monotonicity. Overall, the paper advances the understanding of MFGC master equations by showing regularity and solvability emerge from monotonicity and data regularity rather than extra structure on fixed-point mappings.

Abstract

We establish the first unconditional well-posedness result for the master equation associated with a general class of mean field games of controls. Our analysis covers games with displacement monotone or Lasry--Lions monotone data, as well as those with a small time horizon. By unconditional, we mean that all assumptions are imposed solely at the level of the Lagrangian and the terminal cost. In particular, we do not require any a priori regularity or structural assumptions on the additional fixed-point mappings arising from the control interactions; instead we show that these fixed-point mappings are well-behaved as a consequence of the regularity and the monotonicity of the data. Our approach is bottom-up in nature, unlike most previous results which rely on a generalized method of characteristics. In particular, we build a classical solution of the master equation by showing that the solutions of the corresponding $N$-player Nash systems are compact, in an appropriate sense, and that their subsequential limit points must be solutions to the master equation. Compactness is obtained via uniform-in-$N$ decay estimates for derivatives of the $N$-player value functions. The underlying games are driven by non-degenerate idiosyncratic Brownian noise, and our results allow for the presence of common noise with constant intensity.

Unconditional well-posedness of the master equation for monotone mean field games of controls

TL;DR

This work proves unconditional well-posedness for the master equation of monotone mean field games of controls (MFGC) by a bottom-up compactness approach that avoids the generalized method of characteristics. It establishes uniform, high-order derivative bounds for the -player Nash systems and shows these bounds yield tight compactness, allowing convergence to a classical solution of the master equation under displacement semi-monotonicity or Lasry–Lions monotonicity. The analysis handles both idiosyncratic and common noise and relies on a careful fixed-point structure via the map and its finite-dimensional approximations . In the displacement semi-monotone setting, one obtains a global-in-time solution; in the LL-monotone setting, global well-posedness follows from propagation of LL-monotonicity. Overall, the paper advances the understanding of MFGC master equations by showing regularity and solvability emerge from monotonicity and data regularity rather than extra structure on fixed-point mappings.

Abstract

We establish the first unconditional well-posedness result for the master equation associated with a general class of mean field games of controls. Our analysis covers games with displacement monotone or Lasry--Lions monotone data, as well as those with a small time horizon. By unconditional, we mean that all assumptions are imposed solely at the level of the Lagrangian and the terminal cost. In particular, we do not require any a priori regularity or structural assumptions on the additional fixed-point mappings arising from the control interactions; instead we show that these fixed-point mappings are well-behaved as a consequence of the regularity and the monotonicity of the data. Our approach is bottom-up in nature, unlike most previous results which rely on a generalized method of characteristics. In particular, we build a classical solution of the master equation by showing that the solutions of the corresponding -player Nash systems are compact, in an appropriate sense, and that their subsequential limit points must be solutions to the master equation. Compactness is obtained via uniform-in- decay estimates for derivatives of the -player value functions. The underlying games are driven by non-degenerate idiosyncratic Brownian noise, and our results allow for the presence of common noise with constant intensity.
Paper Structure (17 sections, 36 theorems, 349 equations)

This paper contains 17 sections, 36 theorems, 349 equations.

Key Result

Theorem 1.1

Suppose that the Lagrangian $L$ and terminal cost function $G$ satisfy suitable regularity and growth properties at infinity.

Theorems & Definitions (72)

  • Theorem 1.1: Informal summary of main results
  • Remark 2.5
  • Remark 2.7
  • Lemma 2.8
  • Theorem 2.9: Classical solutions under displacement semi-monotonicity
  • Theorem 2.10: Classical solutions under Lasry--Lions monotonicity
  • Remark 2.11
  • Proposition 3.1
  • Proposition 3.2
  • Lemma 3.3
  • ...and 62 more