Mean Field Games Master Equations with Non-separable Hamiltonians and Displacement Monotonicity
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Abstract (arXiv)
In this manuscript, we propose a structural condition on non-separable Hamiltonians, which we term displacement monotonicity condition, to study second order mean field games master equations. A rate of dissipation of a bilinear form is brought to bear a global (in time) well-posedness theory, based on a--priori uniform Lipschitz estimates on the solution in the measure variable. Displacement monotonicity being sometimes in dichotomy with the widely used Lasry-Lions monotonicity condition, the novelties of this work persist even when restricted to separable Hamiltonians.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Jan 2021.
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Citing papers per year: 2024: 3; 2025: 0; 2026: 1.
4 papers.
- 2024Unified continuous-time q-learning for mean-field game and mean-field control problemscited by 7
- 2024Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problemscited by 7
- 2024Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample sizecited by 0
- 2026Nesterov acceleration in optimizing over probability measurescited by 0
- 2026Nesterov acceleration in optimizing over probability measures25 Jul 2026
- 2024Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems24 Sep 2024
- 2024Unified continuous-time q-learning for mean-field game and mean-field control problems5 Jul 2024
- 2024Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size8 Apr 2024