Differential and Variational Approach to First Order Mean Field Games in a Generalized Form
Antonio Siconolfi

TL;DR
This paper develops a unified framework connecting differential and variational approaches to first order Mean Field Games, proving existence of solutions and characterizing their properties without requiring strong regularity assumptions.
Contribution
It introduces a general fixed point approach for first order Mean Field Games, bridging differential and variational methods under minimal regularity conditions.
Findings
Existence of fixed points for broad classes of Hamiltonians.
Evaluation curves solve continuity equations driven by associated vector fields.
The framework unifies differential and variational perspectives in Mean Field Games.
Abstract
We investigate time dependent, first order Mean Field Games on the torus comparing, in a broad and general framework, the classical differential formulation , given by a Hamilton Jacobi equation coupled with a continuity equation, with a variational approach based on fixed points of a multivalued map acting on probability measures over trajectories. We prove existence of fixed points for very general Hamiltonians. When the Hamiltonian is differentiable with respect to the momentum, we show that the evaluation curve of any such fixed point solves a continuity equation driven by a vector field associated with the final condition in the Hamilton Jacobi equation. This field is defined without requiring additional regularity conditions on the value function solving the Hamilton--Jacobi equation. The field coincides with the classical vector field of Mean Field Systems at…
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Taxonomy
TopicsOptimization and Variational Analysis · Spacecraft Dynamics and Control · Quantum chaos and dynamical systems
