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In this paper we study evolutive first order Mean Field Games in the Heisenberg group~$\He^1$; each agent can move only along "horizontal" trajectories which are given in terms of the vector fields generating~$\He^1$ and the kinetic part of…

偏微分方程分析 · 数学 2021-01-27 Paola Mannucci , Claudio Marchi , Nicoletta Tchou

We study first order evolutive Mean Field Games where the Hamiltonian is non-coercive. This situation occurs, for instance, when some directions are "forbidden" to the generic player at some points. We establish the existence of a weak…

偏微分方程分析 · 数学 2018-12-03 Paola Mannucci , Claudio Marchi , Carlo Mariconda , Nicoletta Tchou

We study first order evolutive Mean Field Games whose operators are non-coercive. This situation occurs, for instance, when some directions are `forbidden' to the generic player at some points. Under some regularity assumptions, we…

偏微分方程分析 · 数学 2019-03-14 Paola Mannucci , Claudio Marchi , Carlo Mariconda , Nicoletta Tchou

Quasi-stationary Mean Field Games models consider agents who base their strategies on current information without forecasting future states. In this paper we address the first-order quasi-stationary Mean Field Games system, which involves…

最优化与控制 · 数学 2024-09-30 Fabio Camilli , Claudio Marchi , Cristian Mendico

We study the existence of classical solutions to a broad class of local, first order, forward-backward Extended Mean Field Games systems, that includes standard Mean Field Games, Mean Field Games with congestion, and mean field type control…

偏微分方程分析 · 数学 2023-01-12 Sebastian Munoz

We provide a representation of the weak solution of the continuity equation on the Heisenberg group $\mathbb H^1$ with periodic data (the periodicity is suitably adapted to the group law). This solution is the push forward of a measure…

偏微分方程分析 · 数学 2024-06-05 Alessandra Cutrì , Paola Mannucci , Claudio Marchi , Nicoletta Tchou

In this paper we study second order stationary Mean Field Game systems under density constraints on a bounded domain $\Omega \subset \mathbb{R}^d$. We show the existence of weak solutions for power-like Hamiltonians with arbitrary order of…

偏微分方程分析 · 数学 2016-03-04 Alpár Richárd Mészáros , Francisco J. Silva

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 representing the spatial position as well as velocity. We consider…

偏微分方程分析 · 数学 2024-03-20 David M. Ambrose , Megan Griffin-Pickering , Alpár R. Mészáros

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…

偏微分方程分析 · 数学 2025-12-02 Antonio Siconolfi

In this note we prove the uniqueness of solutions to a class of Mean Field Games systems subject to possibly degenerate individual noise. Our results hold true for arbitrary long time horizons and for general non-separable Hamiltonians that…

偏微分方程分析 · 数学 2023-08-23 Alpár R. Mészáros , Chenchen Mou

We consider the variational approach to prove the existence of solutions of second order stationary Mean Field Games on a bounded domain $\Omega\subseteq \mathbb{R}^{d}$, with Neumann boundary conditions, and with and without density…

偏微分方程分析 · 数学 2017-04-19 Alpár Richárd Mészáros , Francisco J. Silva

The framework of Mean-field Games (MFGs) is used for modelling the collective dynamics of large populations of non-cooperative decision-making agents. We formulate and analyze a kinetic MFG model for an interacting system of non-cooperative…

最优化与控制 · 数学 2024-07-29 Piyush Grover , Mandy Huo

Mean-field games (MFGs) are models for large populations of competing rational agents that seek to optimize a suitable functional. In the case of congestion, this functional takes into account the difficulty of moving in high-density areas.…

偏微分方程分析 · 数学 2017-10-05 David Evangelista , Rita Ferreira , Diogo A. Gomes , Levon Nurbekyan , Vardan Voskanyan

First order kinetic mean field games formally describe the Nash equilibria of deterministic differential games where agents control their acceleration, asymptotically in the limit as the number of agents tends to infinity. The known results…

偏微分方程分析 · 数学 2022-07-12 Megan Griffin-Pickering , Alpár R. Mészáros

This paper is devoted to finite horizon deterministic mean field games in which the state space is a network. The agents control their velocity, and when they occupy a vertex, they can enter into any incident edge. The running and terminal…

最优化与控制 · 数学 2023-11-21 Yves Achdou , Paola Mannucci , Claudio Marchi , Nicoletta Tchou

This manuscript discusses planning problems for first- and second-order one-dimensional mean-field games (MFGs). These games are comprised of a Hamilton-Jacobi equation coupled with a Fokker-Planck equation. Applying Poincar\'e's Lemma to…

偏微分方程分析 · 数学 2021-04-27 Tigran Bakaryan , Rita Ferreira , Diogo Gomes

We consider a class of Mean Field Games in which the agents may interact through the statistical distribution of their states and controls. It is supposed that the Hamiltonian behaves like a power of its arguments as they tend to infinity,…

偏微分方程分析 · 数学 2020-06-24 Z Kobeissi

H\"older stability estimate and uniqueness are proven for a retrospective problem of Mean Field Games with a non-quadratic Hamiltonian. The previous result was only for the quadratic Hamiltonian. The main tool is the apparatus of Carleman…

偏微分方程分析 · 数学 2023-11-02 Michael V. Klibanov , Mikhail Y. Kokurin , Jingzhi Li

We consider variational Mean Field Games endowed with a constraint on the maximal density of the distribution of players. Minimizers of the variational formulation are equilibria for a game where both the running cost and the final cost of…

偏微分方程分析 · 数学 2019-06-19 Hugo Lavenant , Filippo Santambrogio

The goal of this paper is to show existence of short-time classical solutions to the so called Master Equation of \emph{first order} Mean Field Games, which can be thought of as the limit of the corresponding master equation of a stochastic…

偏微分方程分析 · 数学 2019-08-20 Sergio Mayorga
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