The goal of this thesis is to analyze the limiting behavior of solutions to a system of mean field games developed by Chan and Sircar to model Bertrand and Cournot competition. We first provide a basic introduction to control theory, game theory, and ultimately mean field game theory. With these preliminaries out of the way, we then introduce the model first proposed by Chan and Sircar, namely a coupled system of two nonlinear partial differential equations. This model contains a parameter ε that measures the degree of interaction between players; we are interested in the regime ε goes to 0. We then prove a collection of theorems which give estimates on the limiting behavior of solutions as ε goes to 0 and ultimately obtain recursive growth...
We consider N-person differential games involving linear systems affected by white noise, running co...
The purpose of this paper is to provide a complete probabilistic analysis of a large class of stocha...
ABSTRACT. The purpose of this paper is to provide a complete probabilistic analysis of a large class...
We survey here some recent studies concerning what we call mean-field models by analogy with Statist...
These notes are an introduction to Mean Field Game (MFG) theory, which models differential games inv...
The present thesis studies new possible approaches to Mean Field Game inspired by Mechanism Design a...
The purpose of this short article is to address a simple example of a game with a large number of pl...
The Mean Field Games Theory was born to describe the behaviour of a N players system, which play the...
International audienceIn this paper, we explore Bertrand and Cournot Mean Field Games models for mar...
The purpose of this short article is to address a simple example of a game with a large number of pl...
We discuss and compare two methods of investigations for the asymptotic regime of stochastic differe...
This thesis deals with the theory of mean field games (MFG for short). The main part is dedicated to...
AbstractIn this article, we present a reference case of mean field games. This case can be seen as a...
International audienceMean field type models describing the limiting behavior of stochastic differen...
Mean field type models describing the limiting behavior of stochastic differential games as the numb...
We consider N-person differential games involving linear systems affected by white noise, running co...
The purpose of this paper is to provide a complete probabilistic analysis of a large class of stocha...
ABSTRACT. The purpose of this paper is to provide a complete probabilistic analysis of a large class...
We survey here some recent studies concerning what we call mean-field models by analogy with Statist...
These notes are an introduction to Mean Field Game (MFG) theory, which models differential games inv...
The present thesis studies new possible approaches to Mean Field Game inspired by Mechanism Design a...
The purpose of this short article is to address a simple example of a game with a large number of pl...
The Mean Field Games Theory was born to describe the behaviour of a N players system, which play the...
International audienceIn this paper, we explore Bertrand and Cournot Mean Field Games models for mar...
The purpose of this short article is to address a simple example of a game with a large number of pl...
We discuss and compare two methods of investigations for the asymptotic regime of stochastic differe...
This thesis deals with the theory of mean field games (MFG for short). The main part is dedicated to...
AbstractIn this article, we present a reference case of mean field games. This case can be seen as a...
International audienceMean field type models describing the limiting behavior of stochastic differen...
Mean field type models describing the limiting behavior of stochastic differential games as the numb...
We consider N-person differential games involving linear systems affected by white noise, running co...
The purpose of this paper is to provide a complete probabilistic analysis of a large class of stocha...
ABSTRACT. The purpose of this paper is to provide a complete probabilistic analysis of a large class...