The aim of the paper is to address the behavior in large population of diffusions interacting on a random, possibly diluted and inhomogeneous graph. This is the natural continuation of a previous work, where the homogeneous Erd\H os-Rényi case was considered. The class of graphs we consider includes disordered W-random graphs, with possibly unbounded graphons. The main result concerns a quenched convergence (that is true for almost every realization of the random graph) of the empirical measure of the system towards the solution of a nonlinear Fokker-Planck PDE with spatial extension, also appearing in different contexts, especially in neuroscience. The convergence of the spatial profile associated to the diffusions is also considered, and ...
We study the critical behavior of inhomogeneous random graphs where edges are present independently ...
In this thesis, we study the synchronization Kuramoto model and more generally systems of mean-field...
In the first half of this thesis, we study the random forest obtained by conditioning the Erdős--Rén...
International audienceWe address the issue of the proximity of interacting diffusion models on large...
We consider a class of particle systems described by differential equations (both stochastic and det...
Abstract. In this work we study a diffusion process in a network that consists of two types of verti...
Consider the random graph on n vertices 1,...,n. Each vertex i is assigned a type x(i) with x(1),......
In this paper we consider random distance graphs motivated by applications in neurobiology. These mo...
The study of large interacting particle systems has broad applications in many scientific fields suc...
Via a Dirichlet form extension theorem and making full use of two-sided heat kernel estimates, we es...
Acknowledgments: This work was financed by the Labex B\'ezout (ANR-10-LABX-58) and the COCOON grant ...
We consider a class of weakly interacting particle systems of mean-field type. The interactions betw...
Abstract. The mean-field limit of systems of rank-based interacting diffusions is known to be descri...
We study the limiting behavior of interacting particle systems indexed by large sparse graphs, which...
International audienceThe mean-field limit of systems of rank-based interacting diffusions is known ...
We study the critical behavior of inhomogeneous random graphs where edges are present independently ...
In this thesis, we study the synchronization Kuramoto model and more generally systems of mean-field...
In the first half of this thesis, we study the random forest obtained by conditioning the Erdős--Rén...
International audienceWe address the issue of the proximity of interacting diffusion models on large...
We consider a class of particle systems described by differential equations (both stochastic and det...
Abstract. In this work we study a diffusion process in a network that consists of two types of verti...
Consider the random graph on n vertices 1,...,n. Each vertex i is assigned a type x(i) with x(1),......
In this paper we consider random distance graphs motivated by applications in neurobiology. These mo...
The study of large interacting particle systems has broad applications in many scientific fields suc...
Via a Dirichlet form extension theorem and making full use of two-sided heat kernel estimates, we es...
Acknowledgments: This work was financed by the Labex B\'ezout (ANR-10-LABX-58) and the COCOON grant ...
We consider a class of weakly interacting particle systems of mean-field type. The interactions betw...
Abstract. The mean-field limit of systems of rank-based interacting diffusions is known to be descri...
We study the limiting behavior of interacting particle systems indexed by large sparse graphs, which...
International audienceThe mean-field limit of systems of rank-based interacting diffusions is known ...
We study the critical behavior of inhomogeneous random graphs where edges are present independently ...
In this thesis, we study the synchronization Kuramoto model and more generally systems of mean-field...
In the first half of this thesis, we study the random forest obtained by conditioning the Erdős--Rén...