We study the asymptotic behaviour of some mesoscopic stochastic models for systems of reacting and diffusing particles (also known as density-dependent population processes) as the number of particles goes to infinity. Our approach is related to the variational approach to solving the parabolic partial differential equations that arise as limit dynamics. We first present a result for a model that converges to a classical system of reaction-diffusion equations. In addition, we discuss two models with nonlinear diffusion that give rise to quasilinear parabolic equations in the limit
We study a continuous-time discrete population structured by a vector of ages. Individuals reproduc...
AbstractWe consider a class of stochastic evolution models for particles diffusing on a lattice and ...
In this chapter the authors investigate the links among different scales, from a probabilistic point...
Abstract. We study the asymptotic behaviour of some mesoscopic sto-chastic models for systems of rea...
Recent works have derived and proven the large-population mean-field limit for several classes of pa...
We introduce two different reaction diffusion models: evolution of one-cell popula- tions in the pre...
of large numbers for mesoscopic stochastic models of reacting and diffusing particle
This thesis aims at providing an understanding of certain scaling limits for kinetic models perturbe...
International audienceIn this paper we consider an interacting particle system in R^d modelled as a ...
AbstractA locally interacting particle system is studied which can be interpreted as a stochastic mo...
The study of large interacting particle systems has broad applications in many scientific fields suc...
Reaction-diffusion PDEs and particle-based stochastic reaction-diffusion (PBSRD) models are commonly...
AbstractThe paper presents a law of large numbers for the asymptotic macroscopic nonequilibrium dyna...
A model for the activities of N agents in an economy is presented as the solution to a system of sto...
This dissertation in mathematics is devoted to systems consisting of a countably infinite collection...
We study a continuous-time discrete population structured by a vector of ages. Individuals reproduc...
AbstractWe consider a class of stochastic evolution models for particles diffusing on a lattice and ...
In this chapter the authors investigate the links among different scales, from a probabilistic point...
Abstract. We study the asymptotic behaviour of some mesoscopic sto-chastic models for systems of rea...
Recent works have derived and proven the large-population mean-field limit for several classes of pa...
We introduce two different reaction diffusion models: evolution of one-cell popula- tions in the pre...
of large numbers for mesoscopic stochastic models of reacting and diffusing particle
This thesis aims at providing an understanding of certain scaling limits for kinetic models perturbe...
International audienceIn this paper we consider an interacting particle system in R^d modelled as a ...
AbstractA locally interacting particle system is studied which can be interpreted as a stochastic mo...
The study of large interacting particle systems has broad applications in many scientific fields suc...
Reaction-diffusion PDEs and particle-based stochastic reaction-diffusion (PBSRD) models are commonly...
AbstractThe paper presents a law of large numbers for the asymptotic macroscopic nonequilibrium dyna...
A model for the activities of N agents in an economy is presented as the solution to a system of sto...
This dissertation in mathematics is devoted to systems consisting of a countably infinite collection...
We study a continuous-time discrete population structured by a vector of ages. Individuals reproduc...
AbstractWe consider a class of stochastic evolution models for particles diffusing on a lattice and ...
In this chapter the authors investigate the links among different scales, from a probabilistic point...