We investigate the derivation of semilinear relaxation systems and scalar conservation laws from a class of stochastic interacting particle systems. These systems are Markov jump processes set on a lattice, they satisfy detailed mass balance (but not detailed balance of momentum), and are equipped with multiple scalings. Using a combination of correlation function methods with compactness and convergence properties of semidiscrete relaxation schemes we prove that, at a mesoscopic scale, the interacting particle system gives rise to a semilinear hyperbolic system of relaxation type, while at a macroscopic scale it yields a scalar conservation law. Rates of convergence are obtained in both scalings
AbstractWe consider a class of stochastic evolution models for particles diffusing on a lattice and ...
In tis talk I will present a derivation of macroscopic model of interacting particles. The populatio...
This thesis concerns interacting particle systems in a randomly evolving environment. In the first p...
We investigate the derivation of semilinear relaxation systems and scalar conservation laws from a c...
Nous considérons une classe de svstèmes hvperboliques semilinéaires avec relaxation, qui sont contra...
International audienceIn this paper we consider an interacting particle system in R^d modelled as a ...
A particle method is presented for solving the scalar conservation laws. The stability of the method...
AbstractWe present a new relaxation approximation to scalar conservation laws in several space varia...
Berns C, Kondratiev Y, Kutoviy O. Markov Jump Dynamics with Additive Intensities in Continuum: State...
The first part of this dissertation combines continuum limits of nonlocally interacting particles wi...
In this chapter the authors investigate the links among different scales, from a probabilistic point...
We consider a class of stochastic evolution models for particles diffusing on a lattice and interact...
Using the renormalization method introduced by the authors, we prove what we call the local Boltzman...
We describe the behaviour of a particle system with long-range interactions, in which the range of i...
The focus of this dissertation is a class of random processes known as interacting measure-valued st...
AbstractWe consider a class of stochastic evolution models for particles diffusing on a lattice and ...
In tis talk I will present a derivation of macroscopic model of interacting particles. The populatio...
This thesis concerns interacting particle systems in a randomly evolving environment. In the first p...
We investigate the derivation of semilinear relaxation systems and scalar conservation laws from a c...
Nous considérons une classe de svstèmes hvperboliques semilinéaires avec relaxation, qui sont contra...
International audienceIn this paper we consider an interacting particle system in R^d modelled as a ...
A particle method is presented for solving the scalar conservation laws. The stability of the method...
AbstractWe present a new relaxation approximation to scalar conservation laws in several space varia...
Berns C, Kondratiev Y, Kutoviy O. Markov Jump Dynamics with Additive Intensities in Continuum: State...
The first part of this dissertation combines continuum limits of nonlocally interacting particles wi...
In this chapter the authors investigate the links among different scales, from a probabilistic point...
We consider a class of stochastic evolution models for particles diffusing on a lattice and interact...
Using the renormalization method introduced by the authors, we prove what we call the local Boltzman...
We describe the behaviour of a particle system with long-range interactions, in which the range of i...
The focus of this dissertation is a class of random processes known as interacting measure-valued st...
AbstractWe consider a class of stochastic evolution models for particles diffusing on a lattice and ...
In tis talk I will present a derivation of macroscopic model of interacting particles. The populatio...
This thesis concerns interacting particle systems in a randomly evolving environment. In the first p...