Quantitative propagation of chaos for generalized Kac particle systems
arXiv:1406.2115 · doi:10.1214/15-AAP1107
Abstract
We study a class of one-dimensional particle systems with true (Bird type) binary interactions, which includes Kac's model of the Boltzmann equation and nonlinear equations for the evolution of wealth distribution arising in kinetic economic models. We obtain explicit rates of convergence for the Wasserstein distance between the law of the particles and their limiting law, which are linear in time and depend in a mild polynomial manner on the number of particles. The proof is based on a novel coupling between the particle system and a suitable system of nonindependent nonlinear processes, as well as on recent sharp estimates for empirical measures.
Published at http://dx.doi.org/10.1214/15-AAP1107 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Cited by in corpus (10)
- Propagation of chaos: a review of models, methods and applications. II. Applications
- Uniform propagation of chaos for the thermostated Kac model
- Propagation of chaos: a review of models, methods and applications. I. Models and methods
- A consistency estimate for Kac's model of elastic collisions in a dilute gas
- Uniform propagation of chaos for a dollar exchange econophysics model
- Uniform propagation of chaos for Kac's 1D particle system
- On a thermostated Kac model with rescaling
- Quantitative convergence guarantees for the mean-field dispersion process
- Chaos propagation in genetic algorithms: An optimal transport approach
- Solutions of kinetic-type equations with perturbed collisions