Size-biased diffusion limits and the inclusion process

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Chleboun, Paul, Gabriel, Simon, Grosskinsky, Stefan
Format: Preprint
Published: 2023
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910475807096832
author Chleboun, Paul
Gabriel, Simon
Grosskinsky, Stefan
author_facet Chleboun, Paul
Gabriel, Simon
Grosskinsky, Stefan
contents We consider the inclusion process on the complete graph with vanishing diffusivity, which leads to condensation of particles in the thermodynamic limit. Describing particle configurations in terms of size-biased and appropriately scaled empirical measures of mass distribution, we establish convergence in law of the inclusion process to a measure-valued Markov process on the space of probability measures. In the case where the diffusivity vanishes like the inverse of the system size, the derived scaling limit is equivalent to the well known Poisson-Dirichlet diffusion, offering an alternative viewpoint on these well-established dynamics. Moreover, our approach covers all scaling regimes of the system parameters and yields a natural extension of the Poisson-Dirichlet diffusion to infinite mutation rate. We also discuss in detail connections to known results on related Fleming-Viot processes.
format Preprint
id arxiv_https___arxiv_org_abs_2304_09722
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Size-biased diffusion limits and the inclusion process
Chleboun, Paul
Gabriel, Simon
Grosskinsky, Stefan
Probability
Statistical Mechanics
Mathematical Physics
60K35, 82C22, 82C26
We consider the inclusion process on the complete graph with vanishing diffusivity, which leads to condensation of particles in the thermodynamic limit. Describing particle configurations in terms of size-biased and appropriately scaled empirical measures of mass distribution, we establish convergence in law of the inclusion process to a measure-valued Markov process on the space of probability measures. In the case where the diffusivity vanishes like the inverse of the system size, the derived scaling limit is equivalent to the well known Poisson-Dirichlet diffusion, offering an alternative viewpoint on these well-established dynamics. Moreover, our approach covers all scaling regimes of the system parameters and yields a natural extension of the Poisson-Dirichlet diffusion to infinite mutation rate. We also discuss in detail connections to known results on related Fleming-Viot processes.
title Size-biased diffusion limits and the inclusion process
topic Probability
Statistical Mechanics
Mathematical Physics
60K35, 82C22, 82C26
url https://arxiv.org/abs/2304.09722