Fleming-Viot processes : two explicit examples
Bertrand Cloez, Marie-No\'emie Thai

TL;DR
This paper explores two explicit examples of Fleming-Viot processes, providing detailed formulas and analysis for a complete graph random walk and a two-state Markov chain, advancing understanding of these stochastic systems.
Contribution
It extends previous work by deriving explicit formulas and spectral properties for Fleming-Viot processes in specific discrete settings, including complete graphs and two-state chains.
Findings
Explicit formulas for invariant distribution and correlations on complete graphs
Spectral gap estimates for the Fleming-Viot process on complete graphs
Reduction of the two-state case to birth-death process analysis
Abstract
The purpose of this paper is to extend the investigation of the Fleming-Viot process in discrete space started in a previous work to two specific examples. The first one corresponds to a random walk on the complete graph. Due to its geometry, we establish several explicit and optimal formulas for the Fleming-Viot process (invariant distribution, correlations, spectral gap). The second example corresponds to a Markov chain in a two state space. In this case, the study of the Fleming-Viot particle system is reduced to the study of birth and death process with quadratic rates.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Diffusion and Search Dynamics
