English

Non-coupling from the past

Probability 2025-10-17 v3

Abstract

The method of 'coupling from the past' permits exact sampling from the invariant distribution of a Markov chain on a finite state space. The coupling is successful whenever the stochastic dynamics are such that there is coalescence of all trajectories. The issue of the coalescence or non-coalescence of trajectories of a finite state space Markov chain is investigated in this note. The notion of the 'coalescence number' k(μ)k(\mu) of a Markovian coupling μ\mu is introduced, and results are presented concerning the set K(P)K(P) of coalescence numbers of couplings corresponding to a given transition matrix PP. Note: This is a revision of the original published version, in which part of Theorem 6 has been removed. A correction may be found in Thm 5.3 of arXiv:2510.13572.

Keywords

Cite

@article{arxiv.1907.05605,
  title  = {Non-coupling from the past},
  author = {Geoffrey R. Grimmett and Mark Holmes},
  journal= {arXiv preprint arXiv:1907.05605},
  year   = {2025}
}

Comments

Part of Theorem 6 of v2 has been removed in this revision. A correction and amplification may be found in arXiv:2510.13572

R2 v1 2026-06-23T10:19:19.287Z