Alan Hammond
Directed Spatial Permutations on Asymmetric Tori
Hammond, Alan; Helmuth, Tyler
Abstract
We investigate a model of random spatial permutations on two-dimensional tori, and establish that the joint distribution of large cycles is asymptotically given by the Poisson--Dirichlet distribution with parameter one. The asymmetry of the tori we consider leads to a spatial bias in the permutations, and this allows for a simple argument to deduce the existence of mesoscopic cycles. The main challenge is to leverage this mesoscopic structure to establish the existence and distribution of macroscopic cycles. We achieve this by a dynamical resampling argument in conjunction with a method developed by Schramm for the study of random transpositions on the complete graph. Our dynamical analysis implements generic heuristics for the occurrence of the Poisson--Dirichlet distribution in random spatial permutations, and hence may be of more general interest.
Citation
Hammond, A., & Helmuth, T. (in press). Directed Spatial Permutations on Asymmetric Tori. Annals of Probability,
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 17, 2024 |
Deposit Date | Jun 18, 2024 |
Journal | Annals of Probability |
Print ISSN | 0091-1798 |
Publisher | Institute of Mathematical Statistics |
Peer Reviewed | Peer Reviewed |
Public URL | https://durham-repository.worktribe.com/output/2485577 |
Publisher URL | https://projecteuclid.org/journals/annals-of-probability |
Related Public URLs | https://arxiv.org/abs/2306.03064 |
This file is under embargo due to copyright reasons.
You might also like
Efficient sampling and counting algorithms for the Potts model on Zd at all temperatures
(2022)
Journal Article
The geometry of random walk isomorphism theorems
(2021)
Journal Article
Correlation decay for hard spheres via Markov chains
(2022)
Journal Article
Random spanning forests and hyperbolic symmetry
(2020)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search