Dr Tyler Helmuth tyler.helmuth@durham.ac.uk
Associate Professor
Correlation decay for hard spheres via Markov chains
Helmuth, Tyler; Perkins, Will; Petti, Tyler
Authors
Will Perkins
Tyler Petti
Abstract
We improve upon all known lower bounds on the critical fugacity and critical density of the hard sphere model in dimensions three and higher. As the dimension tends to infinity, our improvements are by factors of 2 and 1.7, respectively. We make these improvements by utilizing techniques from theoretical computer science to show that a certain Markov chain for sampling from the hard sphere model mixes rapidly at low enough fugacities. We then prove an equivalence between optimal spatial and temporal mixing for hard spheres to deduce our results.
Citation
Helmuth, T., Perkins, W., & Petti, T. (2022). Correlation decay for hard spheres via Markov chains. Annals of Applied Probability, 32(3), 2063-2082. https://doi.org/10.1214/21-aap1728
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 16, 2021 |
Online Publication Date | May 29, 2022 |
Publication Date | 2022-06 |
Deposit Date | Jul 21, 2021 |
Publicly Available Date | Jul 19, 2022 |
Journal | Annals of Applied Probability |
Print ISSN | 1050-5164 |
Publisher | Institute of Mathematical Statistics |
Peer Reviewed | Peer Reviewed |
Volume | 32 |
Issue | 3 |
Pages | 2063-2082 |
DOI | https://doi.org/10.1214/21-aap1728 |
Public URL | https://durham-repository.worktribe.com/output/1239235 |
Related Public URLs | https://arxiv.org/abs/2001.05323 |
Files
Published Journal Article
(247 Kb)
PDF
You might also like
Directed Spatial Permutations on Asymmetric Tori
(2024)
Journal Article
Percolation transition for random forests in d ⩾ 3
(2024)
Journal Article
Efficient Algorithms for Approximating Quantum Partition Functions at Low Temperature
(2023)
Journal Article
Approximation Algorithms for the Random Field Ising Model
(2023)
Journal Article