Approximation method to metastability: An application to nonreversible, two-dimensional Ising and Potts models without external fields

The main contribution of the current study is two-fold. First, we investigate the energy landscape of the Ising and Potts models on finite two-dimensional lattices without external fields in the low-temperature regime. The complete analysis of the energy landscape of these models was unknown because of its complicated plateau saddle structure between the ground states. We characterize this structure completely in terms of a random walk on the set of subtrees of a ladder graph. Second, we provide a considerable simplification of the well-known potential-theoretic approach to metastability. In particular, by replacing the role of variational principles, such as the Dirichlet and Thomson principles, with an H1-approximation of the equilibrium potential, we develop a new method that can be applied to nonreversible dynamics as well in a simple manner. As an application of this method, we analyze metastable behavior of not only the reversible Metropolis–Hastings dynamics but also of several interesting nonreversible dynamics associated with the low-temperature Ising and Potts models explained above and derive the Eyring–Kramers law and the Markov chain model reduction of these models.

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Publication Details

Journal
The Annals of Probability
Published
2025-03-01
DOI
https://doi.org/10.1214/24-aop1717
Citations
1
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
1.26
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article

Approximation method to metastability: An application to nonreversible, two-dimensional Ising and Potts models without external fields

Seonwoo Kim, Insuk Seo
1 citations
The Annals of Probability
Theoretical and Computational Physics
1.26
article

Approximation method to metastability: An application to nonreversible, two-dimensional Ising and Potts models without external fields

Seonwoo Kim, Insuk Seo
article en
1 citations

Abstract

The main contribution of the current study is two-fold. First, we investigate the energy landscape of the Ising and Potts models on finite two-dimensional lattices without external fields in the low-temperature regime. The complete analysis of the energy landscape of these models was unknown because of its complicated plateau saddle structure between the ground states. We characterize this structure completely in terms of a random walk on the set of subtrees of a ladder graph. Second, we provide a considerable simplification of the well-known potential-theoretic approach to metastability. In particular, by replacing the role of variational principles, such as the Dirichlet and Thomson principles, with an H1-approximation of the equilibrium potential, we develop a new method that can be applied to nonreversible dynamics as well in a simple manner. As an application of this method, we analyze metastable behavior of not only the reversible Metropolis–Hastings dynamics but also of several interesting nonreversible dynamics associated with the low-temperature Ising and Potts models explained above and derive the Eyring–Kramers law and the Markov chain model reduction of these models.

The Annals of ProbabilityVol. 53(2)
Korea Institute for Advanced Study (KR), Seoul National University (KR), Mathematical Sciences Research Institute (US)
Openalex Percentile: Top 23%
Theoretical and Computational Physics
1.26
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