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Main Authors: Chen, Yejia, Zhou, Jianwen, Liu, Ruifeng, Zhou, Hai-Jun
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2507.11445
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author Chen, Yejia
Zhou, Jianwen
Liu, Ruifeng
Zhou, Hai-Jun
author_facet Chen, Yejia
Zhou, Jianwen
Liu, Ruifeng
Zhou, Hai-Jun
contents The stability of long-range order against quenched disorder is a central problem in statistical mechanics. This paper develops a generalized framework extending the Ding-Zhuang method and integrated with the Pirogov-Sinai framework, establishing a systematic scheme for studying phase transitions of long-range order in disordered systems. We axiomatize the Ding-Zhuang approach into a theoretical framework consisting of the Peierls condition and a local symmetry condition. For systems in dimensions $d \geq 3$ satisfying these conditions, we prove the persistence of long-range order at low temperatures and under weak disorder, with multiple coexisting distinct Gibbs states. The framework's versatility is demonstrated for diverse models, providing a systematic extension of Peierls methods to disordered systems.
format Preprint
id arxiv_https___arxiv_org_abs_2507_11445
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The stability of long-range order in disordered systems: A generalized Ding-Zhuang argument
Chen, Yejia
Zhou, Jianwen
Liu, Ruifeng
Zhou, Hai-Jun
Mathematical Physics
Disordered Systems and Neural Networks
Statistical Mechanics
Probability
82B44, 60K35, 82B26, 82B20
The stability of long-range order against quenched disorder is a central problem in statistical mechanics. This paper develops a generalized framework extending the Ding-Zhuang method and integrated with the Pirogov-Sinai framework, establishing a systematic scheme for studying phase transitions of long-range order in disordered systems. We axiomatize the Ding-Zhuang approach into a theoretical framework consisting of the Peierls condition and a local symmetry condition. For systems in dimensions $d \geq 3$ satisfying these conditions, we prove the persistence of long-range order at low temperatures and under weak disorder, with multiple coexisting distinct Gibbs states. The framework's versatility is demonstrated for diverse models, providing a systematic extension of Peierls methods to disordered systems.
title The stability of long-range order in disordered systems: A generalized Ding-Zhuang argument
topic Mathematical Physics
Disordered Systems and Neural Networks
Statistical Mechanics
Probability
82B44, 60K35, 82B26, 82B20
url https://arxiv.org/abs/2507.11445