English

The stability of long-range order in disordered systems: A generalized Ding-Zhuang argument

Mathematical Physics 2025-07-16 v1 Disordered Systems and Neural Networks Statistical Mechanics math.MP Probability

Abstract

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 d3d \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.

Keywords

Cite

@article{arxiv.2507.11445,
  title  = {The stability of long-range order in disordered systems: A generalized Ding-Zhuang argument},
  author = {Yejia Chen and Jianwen Zhou and Ruifeng Liu and Hai-Jun Zhou},
  journal= {arXiv preprint arXiv:2507.11445},
  year   = {2025}
}

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43 pages