English

Exponentially Slow Mixing of the Low Temperature SK Model

Probability 2025-12-10 v2 Disordered Systems and Neural Networks Mathematical Physics math.MP

Abstract

We give a short proof that low-temperature dynamics for the Sherrington-Kirkpatrick model have mixing time exponential in the system size, based on the recently proved existence of gapped spin configurations by (Minzer-Sah-Sawhney 2023, Dandi-Gamarnik-Zdeborov\'a 2023). This result is in contrast with a well established physics prediction which posits a stretched exponential mixing time of order eN1/3±o(1)e^{N^{1/3 \pm o(1)}}. Our proof clarifies that this prediction cannot apply to mixing from worst case initial conditions, but should presumably be understood to concern dynamics from a suitably random initialization.

Keywords

Cite

@article{arxiv.2511.22621,
  title  = {Exponentially Slow Mixing of the Low Temperature SK Model},
  author = {Mark Sellke},
  journal= {arXiv preprint arXiv:2511.22621},
  year   = {2025}
}

Comments

4 pages