Manuscript OpenAI@2026-10-07 · OpenAI.tex · remark · 6a931f8f
Remark: Family 217. The low-temperature Sherrington–Kirkpatrick fluctuation law
Family claims › Probability and statistical mechanics · lines 1467–1472
OpenAI@2026-10-07#rem:oai-217
For every fixed inverse temperature , determines the fluctuation scale and limiting law of the zero-field Gaussian Sherrington–Kirkpatrick log partition function. Its variance is asymptotic to , with , confirming the predicted standard-deviation scale. Exact centering and standardization give full-sequence convergence to a uniquely characterized nondegenerate law.
The authors are OpenAI. This companion does not verify the proof. The claim is not a theorem of the Enter series and not a premise of any registered sheet. It does not close O.1. O.1 stays NOT_CLOSED. It is not a de Sitter state and not the QdS external-leg scheme. No quantum coefficient is admitted. No compilation is asserted.
Nearby in this section
- remark: Remark: Family 211. Geometry, diffusion, and spectra of random planar maps
- remark: Remark: Family 212. No bigeodesics and smooth limit shapes in planar first-passage percolation
- remark: Remark: Family 213. No infinite critical clusters on quasi-transitive graphs
- remark: Remark: Family 214. The Benjamini–Schramm nonuniqueness conjecture
- remark: Remark: Family 215. Massive continuum limits and exact mass asymptotics for planar O(n) models
- remark: Remark: Family 216. Critical logarithmic corrections and BKT scaling for the planar XY model
- remark: Remark: Family 218. Conformal universality for weakly interacting and disordered Ising models
- remark: Remark: Family 219. GOE universality for random regular graphs with weak disorder