PreprintCC BY 4.0arXiv
Limiting Law of Local Fields for the Mean Field Ghatak-Sherrington Model
Abstract
We study the limiting law of local field in the mean field Ghatak-Sherrington model with spin values {0,±1,…,± S} in the high-temperature regime. Using the cavity method and the quantitative overlap and self-overlap estimates of Sheng-Wu~\cite{SW24}, we prove a central limit theorem for the non-centered cavity field. As a result, we then identify the local field limiting law as a random finite mixture of Gaussian distributions. The proof is based on moment method and gives a quantitative error bound.
Related
- Parisi measure of the Sherrington-Kirkpatrick model with external field
- On L -embeddings and double covers of tori over local fields
- Zeta functions of quasi-split reductive algebraic groups over local fields
- Lifting mod p Galois representations over local fields
- A LOCAL PROOF OF LANGLANDS'S SECOND MAIN LEMMA FOR LOCAL EPSILON FACTORS OVER NONARCHIMEDEAN LOCAL FIELDS
BibTeX
@misc{chen2026limiting,
title = {{Limiting Law of Local Fields for the Mean Field Ghatak-Sherrington Model}},
author = {Yunhui Chen and Keaton Fierro},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2608.10515},
eprint = {2608.10515},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.10515},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Limiting Law of Local Fields for the Mean Field Ghatak-Sherrington Model
AU - Yunhui Chen
AU - Keaton Fierro
PY - 2026
DA - 2026/09/08
PB - arXiv
DO - 10.48550/arxiv.2608.10515
UR - https://arxiv.org/abs/2608.10515
AB - We study the limiting law of local field in the mean field Ghatak-Sherrington model with spin values {0,±1,…,± S} in the high-temperature regime. Using the cavity method and the quantitative overlap and self-overlap estimates of Sheng-Wu~\cite{SW24}, we prove a central limit theorem for the non-centered cavity field. As a result, we then identify the local field limiting law as a random finite mixture of Gaussian distributions. The proof is based on moment method and gives a quantitative error bound.
ER -