English

Non-self-averaging in Ising spin glasses; hyperuniversality

Disordered Systems and Neural Networks 2016-01-20 v1

Abstract

Ising spin glasses with bimodal and Gaussian near-neighbor interaction distributions are studied through numerical simulations. The non-self-averaging (normalized inter-sample variance) parameter U22(T,L)U_{22}(T,L) for the spin glass susceptibility (and for higher moments Unn(T,L)U_{nn}(T,L)) is reported for dimensions 2, 3, 4, 5 and 7. In each dimension dd the non-self-averaging parameters in the paramagnetic regime vary with the sample size L and the correlation length ξ(T,L)\xi(T,L) as Unn(β,L)=[Kdξ(T,L)/L]dU_{nn}(\beta,L) = [K_{d}\xi(T,L)/L]^d, and so follow a renormalization group law due to Aharony and Harris (1991). Empirically, it is found that the KdK_{d} values are independent of d to within the statistics. The maximum values [Unn(T,L)]max[U_{nn}(T,L)]_{\max} are almost independent of L in each dimension, and remarkably the estimated thermodynamic limit critical [Unn(T,L)]max[U_{nn}(T,L)]_{\max} peak values are also dimension-independent to within the statistics and so are "hyperuniversal". These results show that the form of the spin-spin correlation function distribution at criticality in the large LL limit is independent of dimension within the ISG family. Inspection of published non-self-averaging data for 3D Heisenberg and XY spin glasses the light of the Ising spin glass non-self-averaging results show behavior incompatible with a spin-driven ordering scenario, but compatible with that expected on a chiral-driven ordering interpretation.

Keywords

Cite

@article{arxiv.1508.03368,
  title  = {Non-self-averaging in Ising spin glasses; hyperuniversality},
  author = {P. H. Lundow and I. A. Campbell},
  journal= {arXiv preprint arXiv:1508.03368},
  year   = {2016}
}

Comments

10 pages, 22 figures

R2 v1 2026-06-22T10:33:24.210Z