English

Test of Universality in the Ising Spin Glass Using High Temperature Graph Expansion

Disordered Systems and Neural Networks 2009-11-10 v1 Statistical Mechanics

Abstract

We calculate high-temperature graph expansions for the Ising spin glass model with 4 symmetric random distribution functions for its nearest neighbor interaction constants J_{ij}. Series for the Edwards-Anderson susceptibility \chi_EA are obtained to order 13 in the expansion variable (J/(k_B T))^2 for the general d-dimensional hyper-cubic lattice, where the parameter J determines the width of the distributions. We explain in detail how the expansions are calculated. The analysis, using the Dlog-Pad\'e approximation and the techniques known as M1 and M2, leads to estimates for the critical threshold (J/(k_B T_c))^2 and for the critical exponent \gamma in dimensions 4, 5, 7 and 8 for all the distribution functions. In each dimension the values for \gamma agree, within their uncertainty margins, with a common value for the different distributions, thus confirming universality.

Keywords

Cite

@article{arxiv.cond-mat/0408167,
  title  = {Test of Universality in the Ising Spin Glass Using High Temperature Graph Expansion},
  author = {Daniel Daboul and Iksoo Chang and Amnon Aharony},
  journal= {arXiv preprint arXiv:cond-mat/0408167},
  year   = {2009}
}

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