English

Statistical mechanics of the spherical hierarchical model with random fields

Disordered Systems and Neural Networks 2014-11-18 v1 Statistical Mechanics

Abstract

We study analytically the equilibrium properties of the spherical hierarchical model in the presence of random fields. The expression for the critical line separating a paramagnetic from a ferromagnetic phase is derived. The critical exponents characterising this phase transition are computed analytically and compared with those of the corresponding DD-dimensional short-range model, leading to conclude that the usual mapping between one dimensional long-range models and DD-dimensional short-range models holds exactly for this system, in contrast to models with Ising spins. Moreover, the critical exponents of the pure model and those of the random field model satisfy a relationship that mimics the dimensional reduction rule. The absence of a spin-glass phase is strongly supported by the local stability analysis of the replica symmetric saddle-point as well as by an independent computation of the free-energy using a renormalization-like approach. This latter result enlarges the class of random field models for which the spin-glass phase has been recently ruled out.

Keywords

Cite

@article{arxiv.1406.1539,
  title  = {Statistical mechanics of the spherical hierarchical model with random fields},
  author = {Fernando L. Metz and Jacopo Rocchi and Pierfrancesco Urbani},
  journal= {arXiv preprint arXiv:1406.1539},
  year   = {2014}
}

Comments

23 pages, 2 figures

R2 v1 2026-06-22T04:32:11.155Z