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Thermodynamical Limit for Correlated Gaussian Random Energy Models

Mathematical Physics 2009-11-07 v2 Disordered Systems and Neural Networks math.MP

Abstract

Let {E\s(N)}\sΣN\{E_{\s}(N)\}_{\s\in\Sigma_N} be a family of ΣN=2N|\Sigma_N|=2^N centered unit Gaussian random variables defined by the covariance matrix CNC_N of elements cN(\s,τ):=\avE\s(N)Eτ(N)\displaystyle c_N(\s,\tau):=\av{E_{\s}(N)E_{\tau}(N)}, and HN(\s)=NE\s(N)H_N(\s) = - \sqrt{N} E_{\s}(N) the corresponding random Hamiltonian. Then the quenched thermodynamical limit exists if, for every decomposition N=N1+N2N=N_1+N_2, and all pairs (\s,\t)ΣN×ΣN(\s,\t)\in \Sigma_N\times \Sigma_N: cN(\s,τ)N1NcN1(π1(\s),π1(τ))+N2NcN2(π2(\s),π2(τ)) c_N(\s,\tau)\leq \frac{N_1}{N} c_{N_1}(\pi_1(\s),\pi_1(\tau))+ \frac{N_2}{N} c_{N_2}(\pi_2(\s),\pi_2(\tau)) where πk(\s),k=1,2\pi_k(\s), k=1,2 are the projections of \sΣN\s\in\Sigma_N into ΣNk\Sigma_{N_k}. The condition is explicitly verified for the Sherrington-Kirckpatrick, the even pp-spin, the Derrida REM and the Derrida-Gardner GREM models.

Keywords

Cite

@article{arxiv.math-ph/0206007,
  title  = {Thermodynamical Limit for Correlated Gaussian Random Energy Models},
  author = {P. Contucci and M. Degli Esposti and C. Giardina and S. Graffi},
  journal= {arXiv preprint arXiv:math-ph/0206007},
  year   = {2009}
}

Comments

15 pages, few remarks and two references added. To appear in Commun. Math. Phys

R2 v1 2026-07-22T16:21:36.243Z