2003
DOI: 10.1007/s00220-002-0773-5
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Broken Replica Symmetry Bounds in the Mean Field Spin Glass Model

Abstract: By using a simple interpolation argument, in previous work we have proven the existence of the thermodynamic limit, for mean field disordered models, including the Sherrington-Kirkpatrick model, and the Derrida p-spin model. Here we extend this argument in order to compare the limiting free energy with the expression given by the Parisi Ansatz, and including full spontaneous replica symmetry breaking. Our main result is that the quenched average of the free energy is bounded from below by the value given in th… Show more

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Cited by 530 publications
(644 citation statements)
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“…The similar remark also holds for bulk disorder with long range correlation [6]. Unrelated disordered systems, including the Sherrington-Kirkpatrick model, have seen the emergence of smart interpolation techniques [38,18,19], allowing to compare the free energy with that of an auxiliary, simpler model.…”
Section: Introductionmentioning
confidence: 83%
“…The similar remark also holds for bulk disorder with long range correlation [6]. Unrelated disordered systems, including the Sherrington-Kirkpatrick model, have seen the emergence of smart interpolation techniques [38,18,19], allowing to compare the free energy with that of an auxiliary, simpler model.…”
Section: Introductionmentioning
confidence: 83%
“…Toninelli [1,2] gave a rigorous proof, at the mathematical level, of the convergence of free energy to a deterministic limit, in a Gaussian environment, 1 N log Z N (β, g) → α ∞ (β) a.s. and in average. Talagrand [4] then proved that one can replace the Gaussian environment by a Bernoulli environment η ij , P (η ij = ±1) = 1 2 , and obtain the same limit: α ∞ (β).…”
Section: Introductionmentioning
confidence: 99%
“…averaged over disorder) distribution for the local field at site 1, essentially using Gaussian integration by parts. To prove the result for the quenched distribution, it does not suffice to show (18), but rather, we have to show…”
Section: Quenched Distributions and The Approximation Lemmamentioning
confidence: 99%