2008
DOI: 10.1103/physrevlett.100.117205
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Free-Energy Fluctuations and Chaos in the Sherrington-Kirkpatrick Model

Abstract: The sample-to-sample fluctuations ∆FN of the free energy in the Sherrington-Kirkpatrick model are shown rigorously to be related to bond chaos. Via this connection, the fluctuations become analytically accessible by replica methods. The replica calculation for bond chaos shows that the exponent µ governing the growth of the fluctuations with system size N , ∆FN ∼ N µ , is bounded by µ ≤ 1 4 .The sample-to-sample fluctuations of the free energy in the mean-field Ising spin glass [1] are a long standing unsolved… Show more

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Cited by 33 publications
(45 citation statements)
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“…Furthermore, high fluid intelligence was associated with the proximity to the boundary between the paramagnetic and SG phases. In theory, the SG phase yields chaotic dynamics in spin systems including the SK model [30][31][32] , whereas the ferromagnetic phase is obviously non-chaotic. Therefore, although the definition of the chaos in the SG phase is different from that observed in cellular automata 13 and recurrent neural networks 14,15 , our results are consistent with the idea of enhanced computational performance at the edge of chaos.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, high fluid intelligence was associated with the proximity to the boundary between the paramagnetic and SG phases. In theory, the SG phase yields chaotic dynamics in spin systems including the SK model [30][31][32] , whereas the ferromagnetic phase is obviously non-chaotic. Therefore, although the definition of the chaos in the SG phase is different from that observed in cellular automata 13 and recurrent neural networks 14,15 , our results are consistent with the idea of enhanced computational performance at the edge of chaos.…”
Section: Discussionmentioning
confidence: 99%
“…The method stands on two established findings. First, statistical mechanical theory of the Ising spin-system model posits that the so-called spin-glass phase corresponds to rugged energy landscapes (and therefore, complex transitory dynamics) 29 and chaotic dynamics [30][31][32] . Therefore, we are interested in how close the given data are to dynamics in the spin-glass phase.…”
Section: Introductionmentioning
confidence: 99%
“…6͒ and = 1 6 , 9,11,15-17 and the limit Յ 1 4 has been shown. 18,19 All these results show that the Sherrington-Kirkpatrick model does not fall in any of the four established universality classes of extreme value statistics. For a different famous replica symmetric spin-glass model, the spherical spin glass, 20 the situation is different.…”
Section: Introductionmentioning
confidence: 95%
“…has been much studied in various spin-glass models [21][22][23][24][25][26][27][28][29][30][31][32][33] in order to extract the chaos exponent ζ overlap δ that governs the size dependence of the decorrelation scale at small perturbation δ…”
Section: B Chaos As Instability Of the Spin Configurationsmentioning
confidence: 99%