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arXiv:1306.0423 · Physical Review B

Typical versus averaged overlap distribution in spin glasses: Evidence for droplet scaling theory

Cécile Monthus, Thomas Garel

Published Oct 22, 2013• 29 citations
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Abstract

We consider the statistical properties over disordered samples $(\mathcal{J})$ of the overlap distribution ${P}_{\mathcal{J}}(q)$ which plays the role of an order parameter in spin glasses. We show that near zero temperature (i) the typical overlap distribution is exponentially small in the central region of $\ensuremath{-}1<q<1$: ${P}^{\text{typ}}(q)={e}^{\overline{\mathrm{ln}{P}_{\mathcal{J}}(q)}}\ensuremath{\sim}{e}^{\ensuremath{-}\ensuremath{\beta}{N}^{\ensuremath{\theta}}\ensuremath{\phi}(q)}$, where $\ensuremath{\theta}$ is the droplet exponent defined here with respect to the total number $N$ of spins (in order to consider also fully connected models in which the notion of length does not exist); (ii) the rescaled variable $v=\ensuremath{-}[\mathrm{ln}{P}_{\mathcal{J}}(q)]/{N}^{\ensuremath{\theta}}$ remains an $O(1)$ random positive variable describing sample-to-sample fluctuations; (iii) the averaged distribution $\overline{{P}_{\mathcal{J}}(q)}$ is nontypical and dominated by rare anomalous samples. Similar statements hold for the cumulative overlap distribution ${I}_{\mathcal{J}}({q}_{0})\ensuremath{\equiv}{\ensuremath{\int}}_{0}^{{q}_{0}}dq\phantom{\rule{0.16em}{0ex}}{P}_{\mathcal{J}}(q)$. These results are derived explicitly for the spherical mean-field model with $\ensuremath{\theta}=1/3$, $\ensuremath{\phi}(q)=1\ensuremath{-}{q}^{2}$, and the random variable $v$ corresponds to the rescaled difference between the two largest eigenvalues of Gaussian orthogonal ensemble random matrices. Then we compare numerically the typical and averaged overlap distributions for the long-ranged one-dimensional Ising spin glass with random couplings decaying as $J(r)\ensuremath{\propto}{r}^{\ensuremath{-}\ensuremath{\sigma}}$ for various values of the exponent $\ensuremath{\sigma}$, corresponding to various droplet exponents $\ensuremath{\theta}(\ensuremath{\sigma})$, and for the mean-field Sherrington-Kirkpatrick model (corresponding formally to the $\ensuremath{\sigma}=0$ limit of the previous model). Our conclusion is that future studies on spin glasses should measure the typical values of the overlap distribution ${P}^{\text{typ}}(q)$ or of the cumulative overlap distribution ${I}^{\text{typ}}({q}_{0})={e}^{\overline{\mathrm{ln}{I}_{\mathcal{J}}({q}_{0})}}$ to obtain clearer conclusions on the nature of the spin-glass phase.

DOI
10.1103/physrevb.88.134204

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We consider the statistical properties over disordered samples (J)(\mathcal{J})(J) of the overlap distribution PJ(q){P}_{\mathcal{J}}(q)PJ​(q) which plays the role of an order parameter in spin glasses. We show that near zero temperature (i) the typical overlap distribution is exponentially small in the central region of \ensuremath−1<q<1\ensuremath{-}1<q<1\ensuremath−1<q<1: Ptyp(q)=elnPJ(q)‾\ensuremath∼e\ensuremath−\ensuremathβN\ensuremathθ\ensuremathϕ(q){P}^{\text{typ}}(q)={e}^{\overline{\mathrm{ln}{P}_{\mathcal{J}}(q)}}\ensuremath{\sim}{e}^{\ensuremath{-}\ensuremath{\beta}{N}^{\ensuremath{\theta}}\ensuremath{\phi}(q)}Ptyp(q)=elnPJ​(q)​\ensuremath∼e\ensuremath−\ensuremathβN\ensuremathθ\ensuremathϕ(q), where \ensuremathθ\ensuremath{\theta}\ensuremathθ is the droplet exponent defined here with respect to the total number NNN of spins (in order to consider also fully connected models in which the notion of length does not exist); (ii) the rescaled variable v=\ensuremath−[lnPJ(q)]/N\ensuremathθv=\ensuremath{-}[\mathrm{ln}{P}_{\mathcal{J}}(q)]/{N}^{\ensuremath{\theta}}v=\ensuremath−[lnPJ​(q)]/N\ensuremathθ remains an O(1)O(1)O(1) random positive variable describing sample-to-sample fluctuations; (iii) the averaged distribution PJ(q)‾\overline{{P}_{\mathcal{J}}(q)}PJ​(q)​ is nontypical and dominated by rare anomalous samples. Similar statements hold for the cumulative overlap distribution IJ(q0)\ensuremath≡\ensuremath∫0q0dqPJ(q){I}_{\mathcal{J}}({q}_{0})\ensuremath{\equiv}{\ensuremath{\int}}_{0}^{{q}_{0}}dq\phantom{\rule{0.16em}{0ex}}{P}_{\mathcal{J}}(q)IJ​(q0​)\ensuremath≡\ensuremath∫0q0​​dqPJ​(q). These results are derived explicitly for the spherical mean-field model with \ensuremathθ=1/3\ensuremath{\theta}=1/3\ensuremathθ=1/3, \ensuremathϕ(q)=1\ensuremath−q2\ensuremath{\phi}(q)=1\ensuremath{-}{q}^{2}\ensuremathϕ(q)=1\ensuremath−q2, and the random variable vvv corresponds to the rescaled difference between the two largest eigenvalues of Gaussian orthogonal ensemble random matrices. Then we compare numerically the typical and averaged overlap distributions for the long-ranged one-dimensional Ising spin glass with random couplings decaying as J(r)\ensuremath∝r\ensuremath−\ensuremathσJ(r)\ensuremath{\propto}{r}^{\ensuremath{-}\ensuremath{\sigma}}J(r)\ensuremath∝r\ensuremath−\ensuremathσ for various values of the exponent \ensuremathσ\ensuremath{\sigma}\ensuremathσ, corresponding to various droplet exponents \ensuremathθ(\ensuremathσ)\ensuremath{\theta}(\ensuremath{\sigma})\ensuremathθ(\ensuremathσ), and for the mean-field Sherrington-Kirkpatrick model (corresponding formally to the \ensuremathσ=0\ensuremath{\sigma}=0\ensuremathσ=0 limit of the previous model). Our conclusion is that future studies on spin glasses should measure the typical values of the overlap distribution Ptyp(q){P}^{\text{typ}}(q)Ptyp(q) or of the cumulative overlap distribution Ityp(q0)=elnIJ(q0)‾{I}^{\text{typ}}({q}_{0})={e}^{\overline{\mathrm{ln}{I}_{\mathcal{J}}({q}_{0})}}Ityp(q0​)=elnIJ​(q0​)​ to obtain clearer conclusions on the nature of the spin-glass phase.
Using Monte Carlo simulations, we study in detail the overlap distribution for individual samples for several spin-glass models including the infinite-range Sherrington-Kirkpatrick model, short-range Edwards-Anderson models in three and four space dimensions, and one-dimensional long-range models with diluted power-law interactions. We study three long-range models with different powers as follows: The first is approximately equivalent to a short-range model in three dimensions, the second to a short-range model in four dimensions, and the third to a short-range model in the mean-field regime. We study an observable proposed earlier by some of us which aims to distinguish the ``replica symmetry breaking'' picture of the spin-glass phase from the ``droplet picture,'' finding that larger system sizes would be needed to unambiguously determine which of these pictures describes the low-temperature state of spin glasses best, except for the Sherrington-Kirkpatrick model, which is unambiguously described by replica symmetry breaking. Finally, we also study the median integrated overlap probability distribution and a typical overlap distribution, finding that these observables are not particularly helpful in distinguishing the replica symmetry breaking and the droplet pictures.
We study order-parameter fluctuations (OPF) in disordered systems by considering the behaviour of some recently introduced parameters G , G c which have proven very useful in locating phase transitions. We prove that both parameters G (for disconnected overlap disorder averages) and G c (for connected disorder averages) take the respective universal values (1/3) and (13/31) in the T →0 limit for any finite volume provided the ground state is unique and there is no gap in the ground-state local-field distributions, conditions which are met in generic spin-glass models with continuous couplings and no gap at zero coupling. This makes G , G c ideal parameters to locate phase transitions in disordered systems much like the Binder cumulant for ordered systems. We check our results by exactly computing OPF in a simple example of uncoupled spins in the presence of random fields and the one-dimensional Ising spin glass. At finite temperatures, we discuss under which conditions the value (1/3) for G may be recovered by conjecturing different scenarios depending on whether OPF are finite or vanish in the infinite-volume limit. In particular, we discuss replica equivalence and its natural consequence lim V → ∞ G ( V , T ) = (1/3) when OPF are finite. As an example of a model where OPF vanish and replica equivalence does not give information about G we study the Sherrington-Kirkpatrick spherical spin-glass model by performing numerical simulations for small sizes. Again we find results compatible with G = (1/3) in the spin-glass phase.
Abstract. We study order-parameter fluctuations (OPF) in disordered systems by considering the behaviour of some recently introduced parameters G, Gc which have proven very useful in locating phase transitions. We prove that both parameters G (for disconnected overlap disorder averages) and Gc (for connected disorder averages) take the respective universal values 1 13 3 and 31 in the T → 0 limit for any finite volume provided the ground state is unique and there is no gap in the ground-state local-field distributions, conditions which are met in generic spin-glass models with continuous couplings and no gap at zero coupling. This makes G, Gc ideal parameters to locate phase transitions in disordered systems much like the Binder cumulant for ordered systems. We check our results by exactly computing OPF in a simple example of uncoupled spins in the presence of random fields and the one-dimensional Ising spin glass. At finite temperatures, we discuss under which conditions the value 1 3 for G may be recovered by conjecturing different scenarios depending on whether OPF are finite or vanish in the infinite-volume limit. In particular, we discuss replica equivalence and its natural consequence limV → ∞ G(V, T) = 1 3 when OPF are finite. As an example of a model where OPF vanish and replica equivalence does not give information about G we study the Sherrington–Kirkpatrick spherical spin-glass model by performing numerical simulations for small sizes. Again we find results compatible with G = 1 3 in the spin-glass phase. 1.
We have simulated Edwards-Anderson (EA) as well as Sherrington-Kirkpatrick systems of L3{L}^{3}L3 spins. After averaging over large sets of EA system samples of $3\ensuremath{\le}L\ensuremath{\le}10$, we obtain accurate numbers for distributions p(q)p(q)p(q) of the overlap parameter qqq at very low-temperature TTT. We find $p(0)/T\ensuremath{\rightarrow}0.233(4)$ as $T\ensuremath{\rightarrow}0$. This is in contrast with the droplet scenario of spin glasses. We also study the number of mismatched links---between replica pairs---that come with large scale excitations. Contributions from small scale excitations are discarded. We thus obtain for the fractal dimension of outer surfaces of $q\ensuremath{\sim}0$ excitations in the EA model ${d}_{s}\ensuremath{\rightarrow}2.59(3)$ as $T\ensuremath{\rightarrow}0$. This is in contrast with ${d}_{s}\ensuremath{\rightarrow}3$ as $T\ensuremath{\rightarrow}0$ that is predicted by mean-field theory for the macroscopic limit.
For the Ising model with Gaussian random coupling of average J0{J}_{0}J0​ and unit variance, the zero-temperature spin-glass--ferromagnetic transition as a function of the control parameter J0{J}_{0}J0​ can be studied via the size-LLL-dependent renormalized coupling defined as the domain-wall energy ${J}^{R}(L)\ensuremath{\equiv}{E}_{\text{GS}}^{(\text{AF})}(L)\ensuremath{-}{E}_{\text{GS}}^{(\text{F})}(L)$ (i.e., the difference between the ground-state energies corresponding to antiferromagnetic and ferromagnetic boundary conditions in one direction). We study numerically the critical exponents of this zero-temperature transition within the Migdal-Kadanoff approximation as a function of the dimension d=2,3,4,5,6d=2,3,4,5,6d=2,3,4,5,6. We then compare with the mean-field spherical model. Our main conclusion is that in low dimensions, the critical stiffness exponent ${\ensuremath{\theta}}^{c}$ is clearly bigger than the spin-glass stiffness exponent ${\ensuremath{\theta}}^{\text{SG}}$, but that they turn out to coincide in high enough dimension and in the mean-field spherical model. We also discuss the finite-size scaling properties of the averaged value and of the width of the distribution of the renormalized couplings.