Math 2.0

Statistical mechanics, structure of matter Disordered systems Example

Sherrington–Kirkpatrick model

Builds on Normal distributionIsing model

Example

Let N≥2N \ge 2 and let (gij)1≤i<j≤N(g_{ij})_{1 \le i < j \le N} be independent standard Gaussian random variables. The Sherrington–Kirkpatrick model is the random Hamiltonian HN(σ)=−1N∑1≤i<j≤Ngijσiσj,σ∈{−1,+1}N,H_N(\sigma) = -\frac{1}{\sqrt{N}} \sum_{1 \le i < j \le N} g_{ij} \sigma_i \sigma_j, \qquad \sigma \in \set{-1, +1}^N, with partition function ZN(β)=∑σe−βHN(σ)Z_N(\beta) = \sum_{\sigma} e^{-\beta H_N(\sigma)} for the inverse temperature β≥0\beta \ge 0.

Check: the couplings Jij=gij/NJ_{ij} = g_{ij} / \sqrt{N} are independent and symmetric, so each takes both signs with probability 1/21/2. So it is a spin glass in which every spin interacts with every other spin. For each fixed σ\sigma, HN(σ)H_N(\sigma) is a centred Gaussian variable of variance 1N(N2)=N−12\frac{1}{N} \binom{N}{2} = \frac{N-1}{2}, so the energy grows like NN, as it should.

Remarks

By Jensen's inequality, 𝔼log⁡ZN≤log⁡𝔼ZN=Nlog⁡2+β2(N−1)/4\mathbb{E} \log Z_N \le \log \mathbb{E} Z_N = N \log 2 + \beta^2 (N-1)/4. This annealed bound gives the correct free energy only at high temperature. The exact limit of 1N𝔼log⁡ZN\frac{1}{N} \mathbb{E} \log Z_N for all β\beta is the Parisi formula. The model is the mean-field version of the Edwards–Anderson model, in the same way as the Curie–Weiss model is the mean-field version of the Ising model.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Spin_glass
About this page
TagMMSZK6CYRX
URIm2://MMSZK6CYRX
Kindexample
WritingW0 stub
MSC82B44, 60K35, 82D30
Instance ofSpin glass
UsesNormal distribution, Ising model
Changed3 November 2026

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