Finite size corrections in the Sherrington-Kirkpatrick model
T. Aspelmeier, A. Billoire, E. Marinari, M.A. Moore

TL;DR
This paper investigates finite-size effects in the Sherrington-Kirkpatrick model, proposing a finite replica-symmetry breaking scheme that accurately predicts corrections to thermodynamic quantities and fluctuations based on system size.
Contribution
It introduces a finite-size correction method for the SK model using a truncated Parisi scheme with K(N) ~ N^{1/6}, validated by Monte Carlo simulations.
Findings
Finite size corrections scale with N^{1/6}.
Predictions match Monte Carlo results for order parameter and energy.
Sample-to-sample fluctuations also follow the N^{1/6} scaling.
Abstract
We argue that when the number of spins in the SK model is finite, the Parisi scheme can be terminated after replica-symmetry breaking steps, where . We have checked this idea by Monte Carlo simulations: we expect the typical number of peaks and features in the (non-bond averaged) Parisi overlap function to be of order , and our counting (for samples of size up to 4096 spins) gives results which are consistent with our arguments. We can estimate the leading finite size correction for any thermodynamic quantity by finding its dependence in the Parisi scheme and then replacing by K(N). Our predictions of how the Edwards-Anderson order parameter and the internal energy of the system approach their thermodynamic limit compare well with the results of our Monte Carlo simulations. The -dependence of the sample-to-sample…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
