Lack of self-averaging of the critical internal energy in a weakly-disordered Baxter model
Ramgopal Agrawal, Victor Dotsenko, Maxym Dudka, Marco Picco, Enzo Marinari, and Gleb Oshanin

TL;DR
This study examines the non-self-averaging behavior of the critical internal energy in a weakly-disordered Baxter model, combining analytical methods and extensive simulations to reveal persistent fluctuations at large system sizes.
Contribution
It provides new insights into the lack of self-averaging of the critical internal energy in a disordered Baxter model, supported by both analytical and numerical evidence.
Findings
Relative variance of internal energy approaches a finite constant as system size increases.
Fluctuations of the critical internal energy remain relevant regardless of disorder sign.
Numerical results confirm earlier predictions about non-self-averaging in disordered Ising models.
Abstract
We investigate the first two moments of the critical internal energy in a weakly disordered two-dimensional Baxter eight-vertex model as a function of the system size , evaluated at the pseudo-critical point. Disorder is introduced via an equivalent representation of the pure eight-vertex model in terms of two ferromagnetic Ising models coupled by a four-spin interaction of strength , where the Ising couplings consist of a uniform ferromagnetic part supplemented by weak Gaussian spatial disorder. In the critical regime, the model is formulated in terms of interacting Grassmann-Majorana spinor fields with quartic interactions and analyzed, for small positive , using a combination of replica and renormalization-group methods. We also run extensive numerical simulations measuring the critical internal energy. Our results show that its relative variance increases with…
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.
