English

Domain statistics in the relaxation of the one-dimensional Ising model with strong long-range interactions

Statistical Mechanics 2023-08-09 v1

Abstract

After a zero temperature quench, we study the kinetics of the one-dimensional Ising model with long-range interactions between spins at distance rr decaying as rαr^{-\alpha}, with α1\alpha \le 1. As shown in our recent study [SciPost Phys 10, 109 (2021)] that only a fraction of the non-equilibrium trajectories is characterized by the presence of coarsening domains while in the remaining ones the system is quickly driven towards a magnetised state. Restricting to realisations displaying coarsening we compute numerically the probability distribution of the size of the domains and find that it exhibits a scaling behaviour with an unusual α\alpha-dependent power-law decay. This peculiar behaviour is also related to the divergence of the average size of domains with system size at finite times. Such a scenario differs from the one observed when α>1\alpha>1, where the distribution decays exponentially. Finally, based on numerical results and on analytical calculations we argue that the average domain size grows asymptotically linearly in time.

Keywords

Cite

@article{arxiv.2303.14715,
  title  = {Domain statistics in the relaxation of the one-dimensional Ising model with strong long-range interactions},
  author = {Federico Corberi and Manoj Kumar and Eugenio Lippiello and Paolo Politi},
  journal= {arXiv preprint arXiv:2303.14715},
  year   = {2023}
}

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10 pages