Critical dynamical behavior of the Ising model


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Liu Z., VATANSEVER E., Barkema G. T., Fytas N. G.

Physical Review E, cilt.108, sa.3, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 108 Sayı: 3
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1103/physreve.108.034118
  • Dergi Adı: Physical Review E
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Chemical Abstracts Core, Compendex, INSPEC, MEDLINE, zbMATH
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

We investigate the dynamical critical behavior of the two- and three-dimensional Ising models with Glauber dynamics in equilibrium. In contrast to the usual standing, we focus on the mean-squared deviation of the magnetization M, MSDM, as a function of time, as well as on the autocorrelation function of M. These two functions are distinct but closely related. We find that MSDM features a first crossover at time τ1∼Lz1, from ordinary diffusion with MSDM∼t, to anomalous diffusion with MSDM∼tα. Purely on numerical grounds, we obtain the values z1=0.45(5) and α=0.752(5) for the two-dimensional Ising ferromagnet. Related to this, the magnetization autocorrelation function crosses over from an exponential decay to a stretched-exponential decay. At later times, we find a second crossover at time τ2∼Lz2. Here, MSDM saturates to its late-time value ∼L2+γ/ν, while the autocorrelation function crosses over from stretched-exponential decay to simple exponential one. We also confirm numerically the value z2=2.1665(12), earlier reported as the single dynamic exponent. Continuity of MSDM requires that α(z2-z1)=γ/ν-z1. We speculate that z1=1/2 and α=3/4, values that indeed lead to the expected z2=13/6 result. A complementary analysis for the three-dimensional Ising model provides the estimates z1=1.35(2), α=0.90(2), and z2=2.032(3). While z2 has attracted significant attention in the literature, we argue that for all practical purposes z1 is more important, as it determines the number of statistically independent measurements during a long simulation.