Critical behavior of the long-range Ising chain from the largest-cluster probability distribution

Critical behavior of the long-range Ising chain from the largest-cluster probability distribution

Monte Carlo simulations of the 1D Ising model with ferromagnetic interactions decaying with distance \(r\) as \(1/r^{1+\sigma}\) are performed by applying the Swendsen-Wang cluster algorithm with cumulative probabilities. The critical behavior in the non-classical critical regime corresponding to \(...

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Veröffentlicht in:arXiv.org 2000-11
Hauptverfasser: Uzelac, Katarina, Glumac, Zvonko, Anicic, Ante
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Clusters
Computer simulation
Ferromagnetism
Ising model
Monte Carlo simulation
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Zusammenfassung:Monte Carlo simulations of the 1D Ising model with ferromagnetic interactions decaying with distance \(r\) as \(1/r^{1+\sigma}\) are performed by applying the Swendsen-Wang cluster algorithm with cumulative probabilities. The critical behavior in the non-classical critical regime corresponding to \(0.5
ISSN:2331-8422
DOI:10.48550/arxiv.0011306