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Ising models on power-law random graphs

Probability 2011-07-01 v2 Statistical Mechanics Mathematical Physics math.MP

Abstract

We study a ferromagnetic Ising model on random graphs with a power-law degree distribution and compute the thermodynamic limit of the pressure when the mean degree is finite (degree exponent τ>2\tau>2), for which the random graph has a tree-like structure. For this, we adapt and simplify an analysis by Dembo and Montanari, which assumes finite variance degrees (τ>3\tau>3). We further identify the thermodynamic limits of various physical quantities, such as the magnetization and the internal energy.

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Cite

@article{arxiv.1005.4556,
  title  = {Ising models on power-law random graphs},
  author = {Sander Dommers and Cristian Giardinà and Remco van der Hofstad},
  journal= {arXiv preprint arXiv:1005.4556},
  year   = {2011}
}
R2 v1 2026-06-21T15:27:29.248Z