Ising models on power-law random graphs

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 $\tau >2$), 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 ($\tau >3$). We further identify the thermodynamic limits of various physical quantities, such as the magnetization and the internal energy.

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• Critical phenomena in complex networks
• Mean field dilute ferromagnet I. High temperature and zero temperature behavior