This article is cited in 12 papers

Exact Free Energies of Statistical Systems on Random Networks

Naoki Sasakura^a, Yuki Sato<sup>b

a</sup> Yukawa Institute for Theoretical Physics, Kyoto University, Kyoto 606-8502, Japan
^b National Institute for Theoretical Physics, Department of Physics and Centre for Theoretical Physics, University of the Witwartersrand, WITS 2050, South Africa

Abstract: Statistical systems on random networks can be formulated in terms of partition functions expressed with integrals by regarding Feynman diagrams as random networks. We consider the cases of random networks with bounded but generic degrees of vertices, and show that the free energies can be exactly evaluated in the thermodynamic limit by the Laplace method, and that the exact expressions can in principle be obtained by solving polynomial equations for mean fields. As demonstrations, we apply our method to the ferromagnetic Ising models on random networks. The free energy of the ferromagnetic Ising model on random networks with trivalent vertices is shown to exactly reproduce that of the ferromagnetic Ising model on the Bethe lattice. We also consider the cases with heterogeneity with mixtures of orders of vertices, and derive the known formula of the Curie temperature.

Keywords: random networks; exact results; phase transitions; Ising model; quantum gravity.

MSC: 05C82; 37A60; 46N55; 82B20; 81U15; 83C15

Received: June 10, 2014; in final form August 7, 2014; Published online August 15, 2014

Language: English

DOI: 10.3842/SIGMA.2014.087

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ArXiv: 1402.0740