Quenched central limit theorems for the Ising model on random graphs
  The main goal of the paper is to prove central limit theorems for the magnetization rescaled by $\sqrt{N}$ for the Ising model on random graphs with $N$ vertices. Both random quenched and averaged quenched measures are considered. We work in the uniqueness regime $\beta>\beta_c$ or $\beta>0$ and $B\neq0$, where $\beta$ is the inverse temperature, $\beta_c$ is the critical inverse temperature and $B$ is the external magnetic field. In the random quenched setting our results apply to general tree-like random graphs (as introduced by Dembo, Montanari and further studied by Dommers and the first and third author) and our proof follows that of Ellis in $\mathbb{Z}^d$. For the averaged quenched setting, we specialize to two particular random graph models, namely the 2-regular configuration model and the configuration model with degrees 1 and 2. In these cases our proofs are based on explicit computations relying on the solution of the one dimensional Ising models. 
Cristian Giardina', Claudio Giberti, Remco van der Hofstad, Maria   Luisa Prioriello
math.PR math-ph math.MP