arXiv · 0911.5144
Fluctuations induce transitions in frustrated sparse networks
Abstract
We analyze, by means of statistical mechanics, a sparse network with random competitive interactions among dichotomic variables pasted on the nodes, namely a Viana-Bray model. The model is described by an infinite series of order parameters (the multi-overlaps) and has two tunable degrees of freedom: the noise level and the connectivity (the averaged number of links). We show that there are no multiple transition lines, one for every order parameter, as a naive approach would suggest, but just one corresponding to ergodicity breaking. We explain this scenario within a novel and simple mathematical technique via a driving mechanism such that, as the first order parameter (the two replica overlap) becomes different from zero due to a real second order phase transition (with properly associated diverging rescaled fluctuations), it enforces all the other multi-overlaps toward positive values thanks to the strong correlations which develop among themselves and the two replica overlap at the critical line.
Explore related subjects
Keep this discovery
Adriano Barra. 2009-11-26. Fluctuations induce transitions in frustrated sparse networks. https://arxiv.org/abs/0911.5144
Cite the original work for its findings. Save a collection to share your selection of sources.