English

Correlated percolation and tricriticality

Disordered Systems and Neural Networks 2015-06-05 v1

Abstract

The recent proliferation of correlated percolation models---models where the addition of edges/vertices is no longer independent of other edges/vertices---has been motivated by the quest to find discontinuous percolation transitions. The leader in this proliferation is what is known as explosive percolation. A recent proof demonstrates that a large class of explosive percolation-type models does not, in fact, exhibit a discontinuous transition[O. Riordan and L. Warnke, Science, {\bf 333}, 322 (2011)]. We, on the other hand, discuss several correlated percolation models, the kk-core model on random graphs, and the spiral and counter-balance models in two-dimensions, all exhibiting discontinuous transitions in an effort to identify the needed ingredients for such a transition. We then construct mixtures of these models to interpolate between a continuous transition and a discontinuous transition to search for a tricritical point. Using a powerful rate equation approach, we demonstrate that a mixture of k=2k=2-core and k=3k=3-core vertices on the random graph exhibits a tricritical point. However, for a mixture of kk-core and counter-balance vertices, heuristic arguments and numerics suggest that there is a line of continuous transitions as the fraction of counter-balance vertices is increased from zero with the line ending at a discontinuous transition only when all vertices are counter-balance. Our results may have potential implications for glassy systems and a recent experiment on shearing a system of frictional particles to induce what is known as jamming.

Keywords

Cite

@article{arxiv.1206.1028,
  title  = {Correlated percolation and tricriticality},
  author = {L. Cao and J. M. Schwarz},
  journal= {arXiv preprint arXiv:1206.1028},
  year   = {2015}
}
R2 v1 2026-06-21T21:14:40.930Z