The random clusters introduced by Fortuin and Kasteleyn (FK) and analyzed by Coniglio and Klein (CK) for Ising and related models have led first Swendsen and Wang and then Wolff to formulate remarkably efficient Markov chain Monte Carlo sampling schemes that weaken the critical slowing down. In frustrated models, however, no standard approach has yet been identified to achieve comparable gains in configurational sampling at low frustration—let alone to efficiently sample the strongly frustrated regime. To understand why formulating appropriate cluster criteria for frustrated models has thus far been elusive, we here study minimal short-range attractive and long-range repulsive as well as spin-glass models on Bethe lattices. Using a generalization of the CK approach and the cavity-field method, the appropriateness and limitations of FK-CK-type clusters are identified. We find that a standard, constructive cluster scheme is then inoperable, and that the frustration range over which generalized FK-CK clusters are even definable is finite. These results demonstrate the futility of seeking constructive cluster schemes for frustrated systems but leaves open the possibility that alternate approaches could be devised.

Close

PrevNext

View figure in article

• Critical phenomena
• Percolation
• Phase transitions
• Spin glasses
• Bethe ansatz
• Cavity methods
• Mean-field & cluster methods
• Random bond Ising model