Torpid Mixing of Some Monte Carlo Markov Chain Algorithms in Statistical Physics

  • Authors:
  • Christian Borgs;Jennifer T. Chayex;Jeong Han Kim;Alan Frieze;Prasad Tetali;Eric Vigoda;Van Ha Vu

  • Affiliations:
  • -;-;-;-;-;-;-

  • Venue:
  • FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
  • Year:
  • 1999

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Abstract

We study two widely used algorithms, Glauber dynamics and the Swendsen-Wang algorithm, on rectangular subsets of the hypercubic lattice Zd. We prove that under certain circumstances, the mixing time in a box of side length L with periodic boundary conditions can be exponential in Ld-1. In other words, under these circumstances, the mixing in these widely used algorithms is not rapid; instead, it is torpid.The models we study are the independent set model and the q-state Potts model. For both models, we prove that Glauber dynamics is torpid in the region with phase coexistence. For the Potts model, we prove that Swendsen-Wang is torpid at the phase transition point.