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

نویسندگان

  • Christian Borgs
  • Jennifer T. Chayes
  • Alan M. Frieze
  • Jeong Han Kim
  • Prasad Tetali
  • Eric Vigoda
  • Van H. Vu
چکیده

We study two widely used algorithms, Glauber dynamics and the Swendsen-Wang algorithm, on rectangular subsets of the hypercubic lattice Z. We prove that under certain circumstances, the mixing time in a box of side length L with periodic boundary conditions can be exponential in L. 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.

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تاریخ انتشار 1999