DocumentCode :
3450126
Title :
Torpid mixing of some Monte Carlo Markov chain algorithms in statistical physics
Author :
Borgs, Christian ; Chayes, Jennifer T. ; Frieze, Alan ; Kim, Jeong Han ; Tetali, Prasad ; Vigoda, Eric ; Vu, Van Ha
Author_Institution :
Microsoft Corp., Redmond, WA, USA
fYear :
1999
fDate :
1999
Firstpage :
218
Lastpage :
229
Abstract :
Studies two widely used algorithms, Glauber dynamics and the Swendsen-Wang (1987) 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 the Swendsen-Wang mixing is torpid at the phase transition point
Keywords :
Markov processes; Monte Carlo methods; Potts model; mixing; phase transformations; physics computing; Glauber dynamics; Monte Carlo Markov chain algorithms; Swendsen-Wang algorithm; hypercubic lattice; independent set model; mixing time; periodic boundary conditions; phase coexistence; phase transition point; q-state Potts model; rectangular subsets; statistical physics; torpid mixing; Algorithm design and analysis; Computer science; Lattices; Mathematics; Microwave integrated circuits; Monte Carlo methods; Physics; Steady-state; Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1999. 40th Annual Symposium on
Conference_Location :
New York City, NY
ISSN :
0272-5428
Print_ISBN :
0-7695-0409-4
Type :
conf
DOI :
10.1109/SFFCS.1999.814594
Filename :
814594
Link To Document :
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