Mixing time for the Ising model : a uniform lower bound for all graphs
Annales de l'I.H.P. Probabilités et statistiques (2011)
- Volume: 47, Issue: 4, page 1020-1028
- ISSN: 0246-0203
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topDing, Jian, and Peres, Yuval. "Mixing time for the Ising model : a uniform lower bound for all graphs." Annales de l'I.H.P. Probabilités et statistiques 47.4 (2011): 1020-1028. <http://eudml.org/doc/243582>.
@article{Ding2011,
abstract = {Consider Glauber dynamics for the Ising model on a graph of n vertices. Hayes and Sinclair showed that the mixing time for this dynamics is at least nlog n/f(Δ), where Δ is the maximum degree and f(Δ) = Θ(Δlog2Δ). Their result applies to more general spin systems, and in that generality, they showed that some dependence on Δ is necessary. In this paper, we focus on the ferromagnetic Ising model and prove that the mixing time of Glauber dynamics on any n-vertex graph is at least (1/4 + o(1))nlog n.},
author = {Ding, Jian, Peres, Yuval},
journal = {Annales de l'I.H.P. Probabilités et statistiques},
keywords = {Glauber dynamics; mixing time; Ising model; Galuber dynamics},
language = {eng},
number = {4},
pages = {1020-1028},
publisher = {Gauthier-Villars},
title = {Mixing time for the Ising model : a uniform lower bound for all graphs},
url = {http://eudml.org/doc/243582},
volume = {47},
year = {2011},
}
TY - JOUR
AU - Ding, Jian
AU - Peres, Yuval
TI - Mixing time for the Ising model : a uniform lower bound for all graphs
JO - Annales de l'I.H.P. Probabilités et statistiques
PY - 2011
PB - Gauthier-Villars
VL - 47
IS - 4
SP - 1020
EP - 1028
AB - Consider Glauber dynamics for the Ising model on a graph of n vertices. Hayes and Sinclair showed that the mixing time for this dynamics is at least nlog n/f(Δ), where Δ is the maximum degree and f(Δ) = Θ(Δlog2Δ). Their result applies to more general spin systems, and in that generality, they showed that some dependence on Δ is necessary. In this paper, we focus on the ferromagnetic Ising model and prove that the mixing time of Glauber dynamics on any n-vertex graph is at least (1/4 + o(1))nlog n.
LA - eng
KW - Glauber dynamics; mixing time; Ising model; Galuber dynamics
UR - http://eudml.org/doc/243582
ER -
References
top- [1] D. Aldous. Random walks on finite groups and rapidly mixing Markov chains. In Seminar on Probability, XVII 243–297. Lecture Notes in Math. 986. Springer, Berlin, 1983. Zbl0514.60067MR770418
- [2] D. Aldous and J. A. Fill. Reversible Markov chains and random walks on graphs. Available at http://www.stat.berkeley.edu/~aldous/RWG/book.html. To appear.
- [3] R. S. Ellis and J. L. Monroe. A simple proof of the GHS and further inequalities. Comm. Math. Phys. 41 (1975) 33–38. MR376053
- [4] H.-O. Georgii, O. Häggström and C. Maes. The random geometry of equilibrium phases. In Phase Transitions and Critical Phenomena 1–142. Phase Transit. Crit. Phenom. 18. Academic Press, San Diego, CA, 2001. MR2014387
- [5] R. B. Griffiths, C. A. Hurst and S. Sherman. Concavity of magnetization of an Ising ferromagnet in a positive external field. J. Math. Phys. 11 (1970) 790–795. MR266507
- [6] T. P. Hayes and A. Sinclair. A general lower bound for mixing of single-site dynamics on graphs. Ann. Appl. Probab. 17 (2007) 931–952. Preliminary version appeared in Proceedings of IEEE FOCS 2005511–520. Zbl1125.60075MR2326236
- [7] J. L. Lebowitz. GHS and other inequalities. Comm. Math. Phys. 35 (1974) 87–92. MR339738
- [8] D. A. Levin, M. Luczak and Y. Peres. Glauber dynamics for the mean-field Ising model: Cut-off, critical power law, and metastability. Probab. Theory Related Fields 146 (2009) 223–265. Zbl1187.82076MR2550363
- [9] D. A. Levin, Y. Peres and E. L. Wilmer. Markov Chains and Mixing Times. Amer. Math. Soc., Providence, RI, 2009. Zbl1160.60001MR2466937
- [10] E. Lubetzky and A. Sly. Cutoff for the Ising model on the lattice. Preprint, 2009. Zbl1273.82014
- [11] F. Martinelli. Lectures on Glauber dynamics for discrete spin models. In Lectures on Probability Theory and Statistics (Saint-Flour, 1997) 93–191. Lecture Notes in Math. 1717. Springer, Berlin, 1999. Zbl0930.00052MR1746301
- [12] Ş. Nacu. Glauber dynamics on the cycle is monotone. Probab. Theory Related Fields 127 (2003) 177–185. Zbl1068.82014MR2013980
- [13] Y. Peres. Lectures on “Mixing for Markov Chains and Spin Systems,” Univ. British Columbia, August 2005. Available at http://www.stat.berkeley.edu/~peres/ubc.pdf.
- [14] Y. Peres and P. Winkler. Can extra updates delay mixing? To appear.
- [15] A. Sinclair. Algorithms for Random Generation and Counting. Progress in Theoretical Computer Science. Birkhäuser, Boston, MA, 1993. Zbl0780.68096MR1201590
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