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Can Extra Updates Delay Mixing?

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Abstract

We consider Glauber dynamics (starting from an extremal configuration) in a monotone spin system, and show that interjecting extra updates cannot increase the expected Hamming distance or the total variation distance to the stationary distribution. We deduce that for monotone Markov random fields, when block dynamics contracts a Hamming metric, single-site dynamics mixes in O(n log n) steps on an n-vertex graph. In particular, our result completes work of Kenyon, Mossel and Peres concerning Glauber dynamics for the Ising model on trees. Our approach also shows that on bipartite graphs, alternating updates systematically between odd and even vertices cannot improve the mixing time by more than a factor of log n compared to updates at uniform random locations on an n-vertex graph. Our result is especially effective in comparing block and single-site dynamics; it has already been used in works of Martinelli, Toninelli, Sinclair, Mossel, Sly, Ding, Lubetzky, and Peres in various combinations.

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References

  1. Alon, N., Spencer, J.: The Probabilistic Method, 3rd ed., Hoboken, New Jersey: John Wiley & Sons, 2008

  2. van den Berg J., Brouwer R.: Random sampling for the monomer-dimer model on a lattice. J. Math. Phys. 41, 1585–1597 (1999)

    Article  Google Scholar 

  3. Berger N., Kenyon C., Mossel E., Peres Y.: Glauber dynamics on trees and hyperbolic graphs. Prob. Th. Rel. Fields 131, 311–340 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  4. Bubley, R., Dyer, M.: Path coupling: a technique for proving rapid mixing in Markov chains. In: Proceedings of the 38th Annual Symposium on Foundations of Computer Science (FOCS), Los Alamitos, CA: IEEE Comp. Soc., 1997, pp. 223–231

  5. Ding J., Lubetzky E., Peres Y.: Mixing time of critical Ising model on trees is polynomial in the height. Commun. Math. Phys. 295, 161–207 (2010)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  6. Ding J., Peres Y.: Mixing time for the Ising model: a uniform lower bound for all graphs. Ann. l’Inst. H. Poincaré - Prob. et Stat. 47, 1020–1028 (2011)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  7. Dyer M., Goldberg L.A., Jerrum M.: Systematic scan for sampling colourings. Ann. Appl. Prob. 16, 185–230 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  8. Dyer M., Goldberg L.A., Jerrum M.: Dobrushin conditions and systematic scan. Comb. Prob. Comp. 17, 761–779 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  9. Dyer M., Sinclair A., Vigoda E., Weitz D.: Mixing in time and space for lattice spin systems: A combinatorial view. Rand. Struct. Alg. 24, 461–479 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  10. Hayes, T.P., Sinclair, A.: A general lower bound for mixing of single-site dynamics on graphs. In: 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2005), Los Alamitos, CA: IEEE Comp. Soc., 2005, pp. 511–520

  11. Holroyd A.: Some circumstances where extra updates can delay mixing. J. Stat. Phys. 145, 1649–1652 (2011)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  12. Kenyon, C., Mossel, E., Peres, Y.: Glauber dynamics on trees and hyperbolic graphs (extended abstract). In: 42nd IEEE Symposium on Foundations of Computer Science (FOCS), Las Vegas, NV, 2001), Los Alamitos, CA: IEEE Computer Soc., 2001, pp. 568–578

  13. Levin, D. A., Peres, Y., Wilmer, E.: Markov Chains and Mixing Times, Providence, RI: Amer. Math. Soc., 2008

  14. Liggett, T.: Interacting particle systems. New York: Springer, 1985

  15. Martinelli, F.: Lectures on Glauber dynamics for discrete spin models. In: Lectures on probability theory and statistics (Saint-Flour, 1997) Lecture Notes in Math. 1717, Berlin: Springer, 1998, pp. 93–191

  16. Martinelli, F.: Relaxation times of Markov chains in statistical mechanics and combinatorial structures. In: Encyclopedia of Mathematical Sciences, Vol. 110, Berlin-Heidelberg-New York: Springer, 2003, pp. 175–272

  17. Martinelli F., Olivieri E.: Approach to equilibrium of Glauber dynamics in the one phase region I: The attractive case. Commun. Math. Phys. 161, 447–486 (1994)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  18. Martinelli, F., Sinclair, A.: Mixing time for the Solid-on-Solid model. In: Proc. ACM STOC 2009, New York: ACM, 2009, pp. 571–580

  19. Martinelli F., Sinclair A., Weitz D.: Glauber dynamics on trees: Boundary conditions and mixing time. Commun. Math. Phys. 250, 301–334 (2004)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  20. Martinelli F., Toninelli F.: On the mixing time of the 2D stochastic Ising model with “plus” boundary conditions at low temperature. Commun. Math. Phys. 296, 175–213 (2010)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  21. Mossel E., Sly A.: Exact Thresholds for Ising-Gibbs Samplers on General Graphs. Ann. Prob. 41(1), 294–328 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  22. Nacu S.: Glauber dynamics on the cycle is monotone. Prob. Th. Rel. Fields 127, 177–185 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  23. Peres, Y.: Lectures on Mixing for Markov Chains and Spin Systems. University of British Columbia, Summary at http://www.stat.berkeley.edu/~peres/ubc.pdf, 2005

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Correspondence to Yuval Peres.

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Communicated by F. L. Toninelli

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Peres, Y., Winkler, P. Can Extra Updates Delay Mixing?. Commun. Math. Phys. 323, 1007–1016 (2013). https://doi.org/10.1007/s00220-013-1776-0

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