Domination by product measures



The Annals of Probability

Domination by product measures

T. M. Liggett, R. H. Schonmann, and A. M. Stacey

Source: Ann. Probab. Volume 25, Number 1 (1997), 71-95.

Abstract

4 We consider families of {0, 1}-valued random variables indexed by the vertices of countable graphs with bounded degree. First we show that if these random variables satisfy the property that conditioned on what happens outside of the neighborhood of each given site, the probability of seeing a 1 at this site is at least a value $p$ which is large enough, then this random field dominates a product measure with positive density. Moreover the density of this dominated product measure can be made arbitrarily close to 1, provided that $p$ is close enough to 1. Next we address the issue of obtaining the critical value of $p$, defined as the threshold above which the domination by positive-density product measures is assured. For the graphs which have as vertices the integers and edges connecting vertices which are separated by no more than $k$ units, this critical value is shown to be $1 - k^k /(k + 1)^{k+1}$, and a discontinuous transition is shown to occur. Similar critical values of $p$ are found for other classes of probability measures on ${0, 1}^{\mathbb{Z}}$. For the class of $k$-dependent measures the critical value is again $1 - k^k /(k + 1)^{k+1}$, with a discontinuous transition. For the class of two-block factors the critical value is shown to be 1/2 and a continuous transition is shown to take place in this case. Thus both the critical value and the nature of the transition are different in the two-block factor and 1-dependent cases.

Primary Subjects: 60G60, 60G10
Secondary Subjects: 60K35
Keywords: Stochastic domination; random fields; product measures; critical points; rescaling

Full-text: Open access

Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aop/1024404279
Mathematical Reviews number (MathSciNet): MR1428500
Digital Object Identifier: doi:10.1214/aop/1024404279
Zentralblatt MATH identifier: 0882.60046

References

AARONSON, J., GILAT, D., KEANE, M. and DE VALK, V. 1989 . An algebraic construction of a class of one-dependent processes. Ann. Probab. 17 128 143.
Mathematical Reviews (MathSciNet): MR89m:60084
Zentralblatt MATH: 0681.60038
ANDJEL, E. 1993 . Characteristic exponents for two-dimensional bootstrap percolation. Ann. Probab. 21 926 935.
Mathematical Reviews (MathSciNet): MR94k:60154
Zentralblatt MATH: 0787.60120
ANTAL, P. and PISZTORA, A. 1996 . On the chemical distance for supercritical Bernoulli percolation. Ann. Probab. 24 1036 1048.
BOLLOBAS, B. 1985 . Random Graphs. Academic Press, London. ´
Mathematical Reviews (MathSciNet): MR88d:05149
DURRETT, R. 1988 . Lecture Notes on Particle Systems and Percolation. Wadsworth & Brooks Cole, Pacific Grove, CA.
Mathematical Reviews (MathSciNet): MR89k:60157
ERDOS, P. and LOVASZ, L. 1975 . Problems and results on 3-chromatic hypergraphs and some ´related results. In Infinite and Finite Sets A. Hajnal, R. Rado and V. T. Sos, eds. Coll. ´ Math. Soc. Janos Bolyai 11 609 627. ´ Z .
LIGGETT, T. M. 1985 . Interacting Particle Systems. Springer, New York.
Mathematical Reviews (MathSciNet): MR86e:60089
PENROSE, M. and PISZTORA, A. 1996 . Large deviations for discrete and continuous percolation. Adv. in Appl. Probab. 28 29 52.
Mathematical Reviews (MathSciNet): MR97c:60243
Zentralblatt MATH: 0853.60085
PISZTORA, A. 1996 . Surface order large deviations for Ising, Potts and percolation models. Probab. Theory Related Fields 104 427 466.
Mathematical Reviews (MathSciNet): MR97d:82016
Zentralblatt MATH: 0842.60022
RUSSO, L. 1982 . An approximate zero-one law.Wahrsch. Verw. Gebiete 61 129 139. Z .
Mathematical Reviews (MathSciNet): MR84e:60153
Zentralblatt MATH: 0501.60043
SCHONMANN, R. H. 1994 . Theorems and conjectures on the droplet-driven relaxation of stochastic Ising models. In Probability and Phase Transition G. Grimmett, ed. 265 301. Kluwer, Dordrecht. Z .
SHEARER, J. B. 1985 . On a problem of Spencer. Combinatorica 5 241 245.
Mathematical Reviews (MathSciNet): MR87k:60034
Zentralblatt MATH: 0587.60012
LOS ANGELES , CALIFORNIA 90024 E-MAIL: tml@math.ucla.edu rhs@math.ucla.edu stacey@math.ucla.edu

2008 © Institute of Mathematical Statistics