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Dependent Percolation


Dependent percolation in discrete percolation theory consists of models in which the states of the various graph edges (in the case of bond percolation models) or graph vertices (in site percolation models) are not independent.

Many models of this type come about naturally in a number of fields. For example, a popular tool in statistical mechanics is the two-dimensional Ising model, a type of dependent site percolation model used to study the dipole moments of magnetic spins. Other examples include the Potts models-generalizations of the Ising model in which sigma is allowed to take on n>=1 different values rather than the usual two-and the random-cluster model.

Dependent percolation models also occur on graphs in arbitrary dimension and in continuum percolation theory. Dependent random fields on countable graphs with bounded vertex degree are studied by Liggett et al. (1997), and dependent continuum models built from interacting germ-grain models are studied by Coupier and Dereudre (2014).


See also

AB Percolation, Bernoulli Percolation Model, Bond Percolation, Boolean Model, Boolean-Poisson Model, Bootstrap Percolation, Cayley Tree, Cluster, Cluster Perimeter, Continuum Percolation Theory, Discrete Percolation Theory, Disk Model, First-Passage Percolation, Germ-Grain Model, Inhomogeneous Percolation Model, Lattice Animal, Long-Range Percolation Model, Mixed Percolation Model, Oriented Percolation Model, Percolation, Percolation Theory, Percolation Threshold, Polyomino, Potts Model, Random-Cluster Model, Random-Connection Model, Random Walk, s-Cluster, s-Run, Site Percolation

Portions of this entry contributed by Christopher Stover

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References

Balister, P. N.; Bollobás, B.; and Stacey, A. M. "Dependent Percolation in Two Dimensions." Prob. Theory Relat. Fields 117, 495-513, 2000.Chayes, J. T.; Puha, A.; and Sweet, T. "Independent and Dependent Percolation." https://www.cts.cuni.cz/soubory/konference/pdf.pdf.Coupier, D. and Dereudre, D. "Continuum Percolation for Quermass Interaction Model." Electron. J. Probab. 19, Paper 35, 1-19, 2014. https://doi.org/10.1214/EJP.v19-2298.Grimmett, G. Percolation, 2nd ed. Berlin, Germany: Springer-Verlag, 1999.Liggett, T. M.; Schonmann, R. H.; and Stacey, A. M. "Domination by Product Measures." Ann. Probab. 25, 71-95, 1997. https://doi.org/10.1214/aop/1024404279.Newman, C. M. "Ising Models and Dependent Percolation." In Topics in Statistical Dependence. Proceedings of the Symposium on Dependence in Probability and Statistics Held in Somerset, Pennsylvania, August 1-5, 1987 (Ed. H. W. Block, A. R. Sampson, and T. H. Savits). Hayward, CA: Institute of Mathematical Statistics, pp. 395-401, 1990.

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Dependent Percolation

Cite this as:

Weisstein, Eric W., with contributions by Christopher Stover. "Dependent Percolation." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/DependentPercolation.html

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