article · Journal of Statistical Physics · 2012
The Abelian Sandpile Model on a Random Binary Tree
F. Redig, W. M. Ruszel, E. Saada
Cited by 3Open access
Abstract
We study the abelian sandpile model on a random binary tree. Using a transfer matrix approach introduced by Dhar and Majumdar, we prove exponential decay of correlations, and in a small supercritical region (i.e., where the branching process survives with positive probability) exponential decay of avalanche sizes. This shows a phase transition phenomenon between exponential decay and power law decay of avalanche sizes. Our main technical tools are: (1) A recursion for the ratio between the numbers of weakly and strongly allowed configurations which is proved to have a well-defined stochastic solution; (2) quenched and annealed estimates of the eigenvalues of a product of n random transfer matrices.
Cite this paper
Redig, F., Ruszel, W. M., & Saada, E. (2012). The Abelian Sandpile Model on a Random Binary Tree. Journal of Statistical Physics, 147(4), 653–677. https://doi.org/10.1007/s10955-012-0498-6
Redig, F., et al. “The Abelian Sandpile Model on a Random Binary Tree.” Journal of Statistical Physics, vol. 147, no. 4, 2012, pp. 653–77, https://doi.org/10.1007/s10955-012-0498-6.
Redig, F., W. M. Ruszel, and E. Saada. 2012. “The Abelian Sandpile Model on a Random Binary Tree.” Journal of Statistical Physics 147 (4): 653–77. https://doi.org/10.1007/s10955-012-0498-6.
Redig, F., Ruszel, W.M. and Saada, E. (2012) ‘The Abelian Sandpile Model on a Random Binary Tree’, Journal of Statistical Physics, 147(4), pp. 653–677. Available at: https://doi.org/10.1007/s10955-012-0498-6.
@article{redig2012abelian,
title = {{The Abelian Sandpile Model on a Random Binary Tree}},
author = {Redig, F. and Ruszel, W. M. and Saada, E.},
journal = {Journal of Statistical Physics},
volume = {147},
number = {4},
pages = {653--677},
year = {2012},
doi = {10.1007/s10955-012-0498-6}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.