Sharpness for Inhomogeneous Percolation on Quasi-Transitive Graphs
| Autor: | Tim Hulshof, Thomas Beekenkamp |
|---|---|
| Přispěvatelé: | Stochastic Operations Research, Probability |
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Phase transition Transitive relation Pure mathematics 010102 general mathematics Probability (math.PR) Percolation 01 natural sciences Graph Inhomogeneous 010104 statistics & probability Homogeneous Cluster size FOS: Mathematics Almost everywhere 0101 mathematics Statistics Probability and Uncertainty Mathematics - Probability Mathematics |
| Zdroj: | Statistics and Probability Letters, 152, 28-34. Elsevier |
| ISSN: | 0167-7152 |
| DOI: | 10.48550/arxiv.1802.03289 |
| Popis: | In this note we study the phase transition for percolation on quasi-transitive graphs with quasi-transitively inhomogeneous edge-retention probabilities. A quasi-transitive graph is an infinite graph with finitely many different "types" of edges and vertices. We prove that the transition is sharp almost everywhere, i.e., that in the subcritical regime the expected cluster size is finite, and that in the subcritical regime the probability of the one-arm event decays exponentially. Our proof extends the proof of sharpness of the phase transition for homogeneous percolation on vertex-transitive graphs by Duminil-Copin and Tassion [Comm. Math. Phys., 2016], and the result generalizes previous results of Antunovi\'c and Veseli\'c [J. Stat. Phys., 2008] and Menshikov [Dokl. Akad. Nauk 1986]. Comment: 9 pages |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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