ID: 1706.08390

Metastable Behavior of Bootstrap Percolation on Galton-Watson Trees

June 26, 2017

View on ArXiv

Similar papers 2

Sharp metastability transition for two-dimensional bootstrap percolation with symmetric isotropic threshold rules

March 24, 2023

83% Match
Hugo Duminil-Copin, Ivailo Hartarsky
Probability

We study two-dimensional critical bootstrap percolation models. We establish that a class of these models including all isotropic threshold rules with a convex symmetric neighbourhood, undergoes a sharp metastability transition. This extends previous instances proved for several specific rules. The paper supersedes a draft by Alexander Holroyd and the first author from 2012. While it served a role in the subsequent development of bootstrap percolation universality, we have ch...

Find SimilarView on arXiv

Phase transition in percolation games on rooted Galton-Watson trees

March 20, 2023

83% Match
Sayar Karmakar, Moumanti Podder, ... , Sadhukhan Soumyarup
Probability

We study the bond percolation game and the site percolation game on the rooted Galton-Watson tree $T_{\chi}$ with offspring distribution $\chi$. We obtain the probabilities of win, loss and draw for each player in terms of the fixed points of functions that involve the probability generating function $G$ of $\chi$, and the parameters $p$ and $q$. Here, $p$ is the probability with which each edge (respectively vertex) of $T_{\chi}$ is labeled a trap in the bond (respectively s...

Find SimilarView on arXiv

Random walk on barely supercritical branching random walk

April 12, 2018

82% Match
der Hofstad Remco van, Tim Hulshof, Jan Nagel
Probability

Let $\mathcal{T}$ be a supercritical Galton-Watson tree with a bounded offspring distribution that has mean $\mu >1$, conditioned to survive. Let $\varphi_{\mathcal{T}}$ be a random embedding of $\mathcal{T}$ into $\mathbb{Z}^d$ according to a simple random walk step distribution. Let $\mathcal{T}_p$ be percolation on $\mathcal{T}$ with parameter $p$, and let $p_c = \mu^{-1}$ be the critical percolation parameter. We consider a random walk $(X_n)_{n \ge 1}$ on $\mathcal{T}_p$...

Find SimilarView on arXiv

Bootstrap percolation on the stochastic block model with k communities

December 21, 2018

82% Match
Giovanni Luca Torrisi, Michele Garetto, Emilio Leonardi
Probability
Performance

We analyze the bootstrap percolation process on the stochastic block model (SBM), a natural extension of the Erd\"{o}s--R\'{e}nyi random graph that allows representing the "community structure" observed in many real systems. In the SBM, nodes are partitioned into subsets, which represent different communities, and pairs of nodes are independently connected with a probability that depends on the communities they belong to. Under mild assumptions on system parameters, we prove ...

Find SimilarView on arXiv

Improved bounds on metastability thresholds and probabilities for generalized bootstrap percolation

January 12, 2010

82% Match
Kathrin Bringmann, Karl Mahlburg
Probability
Combinatorics
Number Theory

We generalize and improve results of Andrews, Gravner, Holroyd, Liggett, and Romik on metastability thresholds for generalized two-dimensional bootstrap percolation models, and answer several of their open problems and conjectures. Specifically, we prove slow convergence and localization bounds for Holroyd, Liggett, and Romik's k-percolation models, and in the process provide a unified and improved treatment of existing results for bootstrap, modified bootstrap, and Frobose p...

Find SimilarView on arXiv

Scaling Limit and Critical Exponents for Two-Dimensional Bootstrap Percolation

October 21, 2004

82% Match
Federico Camia
Probability
Statistical Mechanics
Mathematical Physics

Consider a cellular automaton with state space $\{0,1 \}^{{\mathbb Z}^2}$ where the initial configuration $\omega_0$ is chosen according to a Bernoulli product measure, 1's are stable, and 0's become 1's if they are surrounded by at least three neighboring 1's. In this paper we show that the configuration $\omega_n$ at time n converges exponentially fast to a final configuration $\bar\omega$, and that the limiting measure corresponding to $\bar\omega$ is in the universality c...

Find SimilarView on arXiv

Remarks on Bootstrap Percolation in Metric Networks

February 19, 2009

82% Match
T. Tlusty, J. -P. Eckmann
Statistical Mechanics
Biological Physics
Neurons and Cognition

We examine bootstrap percolation in d-dimensional, directed metric graphs in the context of recent measurements of firing dynamics in 2D neuronal cultures. There are two regimes, depending on the graph size N. Large metric graphs are ignited by the occurrence of critical nuclei, which initially occupy an infinitesimal fraction, f_* -> 0, of the graph and then explode throughout a finite fraction. Smaller metric graphs are effectively random in the sense that their ignition re...

Find SimilarView on arXiv

On the speed of random walks on a percolation cluster of trees

March 25, 2005

82% Match
Dayue Chen, Fuxi Zhang
Probability

We consider the simple random walk on the infinite cluster of the Bernoulli bond percolation of trees, and investigate the relation between the speed of the simple random walk and the retaining probability p by studying three classes of trees. A sufficient condition is established for Galton-Watson trees.

Find SimilarView on arXiv

A note on the maximal out-degree of Galton-Watson trees

March 7, 2015

82% Match
Xin He
Probability

In this note we consider both the local maximal out-degree and the global maximal out-degree of Galton-Watson trees. In particular, we show that the tail of any local maximal out-degree and that of the offspring distribution are asymptotically of the same order. However for the global maximal out-degree, this is only true in the subcritical case.

Find SimilarView on arXiv

Invasion Percolation on Galton-Watson Trees

November 29, 2017

82% Match
Marcus Michelen, Robin Pemantle, Josh Rosenberg
Probability

We consider invasion percolation on Galton-Watson trees. On almost every Galton-Watson tree, the invasion cluster almost surely contains only one infinite path. This means that for almost every Galton-Watson tree, invasion percolation induces a probability measure on infinite paths from the root. We show that under certain conditions of the progeny distribution, this measure is absolutely continuous with respect to the limit uniform measure. This confirms that invasion percol...

Find SimilarView on arXiv