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The frog model is a system of interacting random walks. Initially, there is one particle at each vertex of a connected graph $\mathcal{G}$. All particles are inactive at time zero, except for the one which is placed at the root of…

概率论 · 数学 2022-10-12 Gustavo O. de Carvalho , Fábio P. Machado

We study a system of simple random walks on $\mathcal{T}_{d,n} = \mathcal{V}_{d,n}, \mathcal{E}_{d,n})$, the $d$-ary tree of depth $n$, known as the frog model. Initially there are Pois($\lambda$) particles at each site, independently, with…

概率论 · 数学 2018-02-27 Jonathan Hermon

We study a system of random walks, known as the frog model, starting from a profile of independent Poisson($\lambda$) particles per site, with one additional active particle planted at some vertex $\mathbf{o}$ of a finite connected simple…

We study a system of simple random walks on graphs, known as frog model. This model can be described as follows: There are active and sleeping particles living on some graph G. Each active particle performs a simple random walk with…

概率论 · 数学 2019-03-05 O. S. M. Alves , F. P. Machado , S. Yu. Popov

The frog model is a stochastic model for the spreading of an epidemic on a graph, in which a dormant particle starts to perform a simple random walk on the graph and to awake other particles, once it becomes active. We study two versions of…

概率论 · 数学 2020-01-29 Elcio Lebensztayn , Mario Andres Estrada

We consider the interacting particle system on the homogeneous tree of degree $(d + 1)$, known as frog model. In this model, active particles perform independent random walks, awakening all sleeping particles they encounter, and dying after…

概率论 · 数学 2019-12-09 Elcio Lebensztayn , Jaime Utria

We study the frog model with death on the biregular tree $\mathbb{T}_{d_1,d_2}$. Initially, there is a random number of awake and sleeping particles located on the vertices of the tree. Each awake particle moves as a discrete-time…

概率论 · 数学 2020-06-04 Elcio Lebensztayn , Jaime Utria

We consider an elementary model for self-organised criticality, the activated random walk on the complete graph. We introduce a discrete time Markov chain as follows. At each time step, we add an active particle at a random vertex and let…

概率论 · 数学 2026-04-08 Antal A. Járai , Christian Mönch , Lorenzo Taggi

The frog model is a branching random walk on a graph in which particles branch only at unvisited sites. Consider an initial particle density of $\mu$ on the full $d$-ary tree of height $n$. If $\mu= \Omega( d^2)$, all of the vertices are…

概率论 · 数学 2019-12-04 Christopher Hoffman , Tobias Johnson , Matthew Junge

We consider a slight modification of the frog model. For a given graph, each vertex has $\mathrm{Poisson}(\lambda)$ particles (or frogs). At time zero, only the particles at the origin are active, and all the other particles are sleeping.…

概率论 · 数学 2026-01-27 Omer Angel , Daniel de la Riva , Jonathan Hermon , Yuliang Shi

For a finite graph $G=(V,E)$ let $G^*$ be obtained by considering a random perfect matching of $V$ and adding the corresponding edges to $G$ with weight $\varepsilon$, while assigning weight 1 to the original edges of $G$. We consider…

概率论 · 数学 2023-10-17 Zsuzsanna Baran , Jonathan Hermon , Anđela Šarković , Perla Sousi

The frog model is an interacting particle system on a graph. Active particles perform independent simple random walks, while sleeping particles remain inert until visited by an active particle. Some number of sleeping particles are placed…

概率论 · 数学 2019-06-12 Tobias Johnson , Leonardo T. Rolla

Place an active particle at the root of the infinite $d$-ary tree and dormant particles at each non-root site. Active particles move towards the root with probability $p$ and otherwise move to a uniformly sampled child vertex. When an…

概率论 · 数学 2023-09-28 Poly Mathews

This article introduces a model for interacting vertex-reinforced random walks, each taking values on a complete sub-graph of a locally finite undirected graph. The transition probability for a walk to a given vertex depends on the…

概率论 · 数学 2025-08-25 Fernando P. A. Prado , Rafael A. Rosales

We study the frog model on \( \mathbb{Z} \) with geometric lifetimes, introducing a random survival parameter. Active and inactive particles are placed at the vertices of \( \mathbb{Z} \). The lifetime of each active particle follows a…

概率论 · 数学 2025-12-04 Gustavo O. de Carvalho , Fábio P. Machado

Consider a system of $K$ particles moving on the vertex set of a finite connected graph with at most one particle per vertex. If there is one, the particle at $x$ chooses one of the $\hbox{deg} (x)$ neighbors of its location uniformly at…

概率论 · 数学 2019-06-06 Shiba Biswal , Nicolas Lanchier

We consider an interacting particle system on trees known as the frog model: initially, a single active particle begins at the root and i.i.d.~$\mathrm{Poiss}(\lambda)$ many inactive particles are placed at each non-root vertex. Active…

概率论 · 数学 2024-01-24 Marcus Michelen , Josh Rosenberg

We examine a system of interacting random walks with leftward drift on $\mathbb{Z}$, which begins with a single active particle at the origin and some distribution of inactive particles on the positive integers. Inactive particles become…

概率论 · 数学 2017-07-26 Josh Rosenberg

In this paper we study the strict majority bootstrap percolation process on graphs. Vertices may be active or passive. Initially, active vertices are chosen independently with probability p. Each passive vertex becomes active if at least…

社会与信息网络 · 计算机科学 2013-11-21 Marcos Kiwi , Pablo Moisset de Espanés , Ivan Rapaport , Sergio Rica , Guillaume Theyssier

Place an active particle at the root of a $d$-ary tree and a single dormant particle at each non-root site. In discrete time, active particles move towards the root with probability $p$ and, otherwise, away from the root to a uniformly…

概率论 · 数学 2023-03-29 Emma Bailey , Matthew Junge , Jiaqi Liu
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