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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…

Probability · Mathematics 2023-03-29 Emma Bailey , Matthew Junge , Jiaqi Liu

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…

Probability · Mathematics 2019-12-09 Elcio Lebensztayn , Jaime Utria

We study the recurrence of one-per-site frog model $\text{FM}(d, p)$ on a $d$-ary tree with drift parameter $p\in [0,1]$, which determines the bias of frogs' random walks. We are interested in the minimal drift $p_{d}$ so that the frog…

Probability · Mathematics 2020-08-24 Chengkun Guo , Si Tang , Ningxi Wei

We provide a uniform upper bound on the minimal drift so that the one-per-site frog model on a $d$-ary tree is recurrent. To do this, we introduce a subprocess that couples across trees with different degrees. Finding couplings for frog…

Probability · Mathematics 2018-08-13 Erin Beckman , Natalie Frank , Yufeng Jiang , Matthew Junge , Si Tang

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…

Probability · Mathematics 2020-06-04 Elcio Lebensztayn , Jaime Utria

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…

Probability · Mathematics 2018-02-27 Jonathan Hermon

Place one active particle at the root of a graph and a Poisson-distributed number of dormant particles at the other vertices. Active particles perform simple random walk. Once the number of visits to a site reaches a random threshold, any…

Probability · Mathematics 2023-05-22 Matthew Junge , Zoe McDonald , Jean Pulla , Lily Reeves

The frog model on the rooted d-ary tree changes from transient to recurrent as the number of frogs per site is increased. We prove that the location of this transition is on the same order as the degree of the tree.

Probability · Mathematics 2016-12-28 Tobias Johnson , Matthew Junge

The frog model is an infection process in which dormant particles begin moving and infecting others once they become infected. We show that on the rooted $d$-ary tree with particle density $\Omega(d^2)$, the set of visited sites contains a…

Probability · Mathematics 2019-10-18 Christopher Hoffman , Tobias Johnson , Matthew Junge

We consider a system of interacting random walks known as the frog model. Let $\mathcal{K}_n=(\mathcal{V}_n,\mathcal{E}_n)$ be the complete graph with $n$ vertices and $o\in\mathcal{V}_n$ be a special vertex called the root. Initially,…

Probability · Mathematics 2024-07-30 Gustavo O. de Carvalho , Fábio P. Machado

The frog model starts with one active particle at the root of a graph and some number of dormant particles at all nonroot vertices. Active particles follow independent random paths, waking all inactive particles they encounter. We prove…

Probability · Mathematics 2019-09-25 Tobias Johnson , Matthew Junge

Consider the following interacting particle system on the $d$-ary tree, known as the frog model: Initially, one particle is awake at the root and i.i.d. Poisson many particles are sleeping at every other vertex. Particles that are awake…

Probability · Mathematics 2016-06-23 Christopher Hoffman , Tobias Johnson , Matthew Junge

We examine an interacting particle system on trees commonly referred to as the frog model. For its initial state, it begins with a single active particle at the root and i.i.d. $\mathrm{Poiss}(\lambda)$ many inactive particles at each…

Probability · Mathematics 2019-10-14 Marcus Michelen , Josh Rosenberg

We prove that the probability the frog model with death and drift on the $d$-ary tree is recurrent can be made positive and thus is not monotone in the drift parameter.

Probability · Mathematics 2025-10-22 Samyah Ahmed , Matthew Junge

We study an interacting particle system in which moving particles activate dormant particles linked by the components of critical bond percolation. Addressing a conjecture from Beckman, Dinan, Durrett, Huo, and Junge for a continuous…

Probability · Mathematics 2020-08-26 Matthew Junge

A two-type version of the frog model on $\mathbb{Z}^d$ is formulated, where active type $i$ particles move according to lazy random walks with probability $p_i$ of jumping in each time step ($i=1,2$). Each site is independently assigned a…

Probability · Mathematics 2019-02-06 Maria Deijfen , Timo Hirscher , Fabio Lopes

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…

Probability · Mathematics 2019-03-05 O. S. M. Alves , F. P. Machado , S. Yu. Popov

Consider a rooted $N$-ary tree. To every vertex of this tree, we attach an i.i.d. continuous random variable. A vertex is called accessible if along its ancestral line, the attached random variables are increasing. We keep accessible…

Probability · Mathematics 2014-03-05 Xinxin Chen

We introduce an extension of the frog model to Euclidean space and prove properties for the spread of active particles. Fix $r>0$ and place a particle at each point $x$ of a unit intensity Poisson point process $\mathcal P \subseteq \mathbb…

Probability · Mathematics 2019-01-31 Erin Beckman , Emily Dinan , Rick Durrett , Ran Huo , Matthew Junge

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…

Probability · Mathematics 2025-07-08 Itai Benjamini , Luiz Renato Fontes , Jonathan Hermon , Fabio Prates Machado
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