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The frog model is a growing system of random walks where a particle is added whenever a new site is visited. A longstanding open question is how often the root is visited on the infinite $d$-ary tree. We prove the model undergoes a phase…

Probability · Mathematics 2018-02-08 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 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

We consider a random interacting particle system, known as the frog model, on infinite Galton-Watson trees allowing offspring zero and one. The system starts with one awake particle (frog) at the root of the tree and a random number of…

Probability · Mathematics 2020-11-23 Sebastian Müller , Gundelinde Maria Wiegel

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…

Probability · Mathematics 2019-06-12 Tobias Johnson , Leonardo T. Rolla

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 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 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

Consider a growing system of random walks on the 3,2-alternating tree, where generations of nodes alternate between having two and three children. Any time a particle lands on a node which has not been visited previously, a new particle is…

Probability · Mathematics 2017-07-14 Josh Rosenberg

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

We study the frog model on $\mathbb{Z}^d$ with drift in dimension $d \geq 2$ and establish the existence of transient and recurrent regimes depending on the transition probabilities. We focus on a model in which the particles perform…

Probability · Mathematics 2021-04-27 Christian Döbler , Nina Gantert , Thomas Höfelsauer , Serguei Popov , Felizitas Weidner

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

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.…

Probability · Mathematics 2026-01-27 Omer Angel , Daniel de la Riva , Jonathan Hermon , Yuliang Shi

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

We prove a shape theorem for a growing set of simple random walks on Z^d, known as frog model. The dynamics of this process is described as follows: There are active particles, which perform independent discrete time SRWs, and sleeping…

Probability · Mathematics 2007-05-23 O. S. M. Alves , F. P. Machado , S. Yu. Popov , K. Ravishankar

It is a celebrated fact that a simple random walk on an infinite $k$-ary tree for $k \geq 2$ returns to the initial vertex at most finitely many times during infinitely many transitions; it is called transient. This work points out the fact…

Probability · Mathematics 2024-05-16 Shuma Kumamoto , Shuji Kijima , Tomoyuki Shirai

Consider a Poisson process on $\mathbb{R}$ with intensity $f$ where $0 \leq f(x)<\infty$ for ${x}\geq 0$ and ${f(x)}=0$ for $x<0$. The "points" of the process represent sleeping frogs. In addition, there is one active frog initially located…

Probability · Mathematics 2017-02-08 Josh Rosenberg

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

The frog model with a Bernoulli initial configuration is an interacting particle system on the $d$-dimensional lattice ($d \geq 2$) with two types of particles: active and sleeping. Active particles perform independent simple random walks.…

Probability · Mathematics 2026-02-10 Ryoki Fukushima , Naoki Kubota

We consider the so-called frog model with random initial configurations. The dynamics of this model is described as follows: Some particles are randomly assigned on any site of the multidimensional cubic lattice. Initially, only particles…

Probability · Mathematics 2026-01-14 Naoki Kubota
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