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Related papers: The frog model with death revisited

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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 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

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

In this paper we present a recurrence criterion for the frog model on $\mathbb{Z}^d$ with an i.i.d. initial configuration of sleeping frogs and such that the underlying random walk has a drift to the right.

Probability · Mathematics 2014-11-19 Christian Döbler , Lorenz Pfeifroth

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…

Probability · Mathematics 2025-12-04 Gustavo O. de Carvalho , Fábio P. Machado

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 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

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

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…

Probability · Mathematics 2023-09-28 Poly Mathews

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 consider the frog model with geometric lifetime (parameter $1-p$) on homogeneous trees of dimension $d$. In 2002, \cite{alves2002-2} proved that there exists a critical lifetime parameter $p_c\in(0,1)$ above which infinitely many frogs…

Probability · Mathematics 2022-12-28 Sandro Gallo , Caio Pena

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

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

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

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

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

This paper studies a class of growing systems of random walks on regular trees, known as \emph{frog models with geometric lifetime} in the literature. With the help of results from renewal theory, we derive new bounds for their critical…

Probability · Mathematics 2018-04-11 Sandro Gallo , Pablo M. Rodríguez

In this paper we observe the frog model, an infinite system of interacting random walks, on Z with an asymmetric underlying random walk. Under the assumption of transience with a fixed frog distribution, we construct an explicit formula for…

Probability · Mathematics 2015-02-11 Arka P. Ghosh , Steven Noren , Alexander Roitershtein

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 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
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