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We consider one-dimensional activated random walk (ARW) on $\mathbb{Z}$ started from a `point source' initial condition, with many particles at the origin and no other particles. We prove that, uniformly throughout a macroscopic window…

Probability · Mathematics 2026-01-13 Christopher Hoffman , Jacob Richey , Hyojeong Son

We consider Activated Random Walk (ARW), a particle system with mass conservation, on the cycle $\mathbb{Z}/n\mathbb{Z}$. One starts with a mass density $\mu>0$ of initially active particles, each of which performs a simple symmetric random…

Probability · Mathematics 2018-04-09 Riddhipratim Basu , Shirshendu Ganguly , Christopher Hoffman , Jacob Richey

We consider Activated Random Walk (ARW), a model which generalizes the Stochastic Sandpile, one of the canonical examples of self organized criticality. Informally ARW is a particle system on $\mathbb{Z}$ with mass conservation. One starts…

Probability · Mathematics 2017-12-05 Riddhipratim Basu , Shirshendu Ganguly , Christopher Hoffman

We consider the activated random walk (ARW) model where particles follow the path of a general Markov process on a general graph. We prove ARW dominates a simpler process, multiple source internal aggregation (MSIA), and use this to…

Probability · Mathematics 2010-12-30 Eric Shellef

Activated Random Walks, on $\mathbb{Z}^d$ for any $d\geqslant 1$, is an interacting particle system, where particles can be in either of two states: active or frozen. Each active particle performs a continuous-time simple random walk during…

Probability · Mathematics 2024-09-04 Amine Asselah , Nicolas Forien , Alexandre Gaudillière

We consider the activated random walk (ARW) model on $\mathbb{Z}^d$, which undergoes a transition from an absorbing regime to a regime of sustained activity. In any dimension we prove that the system is in the active regime when the…

Mathematical Physics · Physics 2017-01-13 Lorenzo Taggi

Activated Random Walk is a particle system displaying Self-Organized Criticality, in that the dynamics spontaneously drive the system to a critical state. How universal is this critical state? We state many interlocking conjectures aimed at…

Probability · Mathematics 2023-06-16 Lionel Levine , Vittoria Silvestri

We consider activated random walk (ARW), an interacting particle system and prototypical model of self-organized criticality in a setting which combines mean-field behavior with the geometry of an arbitrary graph, which we call the village…

Probability · Mathematics 2026-05-11 Balázs Ráth , Jacob Richey , Miklós Salánki

We show that Activated Random Walk on $\mathbb{Z}$ is explosive above criticality. That is, activating a single particle in a supercritical state of sleeping particles triggers an infinite avalanche of activity with positive probability.…

We consider the Activated Random Walk model on $\mathbb{Z}$. In this model, each particle performs a continuous-time simple symmetric random walk, and falls asleep at rate $\lambda$. A sleeping particle does not move but it is reactivated…

Probability · Mathematics 2025-11-04 Christopher Hoffman , Jacob Richey , Leonardo T. Rolla

We show that for small enough sleep rate, the critical density of the symmetric Activated Random Walk model on $\mathbb Z^2$ is strictly less than one.

Probability · Mathematics 2022-03-29 Yiping Hu

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…

Probability · Mathematics 2026-04-08 Antal A. Járai , Christian Mönch , Lorenzo Taggi

Activated Random Walk is a system of interacting particles which presents a phase transition and a conjectured phenomenon of self-organized criticality. In this note, we prove that, in dimension 1, in the supercritical case, when a segment…

Probability · Mathematics 2025-03-28 Nicolas Forien

We prove that for the Activated Random Walks model on transitive unimodular graphs, if there is fixation, then every particle eventually fixates, almost surely. We deduce that the critical density is at most 1. Our methods apply for much…

Probability · Mathematics 2009-10-23 Gideon Amir , Ori Gurel-Gurevich

Bak, Tang, and Wiesenfeld developed their theory of self-organized criticality in the late 1980s to explain why many real-life processes exhibit signs of critical behavior despite the absence of a tuning parameter. A decade later, Dickman,…

Probability · Mathematics 2024-07-11 Christopher Hoffman , Tobias Johnson , Matthew Junge

In this paper we present rigorous results on the critical behavior of the Activated Random Walk model. We conjecture that on a general class of graphs, including $\mathbb{Z}^d$, and under general initial conditions, the system at the…

Probability · Mathematics 2018-06-12 Manuel Cabezas , Leonardo T. Rolla , Vladas Sidoravicius

To explain the ubiquity of power laws and fractals in nature, Bak, Tang, and Wiesenfeld formulated simple conditions for a system to self-organize into a critical state. Dickman, Mu\~noz, Vespignani, and Zapperi postulated that the…

Statistical Mechanics · Physics 2026-05-04 Christopher Hoffman , Tobias Johnson , Matthew Junge , Josh Meisel

Some stochastic systems are particularly interesting as they exhibit critical behavior without fine-tuning of a parameter, a phenomenon called self-organized criticality. In the context of driven-dissipative steady states, one of the main…

Probability · Mathematics 2020-09-29 Leonardo T. Rolla

In this article, we study the existence of an absorbing-state phase transition of an Abelian process that generalises the Activated Random Walk (ARW). Given a vertex transitive $G=(V,E)$, we associate to each site $x \in V$ a capacity $w_x…

Probability · Mathematics 2022-06-16 Leandro Chiarini , Alexandre Stauffer

We show that the critical density of the Activated Random Walk model on $\mathbb{Z}^d$ is strictly less than one when the sleep rate $\lambda$ is small enough, and tends to $0$ when $\lambda\to 0$, in any dimension $d\geqslant 1$. As far as…

Probability · Mathematics 2024-09-04 Nicolas Forien , Alexandre Gaudillière
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