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The vertex-reinforced jump process (VRJP), introduced by Davis and Volkov, is a continuous-time process that tends to come-back to already visited vertices. It is closely linked to the edge-reinforced random walk (ERRW) introduced by…

Probability · Mathematics 2019-11-07 Rémy Poudevigne

We study the asymptotic behaviour of the martingale ($\psi$ n (o)) n$\in$N associated with the Vertex Reinforced Jump Process (VRJP). We show that it is bounded in L p for every p > 1 on trees and uniformly integrable on Z d in all the…

Probability · Mathematics 2023-06-02 Valentin Rapenne

This paper concerns the Vertex reinforced jump process (VRJP), the Edge reinforced random walk (ERRW) and their link with a random Schr\"odinger operator. On infinite graphs, we define a 1-dependent random potential $\beta$ extending that…

Probability · Mathematics 2018-07-20 Christophe Sabot , Xiaolin Zeng

Edge-reinforced random walk (ERRW), introduced by Coppersmith and Diaconis in 1986, is a random process, which takes values in the vertex set of a graph $G$, and is more likely to cross edges it has visited before. We show that it can be…

Probability · Mathematics 2013-10-21 Christophe Sabot , Pierre Tarres

The vertex-reinforced jump process (VRJP) is a form of self-interacting random walk in which the walker is biased towards returning to previously visited vertices with the bias depending linearly on the local time at these vertices. We…

Probability · Mathematics 2021-05-17 Gady Kozma , Ron Peled

We investigate the non-reversible generalization of the Vertex-Reinforced Jump Process (VRJP), called the *-Vertex-Reinforced Jump Process (*-VRJP) and introduced by Bacallado, Sabot and Tarr\`es (2020). It can be seen as the…

Probability · Mathematics 2024-12-30 Christophe Sabot , Pierre Tarrès

This paper concerns the Vertex Reinforced Jump Process (VRJP) and its representations as a Markov process in random environment. We show that all possible representations of the VRJP as a mixture of Markov processes can be expressed in a…

Probability · Mathematics 2019-03-26 Thomas Gerard

We prove the vertex-reinforced jump process (VRJP) is recurrent in two dimensions for any translation invariant finite range initial rates. Our proof has two main ingredients. The first is a direct connection between the VRJP and sigma…

Mathematical Physics · Physics 2019-10-28 Roland Bauerschmidt , Tyler Helmuth , Andrew Swan

In this paper, we study the transient phase of the Vertex Reinforced Jump Process (VRJP) in dimension $d\geq 3$. In Sabot, Zeng (2019), the authors introduce a positive martingale and show that the VRJP is recurrent if and only if that…

Probability · Mathematics 2025-04-02 Quentin Berger , Alexandre Legrand , Rémy Poudevigne , Christophe Sabot

In this paper we continue the analysis, initiated in the paper *-VRJP I, of the *-Vertex Reinforced Jump Process (*-VRJP), which is a non reversible generalization of the Vertex Reinforced Jump Process (VRJP). More precisely, we give a…

Probability · Mathematics 2024-12-30 Christophe Sabot , Pierre Tarrès

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…

Probability · Mathematics 2025-08-25 Fernando P. A. Prado , Rafael A. Rosales

We prove polynomial decay of the mixing field of the Vertex Reinforced Jump Process (VRJP) on $\Bbb{Z}^2$ with bounded conductances. Using [17] we deduce that the VRJP on $\Bbb{Z}^2$ with any constant conductances is almost surely…

Probability · Mathematics 2019-07-19 Christophe Sabot

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

We consider a non-linear vertex-reinforced jump process (VRJP($w$)) on $\mathbb{Z}$ with an increasing measurable weight function $w:[1,\infty)\to [1,\infty)$ and initial weights equal to one. Our main goal is to study the asymptotic…

Probability · Mathematics 2022-08-19 Andrea Collevecchio , Tuan-Minh Nguyen , Stanislav Volkov

We introduce a new exponential family of probability distributions, which can be viewed as a multivariate generalization of the Inverse Gaussian distribution. Considered as the potential of a random Schr\"odinger operator, this exponential…

Probability · Mathematics 2016-01-25 Christophe Sabot , Pierre Tarrès , Xiaolin Zeng

We study the asymptotic behavior of ``true" self-avoiding random walks on general infinite locally finite trees. In this model, the walk starts at the root and, at each step, from its current vertex chooses a neighboring edge to traverse…

Probability · Mathematics 2026-05-04 Tuan-Minh Nguyen

We consider a continuous-time vertex reinforced jump process on a supercritical Galton-Watson tree. This process takes values in the set of vertices of the tree and jumps to a neighboring vertex with rate proportional to the local time at…

Probability · Mathematics 2012-09-25 Anne-Laure Basdevant , Arvind Singh

Consider a vertex-reinforced jump process defined on a regular tree, where each vertex has exactly $b$ children, with $b \ge 3$. We prove the strong law of large numbers and the central limit theorem for the distance of the process from the…

Probability · Mathematics 2009-07-29 Andrea Collevecchio

We study a continuous-time branching random walk on the lattice $\mathbb{Z}^{d}$, $d\in \mathbb{N}$, with a single source of branching, that is the lattice point where the birth and death of particles can occur. The random walk is assumed…

Probability · Mathematics 2020-01-23 Anastasiya Rytova , Elena Yarovaya

We consider a specific random graph which serves as a disordered medium for a particle performing biased random walk. Take a two-sided infinite horizontal ladder and pick a random spanning tree with a certain edge weight $c$ for the…

Probability · Mathematics 2023-04-19 Nina Gantert , Achim Klenke
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