The *-Vertex-Reinforced Jump Process
Christophe Sabot, Pierre Tarr\`es

TL;DR
This paper explores a non-reversible generalization of the Vertex-Reinforced Jump Process, introducing new representations and phenomena, including a mixture of Markov processes and a connection to a random Schrödinger operator.
Contribution
It introduces the *-VRJP, a non-reversible extension of VRJP, and provides novel representations involving mixtures of Markov processes and a random Schrödinger operator.
Findings
Partial exchangeability after randomization of initial local time
Representation of *-VRJP as a mixture of Yaglom reversible Markov processes
Connection between *-VRJP and a random Schrödinger operator
Abstract
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 continuous-time counterpart to the *-Edge-Reinforced Random Walk (*-ERRW), see Bacallado (2011) and Bacallado, Sabot and Tarr\`es (2020), which is itself a non-reversible, and in fact Yaglom reversible, generalization of the original ERRW introduced by Coppersmith and Diaconis (1986). In contrast to the classical VRJP, the *-VRJP is not exchangeable after time-change, which leads to several difficulties and new phenomena. Firstly, we show that with some appropriate randomization of the initial local time, it becomes partially exchangeable after time-change. We provide a representation of the "randomized" *-VRJP as a mixture of Yaglom reversible Markov jump…
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Diffusion and Search Dynamics
