scholarly journals Examples of Interacting Particle Systems on $$\mathbb {Z}$$ as Pfaffian Point Processes: Coalescing–Branching Random Walks and Annihilating Random Walks with Immigration

2019 ◽  
Vol 21 (3) ◽  
pp. 885-908
Author(s):  
Barnaby Garrod ◽  
Roger Tribe ◽  
Oleg Zaboronski

AbstractTwo classes of interacting particle systems on $$\mathbb {Z}$$Z are shown to be Pfaffian point processes, at any fixed time and for all deterministic initial conditions. The first comprises coalescing and branching random walks, the second annihilating random walks with pairwise immigration. Various limiting Pfaffian point processes on $$\mathbb {R}$$R are found by diffusive rescaling, including the point set process for the Brownian web and Brownian net.

2020 ◽  
Vol 57 (3) ◽  
pp. 866-898
Author(s):  
Y. X. Mu ◽  
Y. Zhang

AbstractWe consider the threshold-one contact process, the threshold-one voter model and the threshold-one voter model with positive spontaneous death on homogeneous trees $\mathbb{T}_d$ , $d\ge 2$ . Mainly inspired by the corresponding arguments for the contact process, we prove that the complete convergence theorem holds for these three systems under strong survival. When the system survives weakly, complete convergence may also hold under certain transition and/or initial conditions.


2021 ◽  
Vol 183 (3) ◽  
Author(s):  
Mario Ayala ◽  
Gioia Carinci ◽  
Frank Redig

AbstractWe study the symmetric inclusion process (SIP) in the condensation regime. We obtain an explicit scaling for the variance of the density field in this regime, when initially started from a homogeneous product measure. This provides relevant new information on the coarsening dynamics of condensing interacting particle systems on the infinite lattice. We obtain our result by proving convergence to sticky Brownian motion for the difference of positions of two SIP particles in the sense of Mosco convergence of Dirichlet forms. Our approach implies the convergence of the probabilities of two SIP particles to be together at time t. This, combined with self-duality, allows us to obtain the explicit scaling for the variance of the fluctuation field.


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