A coupled two-species model for the pair contact process with diffusion
Shengfeng Deng (Central China Normal University / Virginia Tech), Wei, Li (Central China Normal University), and Uwe C. T\"auber (Virginia Tech)

TL;DR
This paper introduces a two-species coupled model to better understand the critical behavior of the pair contact process with diffusion, resolving previous conceptual difficulties and matching known scaling properties.
Contribution
The paper presents a novel two-species model that captures the key features of PCPD and clarifies its scaling behavior and universality class.
Findings
Model reproduces PCPD critical exponents in one dimension.
A species extinction leads to pure pair annihilation dynamics.
The model exhibits the same crossover behavior as PCPD.
Abstract
The contact process with diffusion (PCPD) defined by the binary reactions 2 B -> 3 B, 2 B -> 0 and diffusive particle spreading exhibits an unusual active to absorbing phase transition whose universality class has long been disputed. Multiple studies have indicated that an explicit account of particle pair degrees of freedom may be required to properly capture this system's effective long-time, large-scale behavior. We introduce a two-species representation in which single particles B and pairs A are coupled according to the stochastic reactions B + B -> A, A -> A + B, A -> 0, and A -> B + B. Mean-field analysis reveals that the phase transition is driven by competition and balance between both species. We employ Monte Carlo simulations to demonstrate that this model captures the pertinent PCPD features. In the inactive phase, A particles rapidly go extinct, leaving the B species to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdhesion, Friction, and Surface Interactions · Brake Systems and Friction Analysis · Gear and Bearing Dynamics Analysis
