$A+ A \to \emptyset$ system in one dimension with particle motion determined by nearest neighbour distances: results for parallel updates
Reshmi Roy, Parongama Sen, Purusattam Ray

TL;DR
This study investigates a one-dimensional $A+A o ext{empty}$ system with particles moving based on nearest neighbor positions, revealing how different directional biases and update schemes affect particle density decay, persistence, and tagged particle dynamics.
Contribution
It introduces a model with probabilistic nearest neighbor-driven motion and parallel updates, analyzing its macroscopic and microscopic dynamics, including density decay, persistence, and tagged particle behavior, highlighting differences from diffusive cases.
Findings
Density decay deviates from power law for $$, with a scaling regime for $.5$.
Presence of dimers at $.5$ that never annihilate.
Persistence probability exhibits stretched exponential decay for $$, power law for $.5$.
Abstract
A one dimensional system where the direction of motion of the particles is determined by the position of the nearest neighours is studied. The particles move with a probability towards their nearest neighbours with . This implies a stochastic motion towards the nearest neighbour or away from it for positive and negative values of respectively, with the two deterministic limits. The position of the particles are updated in parallel. The macroscopic as well as tagged particle dynamics are studied which show drastic changes from the diffusive case . The decay of particle density shows departure from the usual power law behaviour as found in , on both sides of and a scaling regime is obtained for . The point is characterized by the presence of dimers,…
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.
