Interacting Particle Systems in Time-Dependent Geometries
Adnan Ali, Robin C. Ball, Stefan Grosskinsky, Ellak Somfai

TL;DR
This paper develops an exact mapping technique for analyzing interacting particle systems in time-dependent geometries, enabling precise study of their asymptotic behavior and interactions in expanding or contracting domains.
Contribution
It introduces a non-linear time transformation mapping time-dependent geometries to fixed domains, applicable to self-affine models with or without memory, supported by exact computations.
Findings
Exact mapping preserves scale invariance in expanding/contracting domains.
The approach applies to models with memory and explicit time dependence.
Numerical examples include Lévy processes and fractional Brownian motion.
Abstract
Many complex structures and stochastic patterns emerge from simple kinetic rules and local interactions, and are governed by scale invariance properties in combination with effects of the global geometry. We consider systems that can be described effectively by space-time trajectories of interacting particles, such as domain boundaries in two-dimensional growth or river networks. We study trajectories embedded in time-dependent geometries, and the main focus is on uniformly expanding or decreasing domains for which we obtain an exact mapping to simple fixed domain systems while preserving the local scale invariance properties. This approach was recently introduced in [A. Ali et al., Phys. Rev. E 87, 020102(R) (2013)] and here we provide a detailed discussion on its applicability for self-affince Markovian models, and how it can be adapted to self-affine models with memory or explicit…
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.
