English

Dynamic Space Filling

Probability 2026-01-23 v2 Disordered Systems and Neural Networks Statistical Mechanics

Abstract

Dynamic space filling (DSF) is a stochastic process defined on any connected graph. Each vertex can host an arbitrary number of particles forming a pile, with every arriving particle landing on the top of the pile. Particles in a pile, except for the particle at the bottom, can hop to neighboring vertices. Eligible particles hop independently and stochastically, with the overall hopping rate set to unity. When the number of vertices in a graph is equal to the total number of particles, the evolution stops when a single particle occupies every vertex. We determine the halting time distribution on complete graphs. Using the mapping of the DSF into a two-species annihilation process, we argue that on d d-dimensional tori with N1N\gg 1 vertices, the average halting time scales with the number of vertices as N4/dN^{4/d} when d4d\leq 4 and as NN when d>4d>4.

Cite

@article{arxiv.2506.01128,
  title  = {Dynamic Space Filling},
  author = {P. L. Krapivsky},
  journal= {arXiv preprint arXiv:2506.01128},
  year   = {2026}
}

Comments

12 pages, 1 figure. V2: Appendix and refs added

R2 v1 2026-07-01T02:53:23.622Z