Asymptotic shape of the region visited by an Eulerian Walker
Rajeev Kapri, Deepak Dhar

TL;DR
This study investigates the asymptotic shape of the region visited by an Eulerian walker on a lattice, revealing a circular shape with radius scaling as N^{1/3} and boundary width growth, with stochasticity inducing a crossover to random walk behavior.
Contribution
The paper provides the first detailed analysis of the asymptotic shape and scaling behavior of Eulerian walkers, including effects of stochasticity on their displacement.
Findings
Visited region approaches a perfect circle for large N.
Radius of the visited region scales as N^{1/3}.
Stochasticity causes a crossover from Eulerian to random walk behavior.
Abstract
We study an Eulerian walker on a square lattice, starting from an initially randomly oriented background using Monte Carlo simulations. We present evidence that, that, for large number of steps , the asymptotic shape of the set of sites visited by the walker is a perfect circle. The radius of the circle increases as , for large , and the width of the boundary region grows as , with . If we introduce stochasticity in the evolution rules, the mean square displacement of the walker, , shows a crossover from the Eulerian () to a simple random walk () behaviour.
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.
