Direct Sampling of Confined Polygons in Linear Time
Geometric Topology
2026-05-19 v3 Statistical Mechanics
Computational Geometry
Symplectic Geometry
Abstract
We present an algorithm for sampling tightly confined random equilateral closed polygons in three-space which has runtime linear in the number of edges. Using symplectic geometry, sampling such polygons reduces to sampling a moment polytope, and in our confinement model this polytope turns out to be very natural from a combinatorial point of view. This connection to combinatorics yields both our fast sampling algorithm and explicit formulas for the expected distances of vertices to the origin. We use our algorithm to investigate the expected total curvature of confined polygons, leading to a very precise conjecture for the asymptotics of total curvature.
Cite
@article{arxiv.2501.04885,
title = {Direct Sampling of Confined Polygons in Linear Time},
author = {Clayton Shonkwiler and Kandin Theis},
journal= {arXiv preprint arXiv:2501.04885},
year = {2026}
}
Comments
Improved exposition. 35 pages, 10 figures