The Annals of Applied Probability

The symplectic geometry of closed equilateral random walks in 3-space

Jason Cantarella and Clayton Shonkwiler

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Abstract

A closed equilateral random walk in 3-space is a selection of unit length vectors giving the steps of the walk conditioned on the assumption that the sum of the vectors is zero. The sample space of such walks with $n$ edges is the $(2n-3)$-dimensional Riemannian manifold of equilateral closed polygons in $\mathbb{R}^{3}$. We study closed random walks using the symplectic geometry of the $(2n-6)$-dimensional quotient of the manifold of polygons by the action of the rotation group $\operatorname{SO}(3)$.

The basic objects of study are the moment maps on equilateral random polygon space given by the lengths of any $(n-3)$-tuple of nonintersecting diagonals. The Atiyah–Guillemin–Sternberg theorem shows that the image of such a moment map is a convex polytope in $(n-3)$-dimensional space, while the Duistermaat–Heckman theorem shows that the pushforward measure on this polytope is Lebesgue measure on $\mathbb{R}^{n-3}$. Together, these theorems allow us to define a measure-preserving set of “action-angle” coordinates on the space of closed equilateral polygons. The new coordinate system allows us to make explicit computations of exact expectations for total curvature and for some chord lengths of closed (and confined) equilateral random walks, to give statistical criteria for sampling algorithms on the space of polygons and to prove that the probability that a randomly chosen equilateral hexagon is unknotted is at least $\frac{1}{2}$.

We then use our methods to construct a new Markov chain sampling algorithm for equilateral closed polygons, with a simple modification to sample (rooted) confined equilateral closed polygons. We prove rigorously that our algorithm converges geometrically to the standard measure on the space of closed random walks, give a theory of error estimators for Markov chain Monte Carlo integration using our method and analyze the performance of our method. Our methods also apply to open random walks in certain types of confinement, and in general to walks with arbitrary (fixed) edgelengths as well as equilateral walks.

Article information

Source
Ann. Appl. Probab., Volume 26, Number 1 (2016), 549-596.

Dates
Received: October 2013
Revised: January 2015
First available in Project Euclid: 5 January 2016

Permanent link to this document
https://projecteuclid.org/euclid.aoap/1452003247

Digital Object Identifier
doi:10.1214/15-AAP1100

Mathematical Reviews number (MathSciNet)
MR3449326

Zentralblatt MATH identifier
06554528

Subjects
Primary: 53D30: Symplectic structures of moduli spaces
Secondary: 60G50: Sums of independent random variables; random walks

Keywords
Closed random walk statistics on Riemannian manifolds Duistermaat–Heckman theorem random knot random polygon crankshaft algorithm

Citation

Cantarella, Jason; Shonkwiler, Clayton. The symplectic geometry of closed equilateral random walks in 3-space. Ann. Appl. Probab. 26 (2016), no. 1, 549--596. doi:10.1214/15-AAP1100. https://projecteuclid.org/euclid.aoap/1452003247


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