Knot Tightening By Constrained Gradient Descent
Ted Ashton, Jason Cantarella, Michael Piatek, Eric Rawdon

TL;DR
This paper introduces a novel constrained gradient descent method to compute approximately length-minimizing polygons with fixed thickness, modeling tight knotted tubes and improving existing ropelength measurements for various knots and links.
Contribution
The authors develop a new constrained gradient descent approach for ropelength minimization, providing explicit generators for the cone of variations and criticality criteria, along with extensive numerical results.
Findings
Computed 379 almost-critical prime knots and links.
First published ropelength figures for certain links.
Discovered highly symmetric tight knots with simple contact maps.
Abstract
We present new computations of approximately length-minimizing polygons with fixed thickness. These curves model the centerlines of "tight" knotted tubes with minimal length and fixed circular cross-section. Our curves approximately minimize the ropelength (or quotient of length and thickness) for polygons in their knot types. While previous authors have minimized ropelength for polygons using simulated annealing, the new idea in our code is to minimize length over the set of polygons of thickness at least one using a version of constrained gradient descent. We rewrite the problem in terms of minimizing the length of the polygon subject to an infinite family of differentiable constraint functions. We prove that the polyhedral cone of variations of a polygon of thickness one which do not decrease thickness to first order is finitely generated, and give an explicit set of generators.…
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Taxonomy
TopicsGeometric and Algebraic Topology · Advanced Materials and Mechanics · Adhesion, Friction, and Surface Interactions
