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Published online on October 2, 2007, 10.1073/pnas.0611320104
PNAS | October 16, 2007 | vol. 104 | no. 42 | 16432-16437


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PHYSICAL SCIENCES / PHYSICS
Spontaneous knotting of an agitated string

Dorian M. Raymer* and Douglas E. Smith*

Department of Physics, University of California at San Diego, 9500 Gilman Drive, Mail Code 0379, La Jolla, CA 92093

Edited by Leo P. Kadanoff, University of Chicago, Chicago, IL, and approved July 30, 2007 (received for review December 21, 2006)

It is well known that a jostled string tends to become knotted; yet the factors governing the "spontaneous" formation of various knots are unclear. We performed experiments in which a string was tumbled inside a box and found that complex knots often form within seconds. We used mathematical knot theory to analyze the knots. Above a critical string length, the probability P of knotting at first increased sharply with length but then saturated below 100%. This behavior differs from that of mathematical self-avoiding random walks, where P has been proven to approach 100%. Finite agitation time and jamming of the string due to its stiffness result in lower probability, but P approaches 100% with long, flexible strings. We analyzed the knots by calculating their Jones polynomials via computer analysis of digital photos of the string. Remarkably, almost all were identified as prime knots: 120 different types, having minimum crossing numbers up to 11, were observed in 3,415 trials. All prime knots with up to seven crossings were observed. The relative probability of forming a knot decreased exponentially with minimum crossing number and Möbius energy, mathematical measures of knot complexity. Based on the observation that long, stiff strings tend to form a coiled structure when confined, we propose a simple model to describe the knot formation based on random "braid moves" of the string end. Our model can qualitatively account for the observed distribution of knots and dependence on agitation time and string length.

Jones polynomial | knot energy | knot theory | random walk | statistical physics


Author contributions: D.M.R. and D.E.S. designed research, performed research, analyzed data, and wrote the paper.

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

This article contains supporting information online at www.pnas.org/cgi/content/full/0611320104/DC1.

{dagger} Livingston, C., Cha, J. C., Table of Knot Invariants (Indiana University; www.indiana.edu/~knotinfo). Accessed December 2006.

{ddagger} In a small fraction of cases, the Jones polynomial alone did not determine the knot. In 6 cases the knot was distinguished by visual inspection, in 19 cases it was distinguished by calculating the Alexander polynomial, and in 7 cases it was distinguished by calculating the HOMFLY polynomial (3).

§ These calculations were done by using computer code in Bar-Natan, D., Morrison, S., et al., The Mathematica Package KnotTheory (University of Toronto; http://katlas.math.toronto.edu). Accessed July 2007.

*To whom correspondence may be addressed. E-mail: draymer{at}physics.ucsd.edu or des{at}physics.ucsd.edu

© 2007 by The National Academy of Sciences of the USA


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Related Commentary in PNAS:

The tangled web of self-tying knots
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PNAS 2007 104: 17243-17244. [Extract] [Full Text]  



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