Evidence for Knot Localization in Very Long Self-Avoiding Polygons

Clayton Shonkwiler

Colorado State University

shonkwiler.org

/gs26

this talk!

AMS Special Session on Applications of Knot Theory

March 29, 2026

Joint Work With:

Jason Cantarella

University of Georgia

Funding

BIRS, Japan Science and Technology Agency (CREST JPMJCR19T4), National Science Foundation (DMS–2107700), Deutsche Forschungsgemeinschaft (320021702/GRK2326).

Tetsuo Deguchi

Ochanomizu University

Henrik Schumacher

RWTH Aachen University

Erica Uehara

Kyoto University

Take-Home Messages

  1. We can determine the exact knot types of random self-avoiding polygons (SAPs) with 100 million edges.
  2. Counts of prime summands in random SAPs fit well to Poisson distributions.

Knot Localization

Localization Hypothesis

In the asymptotic limit, knots of type \(K\) in SAPs are independent events with a characteristic size and a fixed probability of starting at every edge of the polygon.

Two Conjectures

Summand Count Conjecture [Kesten/Hammersley 1960s(?)]

Suppose \(K\) is a prime knot type and let

\(m_K^n := \text{number of prime summands of knot type \(K\) in an \(n\)-gon}.\)

For \(n \gg 1\), \(m_K^n\) is approximately Poisson-distributed:

\(P(m_K^n = m) \approx \frac{(\lambda_K(n))^m e^{-\lambda_K(n)}}{m!},\)

where \(\lambda_K(n)\) is the expected value of \(m_K^n\).

Knot Entropy Conjecture [Orlandini, Tesi, Janse van Rensburg, Whittington 1996]

For any knot type \(K\) and \(n \gg 1\),

\(P_{0_1}(n) \approx e^{-n/n_0} \quad \text{and} \quad P_K(n) \approx C_K n^{m(K)}e^{-n/n_0} \left(1 + \frac{\beta_K}{n^\Delta} + \frac{\gamma_K}{n}\right)\).

\(n_0\) is called the characteristic length of knotting.

Note: KEC has been proved for lattice polygons in tubes by Beaton et al. (2024).

SCC Implies KEC

\(P_{0_1}(n)\)

\(\approx \Pi_K P(m_K^n = 0)\)

\(= \Pi_{K} e^{-R_K(n) n}\)

\(= e^{-\left(\sum_K R_K(n)\right) n}\)

Let \(R_K(n) = \lambda_K(n)/n\) be the rate of knot production, so SCC says 

\(P(m_K^n = m) \approx \frac{(R_K(n)n)^m e^{-R_K(n)n}}{m!}.\)

Unknot Probability

\(= e^{-n/n_0}\)

with \(n_0 = \frac{1}{\sum_K R_K(n)}\)

Prime Knot Probability

Thank you!

shonkwiler.org/gs26

References

Random knotting in very long off-lattice self-avoiding polygons

Jason Cantarella, Tetsuo Deguchi, Henrik Schumacher, Clayton Shonkwiler, and Erica Uehara

arxiv:2601.04102 [cond-mat.stat-mech]

Hard unknots are often easy from a different perspective

Jason Cantarella, Henrik Schumacher, and Clayton Shonkwiler

In preparation

 

Evidence for Knot Localization in Very Long Self-Avoiding Polygons

By Clayton Shonkwiler

Evidence for Knot Localization in Very Long Self-Avoiding Polygons

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