Unknotting problem

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Unsolved problem in mathematics
Can unknots be recognized in polynomial time?
Two simple diagrams of the unknot Unknots.svg
Two simple diagrams of the unknot
A tricky unknot diagram by Morwen Thistlethwaite Thistlethwaite unknot.svg
A tricky unknot diagram by Morwen Thistlethwaite

In mathematics, the unknotting problem is the problem of algorithmically recognizing the unknot, given some representation of a knot, e.g., a knot diagram. There are several types of unknotting algorithms. A major unresolved challenge is to determine if the problem admits a polynomial time algorithm; that is, whether the problem lies in the complexity class P.

Contents

Computational complexity

First steps toward determining the computational complexity were undertaken in proving that the problem is in larger complexity classes, which contain the class P. By using normal surfaces to describe the Seifert surfaces of a given knot, Hass, Lagarias & Pippenger (1999) showed that the unknotting problem is in the complexity class NP. Hara, Tani & Yamamoto (2005) claimed the weaker result that unknotting is in AM  co-AM; however, later they retracted this claim. [1] In 2011, Greg Kuperberg proved that (assuming the generalized Riemann hypothesis) the unknotting problem is in co-NP, [2] and in 2016, Marc Lackenby provided an unconditional proof of co-NP membership. [3]

In 2021, Lackenby announced an unknot recognition algorithm which he claimed ran in quasi-polynomial time. [4] As of October 2025, the result has not been published in the peer-reviewed literature.

The unknotting problem has the same computational complexity as testing whether an embedding of an undirected graph in Euclidean space is linkless. [5]

Unknotting algorithms

Several algorithms solving the unknotting problem are based on Haken's theory of normal surfaces:

Other approaches include:

Understanding the complexity of these algorithms is an active field of study.

See also

Notes

  1. Mentioned as a "personal communication" in reference [15] of Kuperberg (2014).
  2. Kuperberg (2014)
  3. Lackenby (2021)
  4. "Marc Lackenby announces a new unknot recognition algorithm that runs in quasi-polynomial time". Mathematical Institute of the University of Oxford. Retrieved 21 May 2024.
  5. Kawarabayashi, Kreutzer & Mohar (2010).
  6. Lackenby (2015).
  7. Mijatović (2005).
  8. Burton (2011b).
  9. Dynnikov (2006).
  10. Kronheimer & Mrowka (2011)

References