English

Detecting unknots via equational reasoning, I: Exploration

Logic in Computer Science 2014-05-19 v1 Discrete Mathematics Geometric Topology

Abstract

We explore the application of automated reasoning techniques to unknot detection, a classical problem of computational topology. We adopt a two-pronged experimental approach, using a theorem prover to try to establish a positive result (i.e. that a knot is the unknot), whilst simultaneously using a model finder to try to establish a negative result (i.e. that the knot is not the unknot). The theorem proving approach utilises equational reasoning, whilst the model finder searches for a minimal size counter-model. We present and compare experimental data using the involutary quandle of the knot, as well as comparing with alternative approaches, highlighting instances of interest. Furthermore, we present theoretical connections of the minimal countermodels obtained with existing knot invariants, for all prime knots of up to 10 crossings: this may be useful for developing advanced search strategies.

Keywords

Cite

@article{arxiv.1405.4211,
  title  = {Detecting unknots via equational reasoning, I: Exploration},
  author = {Andrew Fish and Alexei Lisitsa},
  journal= {arXiv preprint arXiv:1405.4211},
  year   = {2014}
}

Comments

To appear in Proceedings of CICM 2014

R2 v1 2026-06-22T04:16:10.610Z