
TL;DR
This paper extends a Legendrian knot distinguishing technique to transverse knots, demonstrating that the equivalence problem for certain transverse knots is algorithmically solvable, advancing knot theory classification methods.
Contribution
The paper introduces an extension of a Legendrian knot invariant technique to transverse knots and proves the algorithmic solvability of their equivalence problem under specific conditions.
Findings
Extension of Legendrian knot technique to transverse knots
Algorithmic solution for transverse knot equivalence with trivial symmetry group
Future work to remove the triviality condition
Abstract
In recent joint works of the present author with M.Prasolov and V.Shastin a new technique for distinguishing Legendrian knots has been developed. In this paper the technique is extended further to provide a tool for distinguishing transverse knots. It is shown that the equivalence problem for transverse knots with trivial orientation-preserving symmetry group is algorithmically solvable. In a future paper the triviality condition for the orientation-preserving symmetry group will be dropped.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
