Patterns of the $V_2$-polynomial of knots
Stavros Garoufalidis, Shana Yunsheng Li
TL;DR
This work develops and studies the $V_n(t,q)$ invariants arising from rank-2 Nichols algebras, with $V_1=\mathrm{LG}$ and a genus bound $\deg_t V_{K,n}\le 4g(K)$. Through expansive computation up to 18 crossings, $V_2$ is shown to detect genus for all knots in the dataset ($58{,}021{,}794$ knots) and to behave predictively for the Kinoshita–Terasaka family; it also reveals numerous Conway mutant pairs that are $V_2$-equivalent, sometimes coinciding with other invariants. The study demonstrates that $V_2$ is not governed by the 2-loop Kontsevich invariant nor by any single homology theory, but exhibits concrete relations to $V_1$ via explicit linear formulas. Finally, a scalable tensor-network computation framework is developed, enabling efficient evaluation of $V_n$ and providing data and code to the community, thereby enabling broader verification and exploration of genus-detection and mutation phenomena in knot theory.
Abstract
Recently, Kashaev and the first author defined a sequence $V_n$ of 2-variable knot polynomials with integer coefficients, coming from the $R$-matrix of a rank 2 Nichols algebra, the first polynomial been identified with the Links--Gould polynomial. In this note we present the results of the computation of the $V_n$-polynomials for $n=1,2,3,4$. This leads to the discovery of emerging patterns, including the genus bound for $V_2$ being an equality for all 58 million knots with at most $18$ crossings, as well as unexpected Conway mutations that seem undetected by the $V_n$-polynomials as well as by Heegaard Floer Homology and Khovanov Homology.
