Abstract

We remind the method to calculate colored Jones polynomials for the plat representations of knot diagrams from the knowledge of modular transformation (monodromies) of Virasoro conformal blocks with insertions of degenerate fields. As an illustration we use a rich family of pretzel knots, lying on a surface of arbitrary genus g, which was recently analyzed by the evolution method. Further generalizations can be to generic Virasoro modular transformations, provided by integral kernels, which can lead to the Hikami invariants.

Highlights

  • Knot polynomials are Wilson loop averages in 3d Chern-Simons theory [1, 2], HRL(q, G) = Tr RP exp A L exp 2πi Tr Adj M AdA + 2 A3 3 (1)where A is the G-connection on a 3d manifold M, to which a line L belongs

  • In the present paper we describe the results of these calculations and explain the steps that lead to the proposed formula in the case of Jones polynomials

  • The pretzel knot on genus g surface is labeled by g + 1 integers n1, . . . , ng+1

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Summary

Introduction

Today there are two effective ways to calculate “ordinary” knot polynomials: by the Reshetikhin-Turaev (RT) group theory method [4, 5, 6, 7], using explicit quantum R-matrices in various representations of various groups (well-known skein relations are a simple particular case of this), and by Khovanov’s hypercube method [8] in the modified version of [9], applicable to algebra G = SU (N ) with arbitrary N Both approaches are partly related, first, via peculiar Kauffman’s R-matrix for N = 2 [10] and, more generally, in [11]. This is a interesting question because the pretzel knot family contains a vast set of mutant knots, which are undistinguishable at the level of (anti)symmetric representations, and, in particular, by any colored Jones polynomials

The basic ideas
Elementary examples of link diagrams in plat representation
One-bridge case
Two-bridge case
Three-bridge case
Genus g pretzel knots
Jones polynomials for the pretzel knots on genus g surface
The evolution method implies that the ni dependence is given by r
Conclusions
Full Text
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