Colored Jones Polynomials and the Volume Conjecture

Fuente: arXiv
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Autori principali: Hughes, Mark, Jejjala, Vishnu, Ramadevi, P., Roy, Pratik, Singh, Vivek Kumar
Natura: Preprint
Pubblicazione: 2025
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author Hughes, Mark
Jejjala, Vishnu
Ramadevi, P.
Roy, Pratik
Singh, Vivek Kumar
author_facet Hughes, Mark
Jejjala, Vishnu
Ramadevi, P.
Roy, Pratik
Singh, Vivek Kumar
contents Using the vertex model approach for braid representations, we compute polynomials for spin-1 placed on hyperbolic knots up to 15 crossings. These polynomials are referred to as 3-colored Jones polynomials or adjoint Jones polynomials. Training a subset of the data using a fully connected feedforward neural network, we predict the volume of the knot complement of hyperbolic knots from the adjoint Jones polynomial or its evaluations with 99.34% accuracy. A function of the adjoint Jones polynomial evaluated at the phase $q=e^{ 8 πi / 15 }$ predicts the volume with nearly the same accuracy as the neural network. From an analysis of 2-colored and 3-colored Jones polynomials, we conjecture the best phase for $n$-colored Jones polynomials, and use this hypothesis to motivate an improved statement of the volume conjecture. This is tested for knots for which closed form expressions for the $n$-colored Jones polynomial are known, and we show improved convergence to the volume.
format Preprint
id arxiv_https___arxiv_org_abs_2502_18575
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Colored Jones Polynomials and the Volume Conjecture
Hughes, Mark
Jejjala, Vishnu
Ramadevi, P.
Roy, Pratik
Singh, Vivek Kumar
Geometric Topology
Machine Learning
High Energy Physics - Theory
Using the vertex model approach for braid representations, we compute polynomials for spin-1 placed on hyperbolic knots up to 15 crossings. These polynomials are referred to as 3-colored Jones polynomials or adjoint Jones polynomials. Training a subset of the data using a fully connected feedforward neural network, we predict the volume of the knot complement of hyperbolic knots from the adjoint Jones polynomial or its evaluations with 99.34% accuracy. A function of the adjoint Jones polynomial evaluated at the phase $q=e^{ 8 πi / 15 }$ predicts the volume with nearly the same accuracy as the neural network. From an analysis of 2-colored and 3-colored Jones polynomials, we conjecture the best phase for $n$-colored Jones polynomials, and use this hypothesis to motivate an improved statement of the volume conjecture. This is tested for knots for which closed form expressions for the $n$-colored Jones polynomial are known, and we show improved convergence to the volume.
title Colored Jones Polynomials and the Volume Conjecture
topic Geometric Topology
Machine Learning
High Energy Physics - Theory
url https://arxiv.org/abs/2502.18575