Matrix Characterization of Knots: A Simple Statistical Mechanics Application
Robert Kariotis

TL;DR
This paper introduces a formalism that treats knots as geometric spaces and applies statistical mechanics techniques, utilizing contour geometry and permutation operators to analyze knot symmetry.
Contribution
It presents a novel geometric and statistical mechanics framework for analyzing knots, overcoming visual symmetry limitations with contour-based permutation operators.
Findings
Contour geometry improves analytical treatment of knots
Permutation operators effectively capture knot symmetries
New formalism offers insights into knot structure
Abstract
In this note, I describe a formalism for treating knots as geometric spaces, and make an application to a simple statistical mechanics computation. The motivation for this study is the natural visual symmetry of the knot, and I describe how this might be carried out. The direct approach, however, fails due to limits of the visual symmetry, but by recasting the problem in terms of the geometry of contours of the knot, the resulting permutation operators provide a better analytical tool.
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Taxonomy
TopicsMathematics and Applications · Geometric and Algebraic Topology · Homotopy and Cohomology in Algebraic Topology
