Manifold diagrams and tame tangles
Christoph Dorn, Christopher L. Douglas

TL;DR
This paper introduces manifold diagrams and tame tangles as higher-dimensional diagrammatic tools, providing a combinatorial classification and exploring their stability and applications in modeling smooth manifolds.
Contribution
It formally defines manifold diagrams and tame tangles, classifies them combinatorially, and demonstrates their relevance to modeling smooth manifolds in higher dimensions.
Findings
Manifold diagrams and tame tangles admit a combinatorial classification.
Tame tangles are stable under perturbations, modeling differential singularities.
All smooth 4-manifolds can be represented as tame tangles.
Abstract
Diagrammatic notation has become a ubiquitous computational tool; early examples include Penrose's graphical notation for tensor calculus, Feynman's diagrams for perturbative quantum field theory, and Cvitanovic's birdtracks for Lie algebras. Category theory provides a robust framework in which to understand the nature of such diagrams, and Joyal and Street formalized this framework by introducing string diagrams, governed by the syntax of monoidal 1-categories. The notion of "manifold diagrams" generalizes string diagrams to higher dimensions, and can be interpreted in higher-categorical terms by a process of geometric dualization. The closely related notion of "tame tangles" describes a well-behaved class of embedded manifolds that can likewise be interpreted categorically. In this paper we formally introduce the notions of manifold diagrams and of tame tangles, and show that they…
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.
Taxonomy
TopicsBlack Holes and Theoretical Physics · Homotopy and Cohomology in Algebraic Topology · Algebraic structures and combinatorial models
