Generalized Dehn twists in low-dimensional topology
Yusuke Kuno, Gwenael Massuyeau, Shunsuke Tsuji

TL;DR
This paper explores the algebraic and geometric properties of generalized Dehn twists in low-dimensional topology, including their realizability, diagrammatic descriptions, and relations to 3D cobordisms and skein algebras.
Contribution
It provides a comprehensive review of generalized Dehn twists, their algebraic definitions, realizability as surface diffeomorphisms, and their applications in 3D topology and skein algebra variants.
Findings
Generalized Dehn twists can be described via decorated trees and Hopf algebras.
They are realizable as diffeomorphisms in certain cases.
Connections to 3D homology cobordisms and skein algebra variants are established.
Abstract
The generalized Dehn twist along a closed curve in an oriented surface is an algebraic construction which involves intersections of loops in the surface. It is defined as an automorphism of the Malcev completion of the fundamental group of the surface. As the name suggests, for the case where the curve has no self-intersection, it is induced from the usual Dehn twist along the curve. In this expository article, after explaining their definition, we review several results about generalized Dehn twists such as their realizability as diffeomorphisms of the surface, their diagrammatic description in terms of decorated trees and the Hopf-algebraic framework underlying their construction. Going to the dimension three, we also overview the relation between generalized Dehn twists and -dimensional homology cobordisms, and we survey the variants of generalized Dehn twists for skein algebras…
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
TopicsGeometric and Algebraic Topology · Topological and Geometric Data Analysis · Mathematical Dynamics and Fractals
