The Computational Complexity of Knot Genus and Spanning Area
Ian Agol, Joel Hass, William P. Thurston

TL;DR
This paper proves that determining the genus of a knot and whether a curve bounds a surface of small area are computationally hard problems, specifically NP-complete or NP-hard, in 3-dimensional topology.
Contribution
It establishes the NP-completeness of the knot genus problem and NP-hardness of the minimal surface area problem in 3-manifolds, highlighting their computational difficulty.
Findings
Knot genus determination is NP-complete.
Deciding small-area bounding surfaces is NP-hard.
Results connect 3D topology problems with computational complexity theory.
Abstract
We investigate the computational complexity of some problems in three-dimensional topology and geometry. We show that the problem of determining a bound on the genus of a knot in a 3-manifold, is NP-complete. Using similar ideas, we show that deciding whether a curve in a metrized PL 3-manifold bounds a surface of area less than a given constant C is NP-hard.
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Taxonomy
TopicsGeometric and Algebraic Topology · Computational Geometry and Mesh Generation · Topological and Geometric Data Analysis
