Approaches to critical point theory via sequential and parametrized topological complexity
Stephan Mescher, Maximilian Stegemeyer

TL;DR
This paper explores how advanced topological invariants like sequential and parametrized topological complexity can provide new lower bounds on the number of critical points of functions, extending classical critical point theory.
Contribution
It establishes new connections between topological complexity variants and critical point theory, including bounds and computations for specific manifolds.
Findings
Lower bounds on critical points using sequential and parametrized TC
Application to unit tangent bundles of spheres
Computation of parametrized TC for specific manifolds
Abstract
The Lusternik-Schnirelmann category of a space was introduced to obtain a lower bound on the number of critical points of a -function on a given manifold. Related to Lusternik-Schnirelmann category and motivated by topological robotics, the topological complexity (TC) of a space is a numerical homotopy invariant whose topological properties are an active field of research. The notions of sequential and parametrized topological complexity extend the ideas of topological complexity. While the definition of TC is closely related to Lusternik-Schnirelmann category, the connections of sequential and parametrized TC to critical point theory have not been fully explored yet. In this article we apply methods from Lusternik-Schnirelmann theory to establish various lower bounds on numbers of critical points of functions in terms of sequential and parametrized TCs. We carry out several…
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
TopicsAdvanced Materials and Mechanics · Black Holes and Theoretical Physics · Advanced Differential Equations and Dynamical Systems
