Estimates on the domain of validity for Lyapunov-Schmidt reduction
Pranav Gupta, Anastasia Bizyaeva, Ravi Banavar

TL;DR
This paper provides estimates for the domain where Lyapunov-Schmidt reduction accurately captures the behavior of high-dimensional nonlinear systems near singular points, using bounds from the Implicit Function Theorem.
Contribution
It introduces a method to quantify the validity region of Lyapunov-Schmidt reduction based on new bounds from the Implicit Function Theorem.
Findings
Derived explicit estimates for the reduction's validity domain.
Applied estimates to a 2D system with a pitchfork bifurcation.
Demonstrated the practical use of bounds in bifurcation analysis.
Abstract
Lyapunov-Schmidt reduction is a dimensionality reduction technique in nonlinear systems analysis that is commonly utilised in the study of bifurcation problems in high-dimensional systems. The method is a systematic procedure for reducing the dimensionality of systems of algebraic equations that have singular points, preserving essential features of their solution sets. In this article, we establish estimates for the region of validity of the reduction by leveraging recently derived bounds on the Implicit Function Theorem. We then apply these bounds to an illustrative example of a two-dimensional system with a pitchfork bifurcation.
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
TopicsControl Systems and Identification · Stability and Control of Uncertain Systems · Advanced Control Systems Optimization
