Slow divergence integral in regularized piecewise smooth systems
Renato Huzak (1), Kristian Uldall Kristiansen (2), Goran Radunovi\'c (3) ((1) Hasselt University, (2) Technical University of Denmark, (3) University of Zagreb)

TL;DR
This paper introduces the concept of slow divergence integral along sliding segments in regularized piecewise smooth systems, demonstrating its invariance and applying it to analyze limit cycles in a specific two-fold model.
Contribution
It generalizes the slow divergence integral to regularized systems with tangency points and shows its invariance under smooth transformations, with applications to limit cycle analysis.
Findings
Invariant slow divergence integral along sliding segments.
Connection between Minkowski dimension and sliding limit cycles.
Application to a model with visible-invisible two-folds.
Abstract
In this paper we define the notion of slow divergence integral along sliding segments in regularized planar piecewise smooth systems. The boundary of such segments may contain diverse tangency points. We show that the slow divergence integral is invariant under smooth equivalences. This is a natural generalization of the notion of slow divergence integral along normally hyperbolic portions of curve of singularities in smooth planar slow-fast systems. We give an interesting application of the integral in a model with visible-invisible two-fold of type . It is related to a connection between so-called Minkowski dimension of bounded and monotone "entry-exit" sequences and the number of sliding limit cycles produced by so-called canard cycles.
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 Differential Equations and Dynamical Systems · Mathematical Dynamics and Fractals · Quantum chaos and dynamical systems
