Generation of bounded invariants via stroboscopic set-valued maps: Application to the stability analysis of parametric time-periodic systems
Jawher Jerray, Laurent Fribourg

TL;DR
This paper introduces a method to generate bounded invariants for differential systems using stroboscopic set-valued maps, enabling stability analysis of parametric time-periodic systems, exemplified on Van der Pol's system.
Contribution
The paper presents a novel approach to construct bounded invariants as tubes around approximate solutions, applicable to parametric systems for stability analysis.
Findings
Invariant tubes are effectively constructed around approximate solutions.
The method guarantees solutions do not converge to equilibrium points.
Application to Van der Pol's system demonstrates practical utility.
Abstract
A method is given for generating a bounded invariant of a differential system with a given set of initial conditions around a point . This invariant has the form of a tube centered on the Euler approximate solution starting at , which has for radius an upper bound on the distance between the approximate solution and the exact ones. The method consists in finding a real such that the "snapshot" of the tube at time is included in the snapshot at , for some integer . In the phase space, the invariant is therefore in the shape of a torus. A simple additional condition is also given to ensure that the solutions of the system can never converge to a point of equilibrium. In dimension 2, this ensures that all solutions converge towards a limit cycle. The method is extended in case the dynamic system contains a parameter , thus allowing the stability…
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
TopicsQuantum chaos and dynamical systems · Control and Stability of Dynamical Systems · Numerical methods for differential equations
