Validated Computation of Heteroclinic Sets
Maciej J. Capinski, Jason D. Mireles James

TL;DR
This paper introduces a rigorous computational method for enclosures of heteroclinic sets in nonlinear maps, combining high-order Taylor approximations, interval Newton methods, and error control techniques.
Contribution
It develops a novel, validated approach for computing heteroclinic manifolds with rigorous error bounds using advanced numerical and interval analysis methods.
Findings
Successfully computes heteroclinic sets for a volume-preserving map in 3D.
Provides computer-assisted proofs of heteroclinic invariant sets.
Demonstrates the method's effectiveness in nonlinear dynamical systems.
Abstract
In this work we develop a method for computing mathematically rigorous enclosures of some one dimensional manifolds of heteroclinic orbits for nonlinear maps. Our method exploits a rigorous curve following argument build on high order Taylor approximation of the local stable/unstable manifolds. The curve following argument is a uniform interval Newton method applied on short line segments. The definition of the heteroclinic sets involve compositions of the map and we use a Lohner-type representation to overcome the accumulation of roundoff errors. Our argument requires precise control over the local unstable and stable manifolds so that we must first obtain validated a-posteriori error bounds on the truncation errors associated with the manifold approximations. We illustrate the utility of our method by proving some computer assisted theorems about heteroclinic invariant sets for a…
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.
