English

Intensity -- A Metric Approach to Quantifying Attractor Robustness in ODEs

Dynamical Systems 2023-09-28 v1

Abstract

Although mathematical models do not fully match reality, robustness of dynamical objects to perturbation helps bridge from theoretical to real-world dynamical systems. Classical theories of structural stability and isolated invariant sets treat robustness of qualitative dynamics to sufficiently small errors. But they do not indicate just how large a perturbation can become before the qualitative behavior of our system changes fundamentally. Here we introduce a quantity, intensity of attraction, that measures the robustness of attractors in metric terms. Working in the setting of ordinary differential equations on Rn\mathbb{R}^n, we consider robustness to vector field perturbations that are time-dependent or -independent. We define intensity in a control-theoretic framework, based on the magnitude of control needed to steer trajectories out of a domain of attraction. Our main result is that intensity also quantifies the robustness of an attractor to time-independent vector field perturbations; we prove this by connecting the reachable sets of control theory to isolating blocks of Conley theory. In addition to treating classical questions of robustness in a new metric framework, intensity of attraction offers a novel tool for resilience quantification in ecological applications. Unlike many measurements of resilience, intensity detects the strength of transient dynamics in a domain of attraction.

Keywords

Cite

@article{arxiv.2012.10786,
  title  = {Intensity -- A Metric Approach to Quantifying Attractor Robustness in ODEs},
  author = {Katherine J. Meyer and Richard P. McGehee},
  journal= {arXiv preprint arXiv:2012.10786},
  year   = {2023}
}

Comments

22 pages, 7 figures

R2 v1 2026-06-23T21:06:08.303Z