Metric entropy and homoclinic growth rate
Gang Liao, Jing Wei
TL;DR
The paper quantifies chaos via a quantitative link between metric entropy and homoclinic growth, proving a log-type lower bound for hyperbolic measures and, when maximal entropy is present, an exp-type growth bound for transverse homoclinic points. It develops a unified framework combining Pesin theory, horseshoes, and symbolic dynamics to translate entropy into homoclinic complexity, and demonstrates that Newhouse-domain dynamics can exhibit super-exponential growth of homoclinic points under perturbations. These results extend Mendoza’s two-dimensional insights to higher dimensions and provide a foundation for Katok-type conjectures in non-uniformly hyperbolic settings.
Abstract
In this paper, we investigate the relationship between chaos and homoclinic orbits from a quantitative perspective. Let f be a C^r diffeomorphism (r > 1) on a compact Riemannian manifold preserving an ergodic hyperbolic measure. We show that the homoclinic growth rate is bounded below by the metric entropy. This result generalizes the work of Mendoza from surfaces to higher-dimensional systems from a measure-theoretic viewpoint. We also examine the sharpness of this estimate by demonstrating that, in the Newhouse domain, C^r-generic diffeomorphisms exhibit a superexponential growth in the number of homoclinic points.
