Detecting Homoclinic Points in Nonlinear Discrete Dynamical Systems via Resurgent Analysis

We present a novel and completely deterministic method to model chaotic orbits in nonlinear discrete dynamics, taking the quadratic map as an example. This method is based on the resurgent analysis developed by Écalle to perform the resummation of divergent power series given by asymptotic expansions in linear differential equations with variable coefficients. To determine the long-term behavior of the dynamics, we calculate the zeros of a function representing the unstable manifold of the system using Newton’s method. The asymptotic expansion of the function is expressed as a kind of negative power series, which enables the computation with high accuracy. By use of the obtained zeros, we visualize the set of homoclinic points. This set corresponds to the Julia set in one-dimensional complex dynamical systems. The presented method is easily extendable to two-dimensional nonlinear dynamical systems such as Hénon maps.

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Publication Details

Journal
AppliedMath
Published
2025-09-16
DOI
https://doi.org/10.3390/appliedmath5030123
Primary Topic
Mathematical Dynamics and Fractals
Type
article
Field-Weighted Citation Impact
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article

Detecting Homoclinic Points in Nonlinear Discrete Dynamical Systems via Resurgent Analysis

Chihiro Matsuoka, Koichi Hiraide
AppliedMath
Mathematical Dynamics and Fractals
article

Detecting Homoclinic Points in Nonlinear Discrete Dynamical Systems via Resurgent Analysis

Chihiro Matsuoka, Koichi Hiraide
article en

Abstract

We present a novel and completely deterministic method to model chaotic orbits in nonlinear discrete dynamics, taking the quadratic map as an example. This method is based on the resurgent analysis developed by Écalle to perform the resummation of divergent power series given by asymptotic expansions in linear differential equations with variable coefficients. To determine the long-term behavior of the dynamics, we calculate the zeros of a function representing the unstable manifold of the system using Newton’s method. The asymptotic expansion of the function is expressed as a kind of negative power series, which enables the computation with high accuracy. By use of the obtained zeros, we visualize the set of homoclinic points. This set corresponds to the Julia set in one-dimensional complex dynamical systems. The presented method is easily extendable to two-dimensional nonlinear dynamical systems such as Hénon maps.

AppliedMathVol. 5(3)
Osaka Prefecture University (JP), Osaka City University (JP), National Institute for Fusion Science (JP)
Openalex Percentile: Top 69%
Mathematical Dynamics and Fractals
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