Computing the Invariant Circle and the Foliation by Stable Manifolds for a 2-D Map by the Parameterization Method: Numerical Implementation and Results

10/29/2021
by   Yian Yao, et al.
0

We present and implement an algorithm for computing the invariant circle and the corresponding stable manifolds for 2-dimensional maps. The algorithm is based on the parameterization method, and it is backed up by an a-posteriori theorem established in [YdlL21]. The algorithm works irrespective of whether the internal dynamics in the invariant circle is a rotation or it is phase-locked. The algorithm converges quadratically and the number of operations and memory requirements for each step of the iteration is linear with respect to the size of the discretization. We also report on the result of running the implementation in some standard models to uncover new phenomena. In particular, we explored a bundle merging scenario in which the invariant circle loses hyperbolicity because the angle between the stable directions and the tangent becomes zero even if the rates of contraction are separated. We also discuss and implement a generalization of the algorithm to 3 dimensions, and implement it on the 3-dimensional Fattened Arnold Family (3D-FAF) map with non-resonant eigenvalues and present numerical results.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/05/2022

Numerical dynamics of integrodifference equations: Hierarchies of invariant bundles in L^p(Ω)

We study how the "full hierarchy" of invariant manifolds for nonautonomo...
research
11/15/2018

Stable discretizations of elastic flow in Riemannian manifolds

The elastic flow, which is the L^2-gradient flow of the elastic energy, ...
research
09/05/2022

Numerical dynamics of integrodifference equations: Periodic solutions and invariant manifolds in C^α(Ω)

Integrodifference equations are versatile models in theoretical ecology ...
research
10/01/2019

Unconditionally energy stable DG schemes for the Swift-Hohenberg equation

The Swift-Hohenberg equation as a central nonlinear model in modern phys...
research
03/23/2021

A geometric characterization of unstable blow-up solutions with computer-assisted proof

In this paper, blow-up solutions of autonomous ordinary differential equ...
research
03/09/2023

Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation

To achieve near-zero training error in a classification problem, the lay...
research
03/04/2022

A posteriori validation of generalized polynomial chaos expansions

Generalized polynomial chaos expansions are a powerful tool to study dif...

Please sign up or login with your details

Forgot password? Click here to reset