# A set-oriented path following method for the approximation of parameter dependent attractors

## TL;DR

This paper introduces a set-oriented path following technique for efficiently approximating parameter-dependent attractors in dynamical systems, demonstrated on shear flow models transitioning to turbulence.

## Contribution

It presents a novel method that tracks relative global attractors across parameters without repeated subdivision, improving computational efficiency.

## Key findings

- Successfully applied to shear flow models transitioning to turbulence
- Enables efficient tracking of attractors as parameters vary
- Reduces computational effort compared to traditional methods

## Abstract

In this work we present a set-oriented path following method for the computation of relative global attractors of parameter-dependent dynamical systems. We start with an initial approximation of the relative global attractor for a fixed parameter $\lambda_0$ computed by a set-oriented subdivision method. By using previously obtained approximations of the parameter-dependent relative global attractor we can track it with respect to a one-dimensional parameter $\lambda > \lambda_0$ without restarting the whole subdivision procedure. We illustrate the feasibility of the set-oriented path following method by exploring the dynamics in models for shear flows during the transition to turbulence.