Kneadings, Symbolic Dynamics and Painting Lorenz Chaos. A Tutorial
Roberto Barrio, Andrey Shilnikov, Leonid Shilnikov

TL;DR
This paper introduces a new computational method using kneading invariants for analyzing chaos in Lorenz systems, revealing complex structures and organizing centers across various physical models.
Contribution
It proposes and verifies a symbolic technique based on kneading invariants for exploring chaos and bifurcations in Lorenz attractors across different scientific fields.
Findings
Uncovered complex bi-parametric structures in Lorenz systems.
Detected organizing centers like T-points and saddles.
Validated the method on models from hydrodynamics, mathematics, and optics.
Abstract
A new computational technique based on the symbolic description utilizing kneading invariants is proposed and verified for explorations of dynamical and parametric chaos in a few exemplary systems with the Lorenz attractor. The technique allows for uncovering the stunning complexity and universality of bi-parametric structures and detect their organizing centers - codimension-two T-points and separating saddles in the kneading-based scans of the iconic Lorenz equation from hydrodynamics, a normal model from mathematics, and a laser model from nonlinear optics.
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