Symmetric Discrete Dynamical System First Described: 1992

Symmetric 3D Attractor

Discovered by Michael Field & Martin Golubitsky

Executive Summary

High-order spatial symmetry groups fused with chaotic dynamics, creating crystalline mandala-like fractal forms.

System of Equations

Phase Space Formulation
xn+1=λ1xn+λ2yn+Px(xn,yn,zn)x_{n+1} = \lambda_1 x_n + \lambda_2 y_n + \mathcal{P}_x(x_n, y_n, z_n)
yn+1=λ3yn+λ4zn+Py(xn,yn,zn)y_{n+1} = \lambda_3 y_n + \lambda_4 z_n + \mathcal{P}_y(x_n, y_n, z_n)
zn+1=Pz(xn,yn,zn)z_{n+1} = \mathcal{P}_z(x_n, y_n, z_n)

Governing Parameters

λ1,λ2,λ3,λ4\lambda_1, \lambda_2, \lambda_3, \lambda_4
Symmetry Coupling Parameters = Varies

Equivariant mapping coefficients preserving discrete point-group symmetries.

Overview

In their classic 1992 treatise Symmetry in Chaos, mathematicians Michael Field and Martin Golubitsky discovered a surprising bridge between two seemingly opposite realms of mathematics: symmetry (rigid, balanced order) and chaos (turbulent, unpredictable disorder).

By constructing dynamical systems that are equivariant with respect to a discrete symmetry group (such as dihedral groups DnD_n, tetrahedral, or octahedral symmetry), the chaotic trajectories wander unpredictably on a local scale while collectively painting a global pattern of perfect geometric symmetry.

Mathematical Formulation

An iterated map F:R3R3F: \mathbb{R}^3 \to \mathbb{R}^3 is said to be equivariant with respect to a symmetry group Γ\Gamma if:

F(γv)=γF(v)γΓF(\gamma \cdot \vec{v}) = \gamma \cdot F(\vec{v}) \quad \forall \gamma \in \Gamma

This mathematical constraint ensures that if a chaotic attractor exists, applying any rotation or reflection from group Γ\Gamma transforms the attractor directly onto itself.

Visual Beauty

  • Crystalline Mandalas: In 3D space, symmetric attractors often resemble alien crystals, deep-sea radiolarians, or sacred geometry.
  • Uniform Mass Distribution: Because trajectories explore the phase space ergodically, the density of particle strikes averages out to mirror-perfect symmetry across every symmetry axis.
  • Dynamic Balance: Individual particle paths jump wildly from lobe to lobe, yet the overall structure remains eternally balanced.
Previous Type
3D Quadratic Map (Discrete Iteration)
All Attractor Types
Next Type
Lorenz Attractor