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How can ergodicity be demonstrated using the Lorenz equations?

Ergodicity can be demonstrated by comparing the spatial distribution of a single long trajectory with that of a large ensemble of initial conditions. As the time scales increase, the two distributions visually converge to become identical.

Conditions

  • Applies to the Lorenz equations within a specific parameter range where ergodicity can be proven analytically.
  • The phase space is projected onto the x and z axes.
  • An ensemble of approximately 500 million points is used.

Reasoning, step by step

  1. Plot the distribution of a single trajectory of length 1000 and compare it to an ensemble evolved for 5 seconds; they look remarkably different.
  2. Increase the trajectory length to 10000 and the ensemble evolution time to 10 seconds; the distributions now look more similar.
  3. Further increase the trajectory length to 100000 and the ensemble evolution time to 50 seconds; the distributions look identical.
  4. Conclude that the visual convergence confirms the ergodic hypothesis for the Lorenz system.

Example

The video shows side-by-side heatmaps where the left plot tracks a single trajectory over increasing time lengths (1,000 to 100,000) and the right plot shows a massive ensemble evolved over corresponding short times (5 to 50 seconds).

Common misconceptions

  • Assuming the distributions are identical at short time scales.
  • Thinking that the visual proof replaces the analytical proof of ergodicity.

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Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.