ergodicity_symbolic_dynamics

Experiments: Ergodicity detection algorithms: Scaling of ergodicity in random symbolic dynamics

M. Süzen   
(c) 2025

Supplementary code and datasets for reproducing the results from the paper:

Ergodicity detection algorithms: Scaling of ergodicity in random symbolic dynamics.
M. Suezen
arXiv:2508.08319 (2025)

Notebooks

The following notebooks can be used to reproduce the results.

• data_gen.ipynb : Simulation code and data generation.
• process.ipynb: Plots and tables.

Generated Data

We generate the following datasets under data.

case1_symbolic_space.dill
case2_sparse_102.dill
case2_sparse_183.dill

Storage formats are defined in the notebooks.

Artifacts

Running notebook will generate following artifacts. (see artifacts directory for comparisons)

ensemble_set_2_3.eps
ensemble_set_2_3.png
ensemble_set_3_2.eps
ensemble_set_3_2.png
full_visits.eps
full_visits.latex
full_visits.png
power_laws_coeff.eps
power_laws_coeff.png
sparse_visit_10_2_baseline.eps
sparse_visit_10_2_baseline.latex
sparse_visit_10_2_baseline.png
sparse_visit_18_3_baseline.eps
sparse_visit_18_3_baseline.latex
sparse_visit_18_3_baseline.png

License

This project and all contributions are licensed under :

• All non-code
• Code under