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Critical Behavior in Physics and Probabilistic Formal Languages
Henry Lin, Max Tegmark, 2017. Entropy.
Shows that mutual information between two symbols decays exponentially with distance under regular grammars but can decay as a power law under context-free grammars, and links this to results in statistical physics.
What it's used for here
The emerging-methods survey uses its result to propose comparing how word mutual information decays with distance in the manuscript and in Markov generators.
Cited by on this site 1 record
1 methods surveys
SRCMathematics
Cite it
Lin, H., & Tegmark, M. (2017). Critical Behavior in Physics and Probabilistic Formal Languages. Entropy. https://doi.org/10.3390/e19070299
@article{lin2017critical,
author = {Lin, Henry and Tegmark, Max},
title = {Critical Behavior in Physics and Probabilistic Formal Languages},
journal = {Entropy},
year = {2017},
doi = {10.3390/e19070299},
url = {https://doi.org/10.3390/e19070299}
}TY - JOUR TI - Critical Behavior in Physics and Probabilistic Formal Languages AU - Lin, Henry AU - Tegmark, Max PY - 2017 JO - Entropy DO - 10.3390/e19070299 UR - https://doi.org/10.3390/e19070299 ER -
Lin, Henry and Max Tegmark. “Critical Behavior in Physics and Probabilistic Formal Languages.” Entropy (2017). https://doi.org/10.3390/e19070299.