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Information Content and Maximum Entropy of Compartmental Systems in Equilibrium

Holger Metzler1,2,3,4, Carlos A Sierra1

  • 1Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany.

Entropy (Basel, Switzerland)
|October 28, 2025
PubMed
Summary

This study applies information theory to mass-balanced compartmental systems, using Markov chains to quantify trajectory uncertainty and transitions. This approach reveals system structures and aids model selection, overcoming limitations of classical entropy measures.

Keywords:
MaxEntcompartmental systemsequifinalityinformation entropymodel identificationreservoir models

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