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Abhishek, S., Asok, R. and Shalabh, G. (2009) An Information-Theoretic Measure for Anomaly Detection in Complex Dynamical System. Mechanical Systems and Signal Processing, 23, 358-371. https://doi.org/10.1016/j.ymssp.2008.04.007

has been cited by the following article:

• TITLE: An Informational Proof of H-Theorem

  AUTHORS: Vincenzo Manca

  KEYWORDS: Thermodynamic Entropy, H-Theorem, Information Entropy, Entropic Divergence

  JOURNAL NAME: Open Access Library Journal, Vol.4 No.2, February 21, 2017

  ABSTRACT: After a historical reconstruction of the main Boltzmann’s ideas on mechanical statistics, a discrete version of Boltzmann’s H-theorem is proved, by using basic concepts of information theory. Namely, H-theorem follows from the central limit theorem, acting inside a closed physical system, and from the maximum entropy law for normal probability distributions, which is a consequence of Kullback-Leibler entropic divergence positivity. Finally, the relevance of discreteness and probability, for a deep comprehension of the relationship between physical and informational entropy, is analyzed and discussed in the light of new perspectives emerging in computational genomics.