A dynamical systems-based Hierarchy for Shannon, metric and topological entropy
Document Type
Article
Publication Date
10-1-2019
Abstract
A rigorous dynamical systems-based hierarchy is established for the definitions of entropy of Shannon (information), Kolmogorov-Sinai (metric) and Adler, Konheim & McAndrew (topological). In particular, metric entropy, with the imposition of some additional properties, is proven to be a special case of topological entropy and Shannon entropy is shown to be a particular form of metric entropy. This is the first of two papers aimed at establishing a dynamically grounded hierarchy comprising Clausius, Boltzmann, Gibbs, Shannon, metric and topological entropy in which each element is ideally a special case of its successor or some kind of limit thereof.
Identifier
85074020747 (Scopus)
Publication Title
Entropy
External Full Text Location
https://doi.org/10.3390/e21100938
e-ISSN
10994300
Issue
10
Volume
21
Recommended Citation
    Addabbo, Raymond and Blackmore, Denis, "A dynamical systems-based Hierarchy for Shannon, metric and topological entropy" (2019). Faculty Publications.  7294.
    
    
    
        https://digitalcommons.njit.edu/fac_pubs/7294
    
 
				 
					