EconPapers    
Economics at your fingertips  
 

A statistical measure of complexity with nonextensive entropy

Takuya Yamano

Physica A: Statistical Mechanics and its Applications, 2004, vol. 340, issue 1, 131-137

Abstract: A statistical measure of complexity utilising the concept of entropy or information is proposed. Our way in this study is to use a nonextensive entropy instead of an extensive (additive) Shannon entropy in the definition, but can be characterised as a difference between the qth-order Rényi entropy and the second one. Furthermore, we devise a conditional, joint, and mutual complexity measure as a coherent possibility. The behavior of the measure for the logistic map shows that it is more sensitive to nonextensivity at the transition point ac∼3.8284… than any other values when 0Keywords: Complexity measure; Nonextensive entropy; Information theory (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437104004078
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:340:y:2004:i:1:p:131-137

DOI: 10.1016/j.physa.2004.03.087

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:340:y:2004:i:1:p:131-137