Nonlinear and Complex Dynamics in Real Systems
William Barnett,
Apostolos Serletis and
Demitre Serletis
Additional contact information
Demitre Serletis: University of Toronto
No 200517, WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS from University of Kansas, Department of Economics
Abstract:
This paper was produced for the El-Naschie Symposium on Nonlinear Dynamics in Shanghai in December 2005. In this paper we provide a review of the literature with respect to fluctuations in real systems and chaos. In doing so, we contrast the order and organization hypothesis of real systems with nonlinear chaotic dynamics and discuss some techniques used in distinguishing between stochastic and deterministic behavior. Moreover, we look at the issue of where and when the ideas of chaos could profitably be applied to real systems.
Keywords: Chaos; Nonlinearity; Self-organized criticality (search for similar items in EconPapers)
JEL-codes: C14 C22 C8 E32 E37 (search for similar items in EconPapers)
Pages: 6 pages
Date: 2005-09, Revised 2005-09
New Economics Papers: this item is included in nep-hpe and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.ku.edu/~bgju/2005Papers/200517.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.ku.edu/~bgju/2005Papers/200517.pdf [301 Moved Permanently]--> https://www.ku.edu/~bgju/2005Papers/200517.pdf)
Related works:
Working Paper: Nonlinear and Complex Dynamics in Real Systems (2005) 
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:kan:wpaper:200517
Access Statistics for this paper
More papers in WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS from University of Kansas, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Professor Zongwu Cai ().