EconPapers    
Economics at your fingertips  
 

Identifying Complexity by Means of Matrices

S. Drozdz, J. Kwapien, J. Speth and M. Wojcik

Papers from arXiv.org

Abstract: Complexity is an interdisciplinary concept which, first of all, addresses the question of how order emerges out of randomness. For many reasons matrices provide a very practical and powerful tool in approaching and quantifying the related characteristics. Based on several natural complex dynamical systems, like the strongly interacting quantum many-body systems, the human brain and the financial markets, by relating empirical observations to the random matrix theory and quantifying deviations in term of a reduced dimensionality, we present arguments in favour of the statement that complexity is a pheomenon at the edge between collectivity and chaos.

Date: 2001-12
References: Add references at CitEc
Citations:

Published in PhysicaA314:355-361,2002

Downloads: (external link)
http://arxiv.org/pdf/cond-mat/0112271 Latest version (application/pdf)

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:arx:papers:cond-mat/0112271

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().

 
Page updated 2025-03-19
Handle: RePEc:arx:papers:cond-mat/0112271