Statistical studies of complex systems: a random matrix approach
Pragya Shukla
Physica A: Statistical Mechanics and its Applications, 2002, vol. 315, issue 1, 45-52
Abstract:
Recent studies indicate that the random matrix theory can play a significant role as a model for the statistical properties of a wide range of complex systems. However, so far the results were known only for a special class of random matrix ensembles. The lack of information about the generalized ensembles discouraged physicists from using random matrix as an analytical tool. Fortunately, a great deal of the related information can now be obtained by using a new technique which is briefly reviewed in this work.
Keywords: Random; Hermitian; Eigenvalues (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843710201258X
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:315:y:2002:i:1:p:45-52
DOI: 10.1016/S0378-4371(02)01258-X
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 ().