Identifying Complexity by Means of Matrices

Simple item page
dc.creatorDrozdz, S.
dc.creatorKwapien, J.
dc.creatorSpeth, J.
dc.creatorWojcik, M.
dc.date2001-12-14
dc.date.accessioned2026-07-07T12:16:36Z
dc.date.available2026-07-07T12:16:36Z
dc.descriptionComplexity 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.
dc.descriptionTalk given by S. Drozdz at "Horizons in Complex Systems", Messina, December 5-8, 2001
dc.identifierhttps://arxiv.org/abs/cond-mat/0112271
dc.identifierhttp://arxiv.org/abs/cond-mat/0112271
dc.identifierPhysicaA314:355-361,2002
dc.identifierdoi:10.1016/S0378-4371(02)01066-X
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/211852
dc.subjectSoft Condensed Matter
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectNuclear Theory
dc.subjectStatistical Finance
dc.titleIdentifying Complexity by Means of Matrices
dc.typetext

Files

Collections

arXiv