The factorization method for systems with a complex action -a test in Random Matrix Theory for finite density QCD

Ambjørn, J; Anagnostopoulos, K; Nishimura, J; Verbaarschot, J

dc.contributor.author	Ambjørn, J	en
dc.contributor.author	Anagnostopoulos, K	en
dc.contributor.author	Nishimura, J	en
dc.contributor.author	Verbaarschot, J	en
dc.date.accessioned	2014-03-01T01:51:47Z
dc.date.available	2014-03-01T01:51:47Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26441
dc.subject	Distribution Function	en
dc.subject	Exact Results	en
dc.subject	Factorization Method	en
dc.subject	First-order Phase Transition	en
dc.subject	Monte Carlo Simulation	en
dc.subject	Random Matrix Theory	en
dc.subject	Thermodynamic Limit	en
dc.title	The factorization method for systems with a complex action -a test in Random Matrix Theory for finite density QCD	en
heal.type	journalArticle	en
heal.identifier.primary	10.1088/1126-6708/2002/10/062	en
heal.identifier.secondary	http://dx.doi.org/10.1088/1126-6708/2002/10/062	en
heal.publicationDate	2002	en
heal.abstract	Monte Carlo simulations of systems with a complex action are known to beextremely difficult. A new approach to this problem based on a factorizationproperty of distribution functions of observables has been proposed recently.The method can be applied to any system with a complex action, and iteliminates the so-called overlap problem completely. We test the new approach	en
dc.identifier.doi	10.1088/1126-6708/2002/10/062	en