Statistical Dependence and Related Topics

dc.creatorKikuchi, Macoto
dc.creatorIto, Nobuyasu
dc.creatorOkabe, Yutaka
dc.date1994-04-21
dc.date.accessioned2026-07-07T03:07:13Z
dc.date.available2026-07-07T03:07:13Z
dc.descriptionOn the basis of the dynamical interpretation of Monte Carlo simulations, we discuss the relation of the equilibrium relaxation time, the susceptibility and the statistical error. We introduce a new quantity called {\it the statistical dependence time} $τ_{dep}$, which gives the reduction factor for the statistical degree of freedom due to the dynamical correlations between the data. A new method is proposed for calculating equilibrium relaxation time using $τ_{dep}$, the method which does not require knowledge of any time-displaced correlation function. We apply this method to the critical dynamics of Ising models in two and three dimensions, and estimate the dynamical critical exponent $z$ precisely. Systematic errors in response functions due to short simulations are also discussed from the viewpoint of the statistical dependence.
dc.descriptionkikuchi@godzilla.kek.jp; LaTeX, 9 pages, 6 figures; to appear in "Computer Simulations in Condensed Matter Physics VII", ed. D.P. Landau, K.K. Mon and H.B. Schüttler (Springer)
dc.identifierhttps://arxiv.org/abs/cond-mat/9404066
dc.identifierhttp://arxiv.org/abs/cond-mat/9404066
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/27092
dc.subjectCondensed Matter
dc.titleStatistical Dependence and Related Topics
dc.typetext

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