2002
DOI: 10.1103/physreve.66.046140
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Finite-size analysis of the hard-square lattice gas

Abstract: We investigate the hard-square lattice-gas model by means of transfer-matrix calculations and a finite-sizescaling analysis. Using a minimal set of assumptions we find that the spectrum of correction-to-scaling exponents is consistent with that of the exactly solved Ising model, and that the critical exponents and correlationlength amplitudes closely follow the relation predicted by conformal invariance. Assuming that these spectra are exactly identical, and conformal invariance, we determine the critical poin… Show more

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Cited by 54 publications
(75 citation statements)
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“…However, the statistical error listed in Table II has still to be revised to include the effect of the uncertainty in the critical point, which we quote as μ c = 4.584(2) on the basis of the results in Table I. This leads to our final estimate y h = 1.877 (9).…”
Section: Discussionmentioning
confidence: 98%
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“…However, the statistical error listed in Table II has still to be revised to include the effect of the uncertainty in the critical point, which we quote as μ c = 4.584(2) on the basis of the results in Table I. This leads to our final estimate y h = 1.877 (9).…”
Section: Discussionmentioning
confidence: 98%
“…(3). This situation is quite unlike, e.g., the nearest-neighbor exclusion model, which allows [9] the very accurate determination of some universal parameters. It thus seemed necessary to apply Monte Carlo calculations, which can handle much larger system sizes, to analyze the model of Eq.…”
Section: Introductionmentioning
confidence: 90%
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“…This system, which can also interpreted either as 45 o tilted hard-squares of linear size λ = √ 2 or as hard disks of radius √ 2/2, has been extensively studied and here we present some results for the sake of both completeness and comparison. Many different approaches have been used to describe its properties on a square lattice: series expansions [3,5,11,12,13], cluster variational and transfer matrix methods [5,14,15,16,17,18,19,20,21,22,23], renormalization group [24,25], Monte Carlo simulations [26,27,28,29,30,31,32,33], Bethe lattice [5,34,35,36,37,38], and more recently density functional theory [39]. Moreover, this model has also been considered because of its interesting mathematical [40,41,42] and dynamical [43,44,45,46,47,48,49,50,51,…”
Section: A Nearest Neighbor Exclusion (1nn)mentioning
confidence: 99%