2000
DOI: 10.1088/0305-4470/33/4/306
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Finite-size scaling corrections in two-dimensional Ising and Potts ferromagnets

Abstract: Abstract. Finite-size corrections to scaling of critical correlation lengths and free energies of Ising and three-state Potts ferromagnets are analysed by numerical methods, on strips of width N sites of square, triangular and honeycomb lattices. Strong evidence is given that the amplitudes of the 'analytical' correction terms, N −2 , are identically zero for triangular and honeycomb Ising systems. For Potts spins, our results are broadly consistent with this lattice-dependent pattern of cancellations, though … Show more

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Cited by 28 publications
(30 citation statements)
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References 29 publications
(81 reference statements)
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“…The exact and numerical estimates [18] of the subdominant correction amplitudes for the sq, hc, and pt lattices are presented in Table I, which shows that the numerical values obtained by de Queiroz [18] are very close to our exact results. On the basis of conformal invariance, the asymptotic finite-size scaling behavior of the critical free energy and the inverse correlation length is found to be [19] …”
supporting
confidence: 78%
“…The exact and numerical estimates [18] of the subdominant correction amplitudes for the sq, hc, and pt lattices are presented in Table I, which shows that the numerical values obtained by de Queiroz [18] are very close to our exact results. On the basis of conformal invariance, the asymptotic finite-size scaling behavior of the critical free energy and the inverse correlation length is found to be [19] …”
supporting
confidence: 78%
“…Note that this is expected to be true only in the thermodynamic limit. In the finite-size scaling limit corrections that vanish like L −2 1 are indeed observed [11]. It is also not true for other observables, for instance, for the correlation length ξ.…”
Section: Extrapolation To the Thermodynamic Limitmentioning
confidence: 94%
“…Typically, numerically based or experimental studies involve systems of limited size where these corrections to leading FSS behaviour cannot be dismissed. A better knowledge of universal sub-dominant behaviour would therefore be of great benefit in FSS extrapolation procedures [13,14,15,16,17,18,19,20,21,22]. …”
mentioning
confidence: 99%