Series and Monte Carlo study of high-dimensional Ising models

Ising models in high dimensions are used to compare high-temperature series expansions with Monte Carlo simulations. Simulations of the magnetization on four-, six-, and seven-dimensional hypercubic lattices give consistent values of the critical temperature from both equilibrium and nonequilibrium...

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Bibliographic Details
Published inJournal of statistical physics Vol. 71; no. 5-6; pp. 1221 - 1230
Main Authors GOFMAN, M, ADLER, J, AHARONY, A, HARRIS, A. B, STAUFFER, D
Format Journal Article
LanguageEnglish
Published Heidelberg Springer 01.06.1993
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Summary:Ising models in high dimensions are used to compare high-temperature series expansions with Monte Carlo simulations. Simulations of the magnetization on four-, six-, and seven-dimensional hypercubic lattices give consistent values of the critical temperature from both equilibrium and nonequilibrium data for d = 6 and 7. The authors tabulate 15 terms of series expansions for the susceptibility for general d and give J/k[sub B]T[sub c]= 0.092295 (3) and 0.077706 (2) for d = 6 and 7. In contrast to five dimensions, where earlier series found nonanalytic scaling corrections, for d=6 and 7 the leading scaling correction may be analytic in T- T[sub c]. In most cases these expansions gave more accurate results than these simulations. 16 refs., 7 figs., 1 tab.
Bibliography:None
ISSN:0022-4715
1572-9613
DOI:10.1007/BF01049970