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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Published in | Journal of statistical physics Vol. 71; no. 5-6; pp. 1221 - 1230 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Springer
01.06.1993
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Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | None |
ISSN: | 0022-4715 1572-9613 |
DOI: | 10.1007/BF01049970 |