Rates of Convergence in the Blume–Emery–Griffiths Model
We derive rates of convergence for limit theorems that reveal the intricate structure of the phase transitions in a mean-field version of the Blume–Emery–Griffith model. The theorems consist of scaling limits for the total spin. The model depends on the inverse temperature β and the interaction stre...
Saved in:
Published in | Journal of statistical physics Vol. 154; no. 6; pp. 1483 - 1507 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.03.2014
Springer |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | We derive rates of convergence for limit theorems that reveal the intricate structure of the phase transitions in a mean-field version of the Blume–Emery–Griffith model. The theorems consist of scaling limits for the total spin. The model depends on the inverse temperature
β
and the interaction strength
K
. The rates of convergence results are obtained as
(
β
,
K
)
converges along appropriate sequences
(
β
n
,
K
n
)
to points belonging to various subsets of the phase diagram which include a curve of second-order points and a tricritical point. We apply Stein’s method for normal and non-normal approximation avoiding the use of transforms and supplying bounds, such as those of Berry–Esseen quality, on approximation error. |
---|---|
ISSN: | 0022-4715 1572-9613 |
DOI: | 10.1007/s10955-014-0925-y |