Limit theorems for the empirical vector of the Curie-Weiss-Potts model
The law of large numbers and its breakdown, the central limit theorem, a central limit theorem with conditioning, and a central limit theorem with random centering are proved for the empirical vector of the Curie-Weiss-Potts model, which is a model in statistical mechanics. The nature of the limits reflects the phase transition in the model.
Year of publication: |
1990
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Authors: | Ellis, Richard S. ; Wang, Kongming |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 35.1990, 1, p. 59-79
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Publisher: |
Elsevier |
Keywords: | empirical vector Curie-Weiss-Potts model law of large numbers central limit theorem |
Saved in:
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