Off-campus UMass Amherst users: To download dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.

Non-UMass Amherst users, please click the view more button below to purchase a copy of this dissertation from Proquest.

(Some titles may also be available free of charge in our Open Access Dissertation Collection, so please check there first.)

Limit theorems and parameter estimation for theq-state Curie-Weiss-Potts model

Kongming Wang, University of Massachusetts Amherst

Abstract

The q-state Curie-Weiss-Potts model, where q $\ge$ 3 is an integer, is a useful statistical mechanical model. It is an exponential family parametrized by the inverse absolute temperature $\beta$ and the external magnetic field h. As this dissertation shows, the model has a fascinating probabilistic structure. For q = 2, the model is equivalent to the classical Curie-Weiss model. The first part of the dissertation studies limit theorems for the empirical vector, $L\sb{n}(\omega)$, of the model. These limits include the law of large numbers, a central limit theorem when $\beta$ $<$ $\beta\sb{c}$ and h = 0, and a conditional central limit theorem when $\beta \ge \beta\sb{c}$ and h = 0, where $\beta\sb{c}$ is the critical inverse temperature. Also a central limit theorem with random centering is proved. The phase transition at $\beta\sb{c}$ is first-order, in contrast to a second-order phase transition in the classical Curie-Weiss model. All these limit theorems imply similar limits for the sample mean $n\sp{-1} S\sb{n}(\omega)$. Some limit theorems for the classical Curie-Weiss model are also presented. The second part of the dissertation studies the large sample behavior of the maximum likelihood estimator, $\ h\sb{n}$, of the external magnetic field h. I will study $\ h\sb{n}$ when $\beta$ is given and the true value of h is known to be 0. Under suitable conditioning, it is found that $\ h\sb{n}$ exists and is unique. It is also found that under suitable conditioning, $\sqrt{n}{\ h\sb{n}}$ has a normal limit when $\beta<\beta\sb{c}$ and a discontinuous limit when $\beta\ge\beta\sb{c}$. Despite this discontinuous limit, $\ h\sb{n}$ is always consistent for h whenever $\beta$ is given. I will also summarize some results on the maximum likelihood estimator, $\\beta\sb{n}$, of the inverse absolute temperature $\beta$. These results have been proved in Ellis-Wang (1990b).

Subject Area

Statistics|Mathematics

Recommended Citation

Wang, Kongming, "Limit theorems and parameter estimation for theq-state Curie-Weiss-Potts model" (1991). Doctoral Dissertations Available from Proquest. AAI9132930.
https://scholarworks.umass.edu/dissertations/AAI9132930

Share

COinS