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Applications of the Lace Expansion to Statistical-Mechanical Models

9780199239252.003.0006.pdf279.94 kBPDF見る/開く

タイトル: Applications of the Lace Expansion to Statistical-Mechanical Models
著者: Sakai, Akira 著作を一覧する
キーワード: lace expansion
phase transition
Ising model
self-avoiding walk
発行日: 2008年
出版者: Oxford University Press
引用: Analysis and stochastics of growth processes and interface models
巻: Chapter: 3.1
開始ページ: 123
終了ページ: 147
出版社 DOI: 10.1093/acprof:oso/9780199239252.003.0006
抄録: Synergetics is a common feature in interesting statistical-mechanical problems. One of the most important examples of synergetics is the emergence of a second-order phase transition and critical behaviour. It is rich and still far from fully understood. The reason why it is so difficult is due to the increase to infinity of the number of strongly correlated variables in the vicinity of the critical point. For example, the Ising model, which is a model for magnets, exhibits critical behaviour as the temperature comes closer to its critical value; the closer the temperature is to criticality, the more spin variables cooperate with each other to attain the global magnetization. In this regime, neither standard probability theory for independent random variables nor naive perturbation techniques work. The lace expansion, which is the topic of this article, is currently one of the few approaches to rigorous investigation of critical behaviour for various statistical-mechanical models. The chapter summarizes some of the most intriguing lace-expansion results for self-avoiding walk (SAW), percolation, and the Ising model.
Rights: "Applications of the lace expansion to statistical-mechanical models" by "Analysis and Stochastics of Growth Processes and Interface Models" edited by Peter Mörters ...[et al.], 2008, reproduced by permission of Oxford University Press
資料タイプ: article (author version)
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 坂井 哲


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