Random Walks and Scaling Limits

随机游走和缩放限制

• 批准号: 0734151
• 负责人: Gregory Lawler
• 金额: $ 33.8万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-02-20 至 2010-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0734151&HistoricalAwards=false
• 关键词: Random; Walks; Scaling; Limits

0405021Lawler There has been significant progress in the last few years in the rigorous understanding of two-dimensional lattice models in statistical physics "at criticality". A number of continuous models, most particularly the Schramm-Loewner evolution (SLE), have been constructed, and in some cases it has been proved that discrete models approach SLE in the limit. The proposer will study a number of discrete models, e.g., self-avoiding walk, Laplacian random walks, and walks on certain random graphs, with the hope of showing that they also converge to SLE. Also, the proposer will consider models in three dimensions where the recently developed techniques which rely on conformal invariance to not apply. The goal is to find three-dimensional continuous models to be candidates for limits of discrete systems. The goal of this proposal is to construct and analyze mathematical models for phase transition, which is the study of the sharp changes in a physical system when changing a parameter such as the freezing of water when the temperature is reduced. More generally, the mathematical goal is to understand universality principles that allow one to predict macroscopic behavior from microscopic rules. As well as being important to probability theory, the results will be relevant to many areas of theoretical physics. Special focus will be placed on the approach to the limit for two-dimensional models where the limit itself is now well understood and to construct candidates for the limit in three dimensions where the problems are more challenging.

0405021 Lawler在过去的几年里，在严格理解统计物理学中的二维晶格模型“临界”方面取得了重大进展。一些连续模型，特别是Schramm-Loewner演化（SLE），已经被构建，在某些情况下，它已被证明，离散模型接近SLE的极限。提议者将研究一些离散模型，例如，自避免行走，拉普拉斯随机行走，以及某些随机图上的行走，希望表明它们也收敛于SLE。此外，提议者将考虑三维模型，其中最近开发的依赖于共形不变性的技术不适用。我们的目标是找到三维连续模型的离散系统的极限的候选人。 该提案的目标是构建和分析相变的数学模型，相变是研究物理系统在改变参数时的急剧变化，例如温度降低时水的冻结。更一般地说，数学的目标是理解普适性原理，使人们能够从微观规则预测宏观行为。除了对概率论很重要外，这些结果还与理论物理的许多领域有关。特别重点将放在二维模型的极限的方法，现在已经很好地理解了极限本身，并在三维中构建候选人的极限，其中的问题更具挑战性。