课题基金 / 基金详情

Asymptotics of Positive Temperature Models From Statistical Mechanics

Asymptotics of Positive Temperature Models From Statistical Mechanics
统计力学正温度模型的渐进性
批准号:
2054703
负责人:
Evgeni Dimitrov
金额:
$14.93万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-07-01 至 2022-06-30

项目摘要

项目成果

Evgeni Dimitrov的其他基金

相似基金

相关文献

中文摘要
翻译
该项目旨在了解大型随机系统在正温度下的行为。这些模型的例子包括随机三维阶梯表面、相互作用的粒子系统、六顶点模型(用于描述水分子薄膜的结构)和相互作用避免随机行走(有时称为线集合)。这些模型中有许多具有显著的代数和组合性质,这使得它们的研究易于处理。该项目的主要目标是获得这些随机系统随其大小(体积和/或粒子数量)增长的渐近行为的详细描述(包括精确的数学公式)。这个项目涉及三个相互交织的研究方向。第一部分涉及kardar - paris - zhang (KPZ)普适类中可积模型的联合观测值的推导和渐近分析。可积模型的一个显著特征是,它们允许不同观测值的各种精确公式。许多这些公式的一个臭名昭著的问题是,由于存在难以控制的交叉项,它们难以渐近地研究,而该项目的目标之一是开发一个分析这些交叉项的框架。该项目的第二个方向是建立吉本线系综的通用尺度限制。各种可积模型,如Hall-Littlewood过程和log-gamma聚合物,自然具有线系综结构,预计这些系综将收敛于抛物线Airy系综(KPZ通用性中的通用缩放极限之一),该项目试图建立这一声明。项目的第三个方向是利用循环方程来理解多层次相互作用粒子系统的尺度极限,这是随机矩阵理论中β角过程的离散类似物,与杰克对称函数有关。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project aims to understand the behavior of large random systems at positive temperature. Examples of such models are given by random three-dimensional stepped surfaces, interacting particles systems, the six-vertex model (used to describe the structure of a thin film of water molecules), and interacting avoiding random walkers (sometimes called line ensembles). Many of these models have remarkable algebraic and combinatorial properties, which makes their study tractable. The main goal of the project is to obtain a detailed description (involving exact mathematical formulas) of the asymptotic behavior of these random systems as their size (volume and/or the number of particles) grows. The project involves three interwined directions of research. The first involves the derivation and asymptotic analysis of joint observables for integrable models in the Kardar-Parisi-Zhang (KPZ) universality class. A distinguished feature of integrable models is that they allow for various exact formulas of different observables. A notorious problem with many of these formulas is that they are difficult to study asymptotically, due to the presence of hard to control cross-terms, and one of the goals of the project is to develop a framework for analyzing these cross-terms. The second direction of the project is to establish universal scaling limits for Gibbsian line ensembles. Various integrable models, such as Hall-Littlewood processes and the log-gamma polymer, naturally carry a structure of a line ensemble and it is expected that these ensembles converge to the parabolic Airy line ensemble (one of the universal scaling limits in the KPZ universality class) -- the project seeks to establish this statement. The third direction of the project is to utilize loop equations to understand the scaling limits of multi-level interacting particle systems, which are discrete analogues of the beta-corners processes from random matrix theory and are related to Jack symmetric functions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Tightness of Bernoulli Gibbsian line ensembles
伯努利吉布斯线系综的紧密性
DOI: 10.1214/21-ejp698
发表时间: 2021
期刊: Electronic Journal of Probability
影响因子: 1.4
作者: [Dimitrov, Evgeni, Fang, Xiang, Fesser, Lukas, Serio, Christian, Teitler, Carson, Wang, Angela, Zhu, Weitao]
通讯作者: Zhu, Weitao
Fluctuations of the log-gamma polymer free energy with general parameters and slopes
具有一般参数和斜率的 log-gamma 聚合物自由能的波动
DOI: 10.1007/s00440-021-01073-1
发表时间: 2021
期刊: Probability Theory and Related Fields
影响因子: 2
作者: [Barraquand, Guillaume, Corwin, Ivan, Dimitrov, Evgeni]
通讯作者: Dimitrov, Evgeni
Asymptotics of Positive Temperature Models From Statistical Mechanics
  • 批准号:
    2230262
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.93万
  • 财政年份:
    2022
  • 负责人:
    Evgeni Dimitrov
  • 依托单位:
海外基金