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The Kardar-Parisi-Zhang (KPZ) Universality of Random Growing Interfaces

随机增长界面的 Kardar-Parisi-Zhang (KPZ) 普遍性

基本信息

批准号：
2321493
负责人：
Kanstantsin Matetski
金额：
$ 14.9万
依托单位：
Michigan State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2023
资助国家：
美国
起止时间：
2023-02-15 至 2024-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321493&HistoricalAwards=false
关键词：
Kardar Parisi Zhang KPZ Universality

项目摘要

The project concerns universal large-scale behavior of random growing interfaces, which are mathematical models that describe real physical processes such as propagating fire fronts, growing liquid crystals, bacterial colonies and coffee stains. These processes are typically modeled using the statistical mechanics approach, i.e. by considering large systems of interacting particles, where each particle corresponds to a molecule or an individual bacterium. Imprecision of our measurements and dependence of physical processes on many factors are typically described by random perturbations of particles. Large-scale behavior of such models is observed when one looks at the systems from a sufficiently large distance, after a sufficiently long period of time. Universality in this case refers to the fact that such growing interfaces exhibit similar large-scale behavior. Description of this universal behavior gives a better understanding of the real physical processes in nature. Recent breakthroughs in probability theory, particularly in stochastic partial differential equations and integrable probability, have provided the tools to study such mathematical models.The Kardar-Parisi-Zhang (KPZ) universality arises in non-equilibrium statistical mechanics, when studying limiting behavior of random growing interfaces. On the mathematical level, growing interfaces appear in free energies of directed random polymers, random growth models, interacting particle systems, stochastic Burgers and Hamilton-Jacobi-Bellman equations, and stochastically perturbed reaction-diffusion equations. Depending on the characteristics of models, two universal objects are conjectured to govern such interfaces: the KPZ equation and the KPZ fixed point. Recent developments in the area of stochastic PDEs allow to prove scaling limits of various discrete systems to singular stochastic PDEs. Moreover, methods of integrable probability (exactly solvable models) provided a complete characterization of the KPZ fixed point. The goal of this project is to study universal scaling limits of such random growing interfaces using these new results.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.

该项目涉及随机生长界面的普遍大规模行为，这些界面是描述真实物理过程的数学模型，例如传播火锋、生长液晶、细菌菌落和咖啡渍。这些过程通常使用统计力学方法进行建模，即通过考虑相互作用粒子的大型系统，其中每个粒子对应于一个分子或单个细菌。我们的测量的不精确性以及物理过程对许多因素的依赖性通常通过粒子的随机扰动来描述。当人们在足够长的时间后从足够远的距离观察系统时，可以观察到此类模型的大规模行为。在这种情况下，普遍性是指这种不断增长的界面表现出类似的大规模行为。对这种普遍行为的描述可以更好地理解自然界中真实的物理过程。概率论的最新突破，特别是随机偏微分方程和可积概率，为研究此类数学模型提供了工具。在研究随机生长界面的极限行为时，非平衡统计力学中出现了 Kardar-Parisi-Zhang (KPZ) 普适性。在数学层面上，生长界面出现在定向随机聚合物的自由能、随机生长模型、相互作用的粒子系统、随机伯格斯和汉密尔顿-雅可比-贝尔曼方程以及随机扰动反应扩散方程中。根据模型的特点，推测有两个通用对象来控制此类接口：KPZ 方程和 KPZ 不动点。随机偏微分方程领域的最新发展可以证明各种离散系统对奇异随机偏微分方程的标度限制。此外，可积概率方法（精确可解模型）提供了 KPZ 不动点的完整表征。该项目的目标是利用这些新结果研究此类随机生长界面的通用缩放限制。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。