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arXiv 1802.08210math.PRcond-mat.stat-mechmath-phmath.COmath.MP
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半空间Macdonald过程

Half-space Macdonald processes

Guillaume Barraquand, Alexei Borodin, Ivan Corwin

摘要:

Macdonald过程是对整数分割序列的度量,这些整数分割序列使用Macdonald对称函数的柯西求和恒等式构建。这些测度是揭示许多概率系统的可积性的有用工具,包括Kardar-Parisi-Zhang(KPZ)方程及其普适类中的许多其他模型。在本文中,我们开发的结构理论背后的半空间变体的这些模型和相应的半空间麦克唐纳过程。这些过程是使用Littlewood求和恒等式而不是Cauchy恒等式建立的,并且它们的分析比全空间的对应过程要困难得多。我们计算一般半空间麦克唐纳测度的可观测量的矩和拉普拉斯变换。引入新的动态保持这类措施,我们将它们与各种随机过程,特别是在半象限的对数伽马聚合物(它们也与随机六顶点模型在半象限和半空间ASEP)。对于聚合物模型,我们提供了明确的积分公式的拉普拉斯变换的分拆函数。非严格的鞍点渐近性产生定向聚合物自由能收敛到Tracy-Widom GOE、GSE或高斯分布,这取决于边界上权重的平均大小。

英文摘要:

Macdonald processes are measures on sequences of integer partitions built using the Cauchy summation identity for Macdonald symmetric functions. These measures are a useful tool to uncover the integrability of many probabilistic systems, including the Kardar-Parisi-Zhang (KPZ) equation and a number of other models in its universality class. In this paper we develop the structural theory behind half-space variants of these models and the corresponding half-space Macdonald processes. These processes are built using a Littlewood summation identity instead of the Cauchy identity, and their analysis is considerably harder than their full-space counterparts. We compute moments and Laplace transforms of observables for general half-space Macdonald measures. Introducing new dynamics preserving this class of measures, we relate them to various stochastic processes, in particular the log-gamma polymer in a half-quadrant (they are also related to the stochastic six-vertex model in a half-quadrant and the half-space ASEP). For the polymer model, we provide explicit integral formulas for the Laplace transform of the partition function. Non-rigorous saddle point asymptotics yield convergence of the directed polymer free energy to either the Tracy-Widom GOE, GSE or the Gaussian distribution depending on the average size of weights on the boundary.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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