arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1607.08684math.PRmath-phmath.MP
收藏

ASEP和随机六顶点模型中的相变

Phase Transitions in the ASEP and Stochastic Six-Vertex Model

Amol Aggarwal, Alexei Borodin

摘要:

本文考虑Kardar-Parisi-Zhang(KPZ)普适类中的两个模型:非对称简单排它过程(ASEP)和随机六顶点模型.我们引入了一类新的初始数据(我们称之为{ \itshape广义步骤伯努利初始数据}),这两个模型,概括了步骤伯努利初始数据的研究,在最近的一些工作的ASEP。在这类初始数据下,我们分析了ASEP和随机六顶点模型的电流波动,并建立了沿特征线的相变的存在性,通过该特征线,波动指数从$1 / 2$变为$1 / 3$。在特征线上,电流波动收敛于一般(秩$k$)Baik-Ben-Arous-Péché分布,适用于临界尖峰协方差阵的最大特征值定律。对于$k = 1$,这是Tracy和Widom为ASEP建立的;对于$k > 1$(以及$k = 1$,随机六顶点模型),这些分布在两个模型中的出现都是新的。

英文摘要:

In this paper we consider two models in the Kardar-Parisi-Zhang (KPZ) universality class, the asymmetric simple exclusion process (ASEP) and the stochastic six-vertex model. We introduce a new class of initial data (which we call {\itshape generalized step Bernoulli initial data}) for both of these models that generalizes the step Bernoulli initial data studied in a number of recent works on the ASEP. Under this class of initial data, we analyze the current fluctuations of both the ASEP and stochastic six-vertex model and establish the existence of a phase transition along a characteristic line, across which the fluctuation exponent changes from $1 / 2$ to $1 / 3$. On the characteristic line, the current fluctuations converge to the general (rank $k$) Baik-Ben-Arous-Péché distribution for the law of the largest eigenvalue of a critically spiked covariance matrix. For $k = 1$, this was established for the ASEP by Tracy and Widom; for $k > 1$ (and also $k = 1$, for the stochastic six-vertex model), the appearance of these distributions in both models is new.

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。

↑