The logarithmic anti-derivative of the Baik-Rains distribution satisfies the KP equation

Pub Date : 2022-01-01 DOI:10.1214/22-ecp469
Xincheng Zhang
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Abstract

It has been discovered that the Kadomtsev-Petviashvili (KP) equation governs the distribution of the fluctuation of many random growth models. In particular, the Tracy-Widom distributions appear as special self-similar solutions of the KP equation. We prove that the anti-derivative of the Baik-Rains distribution, which governs the fluctuation of the models in the KPZ universality class starting with stationary initial data, satisfies the KP equation. The result is first derived formally by taking a limit of the generating function of the KPZ equation, which satisfies the KP equation. Then we prove it directly using the explicit Painlevé II formulation of the Baik-Rains distribution. the long-time fluctuations of models which belong to the KPZ universality class. A 1 ( x ) is a stationary process, whose one-point distribution is the Tracy-Widom GOE distribution. The one point marginal of A 2 ( x ) is given by the Tracy-Widom GUE distribution. The one point marginal of A stat ( x ) is given by the Baik-Rains distribution.
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Baik-Rains分布的对数反导数满足KP方程
已经发现,Kadomtsev Petviashvili(KP)方程控制了许多随机增长模型的折射率分布。特别地,Tracy-Widom分布表现为KP方程的特殊自相似解。我们证明了Baik-Rains分布的反导数满足KP方程,该分布从平稳的初始数据开始控制KPZ普适性类中模型的推导。该结果首先通过取KPZ方程的生成函数的极限来正式推导,这满足了KP方程。然后我们直接使用Baik-Rains分布的显式PainlevéII公式来证明它。属于KPZ普适性类别的模型的长期反映。1(x)是一个平稳过程,其一点分布是Tracy-Widom-GOE分布。A2(x)的一点边际由Tracy Widom GUE分布给出。A stat(x)的一点边际由Baik-Rains分布给出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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