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arXiv 2012.12210cond-mat.stat-mech

双组分驱动扩散模型中的Kardar-Parisi-Zhang普适性:对称性与重整化群视角

Kardar-Parisi-Zhang universality in two-component driven diffusive models: Symmetry and renormalization group perspectives

Pritha Dolai, Aditi Simha, Abhik Basu

AI总结:

本文通过微扰重整化群方法研究双组分一维驱动扩散模型的时空标度性质,证明其标度指数与一维KPZ方程一致,并借助对称性分析确立这些模型属于一维KPZ普适类。

摘要:

我们阐明了一类由两个耦合非对称排斥过程组成的双组分一维驱动扩散系统中时间相关函数的普适时空标度性质。通过使用微扰重整化群框架,我们表明相关标度指数的值与一维Kardar-Parisi-Zhang(KPZ)方程的值相同。我们将这些普适标度指数与模型方程的对称性联系起来。由此我们确立这些模型属于一维KPZ普适类。

英文摘要:

We elucidate the universal spatio-temporal scaling properties of the time-dependent correlation functions in a class of two-component one-dimensional (1D) driven diffusive system that consists of two coupled asymmetric exclusion process. By using a perturbative renormalization group framework, we show that the relevant scaling exponents have values same as those for the 1D Kardar-Parisi-Zhang (KPZ) equation. We connect these universal scaling exponents with the symmetries of the model equations. We thus establish that these models belong to the 1D KPZ universality class.

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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