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arXiv 1708.02440math-phcond-mat.stat-mechmath.MP
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非平衡态统计物理模型的可积性方法

An integrabilist approach of out-of-equilibrium statistical physics models

Matthieu Vanicat

摘要:

在论文的第一部分中,我们构建了称为可积的模型,在该模型中,我们可以执行物理量的精确计算。我们介绍了几个新的平衡模型,通过解决,在特定情况下,杨巴克斯特方程和反射方程。我们提供了新的代数结构,使我们能够通过构造的解决方案,通过一个repeterisation程序。在论文的第二部分中,我们使用矩阵分析法精确地计算了这些模型的定态。我们揭示了这种技术和模型的可积性之间的联系,指出两个关键的关系:Zamolodchikov-Faddeev关系和Ghoshal-Zamolodchikov关系。可积性也被利用,通过量子Knizhnik-Zamolodchikov方程,计算粒子流的波动,揭示了与对称多项式理论(特别是Koornwinder多项式)的联系。最后讨论了模型的流体动力学极限,即当网格间距趋于零,粒子数趋于无穷大时的流体动力学极限。有限尺寸系统的精确结果使我们能够检验宏观涨落理论(关于稳态中电流和密度分布的涨落)的预测的有效性,并将该理论扩展到具有几种粒子的系统。

英文摘要:

In the first part of the thesis we construct models, called integrable, in which we can perform exact computations of physical quantities. We introduce several new out-of-equilibrium models that are obtained by solving, in specific cases, the Yang-Baxter equation and the reflection equation. We provide new algebraic structures which allow us to construct the solutions through a Baxterisation procedure. In the second part of the thesis we compute exactly the stationary state of these models using a matrix ansatz. We shed light on the connection between this technique and the integrability of the model by pointing out two key relations: the Zamolodchikov-Faddeev relation and the Ghoshal-Zamolodchikov relation. The integrability is also exploited, through the quantum Knizhnik-Zamolodchikov equations, to compute the fluctuations of the particles current, unrevealing connections with the theory of symmetric polynomials (the Koornwinder polynomials in particular). Finally the last part of the thesis deals with the hydrodynamic limit of the models, i.e when the lattice spacing tends to zero and the number of particles tends to infinity. The exact results obtained for a finite size system allow us to check the validity of the predictions of the macroscopic fluctuations theory (concerning the fluctuations of the current and the density profile in the stationary state) and to extend the theory to systems with several species of particles.

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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