Suppr超能文献

p态时钟模型中主导费舍尔零点的对数有限尺寸标度修正:高阶张量重整化群研究

Logarithmic finite-size scaling correction to the leading Fisher zeros in the p-state clock model: A higher-order tensor renormalization group study.

作者信息

Hong Seongpyo, Kim Dong-Hee

机构信息

Department of Physics and Photon Science, School of Physics and Chemistry, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.

出版信息

Phys Rev E. 2020 Jan;101(1-1):012124. doi: 10.1103/PhysRevE.101.012124.

Abstract

We investigate the finite-size-scaling (FSS) behavior of the leading Fisher zero of the partition function in the complex temperature plane in the p-state clock models of p=5 and 6. We derive the logarithmic finite-size corrections to the scaling of the leading zeros which we numerically verify by performing the higher-order tensor renormalization group (HOTRG) calculations in the square lattices of a size up to 128×128 sites. The necessity of the deterministic HOTRG method in the clock models is noted by the extreme vulnerability of the numerical leading zero identification against stochastic noises that are hard to be avoided in the Monte Carlo approaches. We characterize the system-size dependence of the numerical vulnerability of the zero identification by the type of phase transition, suggesting that the two transitions in the clock models are not of an ordinary first- or second-order type. In the direct FSS analysis of the leading zeros in the clock models, we find that their FSS behaviors show excellent agreement with our predictions of the logarithmic corrections to the Berezinskii-Kosterlitz-Thouless ansatz at both of the high- and low-temperature transitions.

摘要

我们研究了p = 5和6的p态时钟模型中,配分函数在复温度平面上主导费舍尔零点的有限尺寸标度(FSS)行为。我们推导了主导零点标度的对数有限尺寸修正,并通过在最大尺寸为128×128格点的方形晶格中进行高阶张量重整化群(HOTRG)计算来进行数值验证。在时钟模型中,确定性HOTRG方法的必要性体现在数值主导零点识别对随机噪声极其敏感,而在蒙特卡罗方法中这些随机噪声难以避免。我们通过相变类型来刻画零点识别数值脆弱性的系统尺寸依赖性,这表明时钟模型中的两种相变并非普通的一阶或二阶类型。在对时钟模型中主导零点的直接FSS分析中,我们发现它们的FSS行为与我们对高温和低温转变处Berezinskii-Kosterlitz-Thouless假设的对数修正预测表现出极佳的一致性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验