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Random Matrices and the Convergence of Partition Function Zeros in Finite Density QCD

机译:有限密度QCD中随机矩阵与分配函数零点的收敛性

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摘要

We apply the Glasgow method for lattice QCD at finite chemical potential to a schematic random matrix model (RMM). In this method the zeros of the partition function are obtained by averaging the coefficients of its expansion in powers of the chemical potential. In this paper we investigate the phase structure by means of Glasgow averaging and demonstrate that the method converges to the correct analytically known result. We conclude that the statistics needed for complete convergence grows exponentially with the size of the system, in our case, the dimension of the Dirac matrix. The use of an unquenched ensemble at We elucidate the phenomenon of a faster convergence of certain zeros of the partition function. The imprecision affecting the coefficients of the polynomial in the chemical potential can be interpeted as the appearance of a spurious phase. This phase dominates in the regions where the exact partition function is exponentially small, introducing additional phase boundaries, and hiding part of the true ones. The zeros along the surviving parts of the true boundaries remain unaffected.
机译:我们将格拉斯哥有限化学势的QCD方法应用于示意随机矩阵模型(RMM)。在这种方法中,分配函数的零点是通过将其化学势能的膨胀系数平均来获得的。在本文中,我们通过格拉斯哥平均研究相结构,并证明该方法收敛到正确的分析已知结果。我们得出结论,完全收敛所需的统计量随着系统的大小(在我们的情况下,狄拉克矩阵的维数)呈指数增长。我们使用了非猝灭的合奏来阐明分区函数的某些零更快收敛的现象。影响化学势中多项式系数的不精确度可以作为杂散相的出现而插入。该阶段在精确分配函数呈指数形式变小的区域中占主导地位,引入了其他阶段边界,并隐藏了部分真实边界。沿真实边界的剩余部分的零保持不受影响。

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