复三阶随机张量的带符号特征值/向量分布

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Naoki Sasakura
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引用次数: 0

摘要

我们通过计算四费米理论的分区函数来计算复数三阶随机张量的特征值/向量的符号分布,其中符号来自与每个特征向量相关的黑森行列式。特征向量存在连续变性的问题通过量规固定得到了妥善处理。最终表达式由生成函数紧凑表示,生成函数的幂级数是张量索引空间的维数。我们通过蒙特卡罗模拟进行了交叉检验。通过大 N 极限,我们得到了一个临界点,在该临界点上,有符号分布的行为发生了质的变化,同时也得到了有符号分布的终点。有符号分布末端与真实分布末端的预期一致提供了一些应用,如最大特征值、纠缠的几何度量以及大 N 极限中的最佳秩一近似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Signed eigenvalue/vector distribution of complex order-three random tensor
We compute the signed distribution of the eigenvalues/vectors of the complex order-three random tensor by computing a partition function of a four-fermi theory, where signs are from a Hessian determinant associated to each eigenvector. The issue of the presence of a continuous degeneracy of the eigenvectors is properly treated by a gauge-fixing. The final expression is compactly represented by a generating function, which has an expansion whose powers are the dimensions of the tensor index spaces. A crosscheck is performed by Monte Carlo simulations. By taking the large-N limit we obtain a critical point where the behavior of the signed distribution qualitatively changes, and also the end of the signed distribution. The expected agreement of the end of the signed distribution with that of the genuine distribution provides a few applications, such as the largest eigenvalue, the geometric measure of entanglement, and the best rank-one approximation in the large-N limit.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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