有限非交换几何的谱估计
Spectral estimators for finite non-commutative geometries
摘要：
有限非交换几何由一个模糊空间和一个满足实谱三元组公理的狄拉克算子组成。本文讨论了如何从狄拉克算子的谱中提取这些几何信息的问题。由于狄拉克算子是一个有限维矩阵，通常的本征值的渐近性没有意义，取而代之的是在一个有限的能量尺度上的谱的测量。本文改进了Dirac算子平方的谱维数，给出了一种新的空间维数谱测度，称为谱方差。类似地，一旦知道维度，就可以从谱计算空间的体积。这样做的两种方法进行了研究：著名的Dixlitsa跟踪和最近的改进，由于阿贝尔斯特恩。最后，两种几何之间的距离进行了研究，通过比较的光谱zeta函数使用Cornelissen和Kontogeorgis的方法。所有这些技术进行了测试的模糊球和模糊环面，这可以被视为通常的黎曼球和平坦环面的近似的明确的例子。然后，他们被应用到一些随机模糊空间使用由蒙特卡罗模拟产生的数据。
英文摘要：
A finite non-commutative geometry consists of a fuzzy space together with a Dirac operator satisfying the axioms of a real spectral triple. This paper addreses the question of how to extract information about these geometries from the spectrum of the Dirac operator. Since the Dirac operator is a finite-dimensional matrix, the usual asymptotics of the eigenvalues makes no sense and is replaced by measurements of the spectrum at a finite energy scale. The spectral dimension of the square of the Dirac operator is improved to provide a new spectral measure of the dimension of a space called the spectral variance. Similarly, the volume of a space can be computed from the spectrum once the dimension is known. Two methods of doing this are investigated: the well-known Dixmier trace and a recent improvement due to Abel Stern. Finally, the distance between two geometries is investigated by comparing the spectral zeta functions using the method of Cornelissen and Kontogeorgis. All of these techniques are tested on the explicit examples of the fuzzy spheres and fuzzy tori, which can be regarded as approximations of the usual Riemannian sphere and flat tori. Then they are applied to characterise some random fuzzy spaces using data generated by a Monte Carlo simulation.
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