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arXiv 1003.1445math-phmath.MPphysics.gen-ph
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正则图(II)上离散拉普拉斯算子的迹公式和谱统计

Trace Formulae and Spectral Statistics for Discrete Laplacians on Regular Graphs (II)

Idan Oren, Uzy Smilansky

摘要:

继本系列第一篇论文中迹公式的推导之后,我们在这里建立了随机正则图的谱统计与随机矩阵理论(RMT)的预测之间的联系。这是从已知的泊松分布的周期计数在定期图,在限制,周期保持不变,顶点的数量无限增加。其结果类似于量子混沌中所谓的“对角近似”。我们还表明,通过假设的谱相关性给出的RMT的所有订单,我们可以计算的泊松分布的周期计数的领先偏差。我们提供了支持这一猜想的数值证据。

英文摘要:

Following the derivation of the trace formulae in the first paper in this series, we establish here a connection between the spectral statistics of random regular graphs and the predictions of Random Matrix Theory (RMT). This follows from the known Poisson distribution of cycle counts in regular graphs, in the limit that the cycle periods are kept constant and the number of vertices increases indefinitely. The result is analogous to the so called "diagonal approximation" in Quantum Chaos. We also show that by assuming that the spectral correlations are given by RMT to all orders, we can compute the leading deviations from the Poisson distribution for cycle counts. We provide numerical evidence which supports this conjecture.

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