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Periodic Orbit Theory AND Spectral Statistics for Quantum Graphs

机译:量子图的周期轨道理论与光谱统计

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We quantize graphs (networks) which consist of a finite number of bonds and vertices. We show that the spectral statistics of fully connected graphs is well reproduced by random matrix theory. We also define a classical phase space for the graphs, where the dynamics is mixing and the periodic orbits proliferate exponentially. An exact trace formula for the quantum spectrum is developed in terms of the same periodic orbits, and it is used to investigate the origin of the connection between random matrix theory and the underlying chaotic classical dynamics. Being an exact theory, and due to its relative simplicity, it offers new insights into this problem which is at the forefront of the research in quantum chaos and related fields.
机译:我们量化由有限数量的键和顶点组成的图(网络)。我们显示完全连接图的频谱统计数据可以通过随机矩阵理论很好地再现。我们还为图定义了经典的相空间,其中动力学是混合的,周期轨道呈指数增长。针对相同的周期性轨道,开发了一个精确的量子谱跟踪公式,用于研究随机矩阵理论与底层混沌经典动力学之间联系的起源。作为一种精确的理论,并且由于其相对简单性,它提供了对该问题的新见解,这是量子混沌及其相关领域研究的前沿。

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