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arXiv physics/0612198physics.data-anphysics.bio-ph
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基于互信息的有限数据复杂系统相变识别

Mutual Information as a Tool for Identifying Phase Transitions in Dynamical Complex Systems With Limited Data

R. T. Wicks, S. C. Chapman, R. O. Dendy

摘要:

我们使用一个众所周知的模型(T。Vicsek等人,Phys Rev Lett 15,1226(1995)),用于群集以测试互信息作为用于检测有序-无序转变的工具,特别是当系统的观测有限时。我们表明,互信息是一个敏感的指标的相变的位置,在自然的无量纲参数的系统,我们已经确定。当仅跟踪少数粒子时,并且当仅位置和速度分量的子集可用时,互信息提供了比数据的磁化率更好的相变位置的测量。

英文摘要:

We use a well known model (T. Vicsek et al. Phys Rev Lett 15, 1226 (1995)) for flocking to test mutual information as a tool for detecting order-disorder transitions, in particular when observations of the system are limited. We show that mutual information is a sensitive indicator of the phase transition location, in terms of the natural dimensionless parameters of the system which we have identified. When only a few particles are tracked, and when only a subset of the positional and velocity components are available, mutual information provides a better measure of the phase transition location than the susceptibility of the data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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