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arXiv 0810.4622math-phmath.MP
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负曲率统计流形上的信息几何与混沌

Information Geometry and Chaos on Negatively Curved Statistical Manifolds

Carlo Cafaro

摘要:

提出了一种基于熵动力学(ED)的弯曲统计流形上混沌动力学的信息几何方法。此外,提出了Zurek-Paz量子混沌判据的信息几何模拟。结果表明,在描述3 N个非相互作用自由度的任意系统的ED高斯模型下,非最大对称的6 N维统计流形M_{s}的双曲性分别导致信息几何熵的线性增长和Jacobi矢量场强度的指数发散,以及混沌的量子和经典特征.

英文摘要:

A novel information-geometric approach to chaotic dynamics on curved statistical manifolds based on Entropic Dynamics (ED) is suggested. Furthermore, an information-geometric analogue of the Zurek-Paz quantum chaos criterion is proposed. It is shown that the hyperbolicity of a non-maximally symmetric 6N-dimensional statistical manifold M_{s} underlying an ED Gaussian model describing an arbitrary system of 3N non-interacting degrees of freedom leads to linear information-geometric entropy growth and to exponential divergence of the Jacobi vector field intensity, quantum and classical features of chaos respectively.

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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