弯曲统计流形上信息的几何动力学及其在混沌中的应用
Geometrodynamics of Information on Curved Statistical Manifolds and its Applications to Chaos
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动力学方法(IGAC),并给出了作为混沌性度量的信息几何动力学熵(IGE)的新定义.一般的经典形式主义是说明在一个相对简单的例子。结果表明,在描述3 N自由度系统的ED高斯模型下,非最大对称的6 N维统计流形M_{s}的双曲性导致了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.提出了经典可逆极限下Zurek-Paz量子混沌判据的信息几何模拟。这种类比说明应用IGAC的一组n-非耦合的三维各向异性的倒谐波振荡器,其特征在于由欧姆分布的频谱。
英文摘要:
A novel information-geometrodynamical approach to chaotic dynamics (IGAC) on curved statistical manifolds based on Entropic Dynamics (ED) is presented and a new definition of information geometrodynamical entropy (IGE) as a measure of chaoticity is proposed. The general classical formalism is illustrated in a relatively simple example. 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 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. An information-geometric analogue of the Zurek-Paz quantum chaos criterion in the classical reversible limit is proposed. This analogy is illustrated applying the IGAC to a set of n-uncoupled three-dimensional anisotropic inverted harmonic oscillators characterized by a Ohmic distributed frequency spectrum.
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