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Algorithms associated with arithmetic, geometric and harmonic means and integrable systems

机译:与算术,几何和调和均值及可积分系统相关的算法

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摘要

Gauss' algorithm for arithmetic-geometric mean (AGM) can be regarded as a discrete-time integrable dynamical system having an elliptic theta function solution and a conserved quantity. In this paper we consider algorithms associated with arithmetic, geometric and harmonic means from a viewpoint of integrable systems. First, a max-plus limit and its inverse limit of the AGM algorithm are discussed. These mean operations are shown to be connected to each other by the max-plus limit. Secondly, continous-time dynamical systems associated with the arithmetic-harmonic mean (AHM) algorithm are found. Thirdly, it is that the AHM algorithm in indefinite case has a chaotic dynamics and is a generator of numbers which obey the Cauchy distribution. Finally, an extension of the AHM algorithm to the space of positive-definite symmetric matrices is considered.
机译:高斯算术几何平均值算法(AGM)可以被视为具有椭圆theta函数解和守恒量的离散时间可积分动力系统。在本文中,我们从可积系统的角度考虑了与算术,几何和调和均值相关的算法。首先,讨论了AGM算法的最大极限及其逆极限。这些平均操作显示为通过最大加极限相互连接。其次,找到了与算术谐波平均算法相关的连续时间动力系统。第三,它是不确定情况下的AHM算法,具有混沌动力学特性,是服从柯西分布的数字生成器。最后,考虑将AHM算法扩展到正定对称矩阵的空间。

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