Measures of chaos and a spectral decomposition of dynamical systems on the interval

Measures of chaos and a spectral decomposition of dynamical systems on the interval
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DOI:
10.1090/s0002-9947-1994-1227094-x
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发表时间:
1994-02
影响因子:
1.3
通讯作者:
B. Schweizer;J. Smítal
B. Schweizer;J. Smítal
中科院分区:
数学1区
文献类型:
--
作者:
B. Schweizer;J. Smítal

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设f:[0,1] -+ [0,1]是连续的。对于x,y E [0,1],上和下(距离)分布函数Fx*y和Fxy对于任何t > 0被定义为在前n次迭代期间x和y的轨迹之间的距离Ifi(x)fi(y)I小于t的平均次数的lim sup和lim inf。f的谱是系统吗?(f)的低分布函数的特征在于以下性质:(1)元素?(f)是相互不可比的;(2)对于任何F E?(f)(3)如果S是f的一个加扰集,则存在F,G在?(f)以及分解S = SF U SG(SG可以是空的),使得如果u,v E SF,则FUV > F,并且如果u,v E SG,则FUV > G。我们的主要结果是:(1)若f有正拓扑熵,则?(f)是非空的有限的,任何F E?(f)在区间[0,e]上为零,其中e > 0(因此任何PF都是Li和Yorke意义上的加扰集)。(2)如果f的拓扑熵为零,那么?(f)= {F},其中F 1。因此,f的谱提供了f的混沌程度的度量。此外,一个有用的数值措施是最大的数字fo(1 F(t))dt,其中F E?(f).
Let f: [0, 1] -+ [0, 1] be continuous. For x, y E [0, 1], the upper and lower (distance) distribution functions, Fx*y and Fxy, are defined for any t > 0 as the lim sup and lim inf as n -+ oc of the average number of times that the distance Ifi (x) fi(y)I between the trajectories of x and y is less than t during the first n iterations. The spectrum of f is the system ?(f) of lower distribution functions which is characterized by the following properties: (1) The elements of ?(f) are mutually incomparable; (2) for any F E ?(f), there is a perfect set PF #8 0 such that FUV = F and FUV 1 for any distinct u, v E PF; (3) if S is a scrambled set for f, then there are F, G in ?(f) and a decomposition S = SF U SG (SG may be empty) such that FUV > F if u, v E SF and FUV > G if u, v E SG . Our principal results are: (1) If f has positive topological entropy, then ?(f) is nonempty and finite, and any F E ?(f) is zero on an interval [0, e], where e > 0 (and hence any PF is a scrambled set in the sense of Li and Yorke). (2) If f has zero topological entropy, then ?(f) = {F} where F 1. It follows that the spectrum of f provides a measure of the degree of chaos of f . In addition, a useful numerical measure is the largest of the numbers fo(1 F(t))dt, where F E ?(f).