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
复制标题
DOI:
10.1090/s0002-9947-1994-1227094-x
复制
发表时间:
1994-02
影响因子:
1.3
通讯作者:
B. Schweizer;J. Smítal
中科院分区:
文献类型:
--
作者:
B. Schweizer;J. Smítal
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).