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Precise Rates in the Law of Iterated Logarithm for the Moment of I.I.D. Random Variables
作者姓名:Ye  JIANG  Li  Xin  ZHANG
作者单位:[1]College of Business and Administration, Zhejiang University of Technology Hangzhou 310014, P. R. China [2]Department of Mathematics, Zhejiang University, Hangzhou 310028, P. R. China
基金项目:Research supported by National Nature Science Foundation of China: 10471126
摘    要:Let{X,Xn;n≥1} be a sequence of i,i.d, random variables, E X = 0, E X^2 = σ^2 〈 ∞.Set Sn=X1+X2+…+Xn,Mn=max k≤n│Sk│,n≥1.Let an=O(1/loglogn).In this paper,we prove that,for b〉-1,lim ε→0 →^2(b+1)∑n=1^∞ (loglogn)^b/nlogn n^1/2 E{Mn-σ(ε+an)√2nloglogn}+σ2^-b/(b+1)(2b+3)E│N│^2b+3∑k=0^∞ (-1)k/(2k+1)^2b+3 holds if and only if EX=0 and EX^2=σ^2〈∞.

关 键 词:切断法  随意变量  叠对数定律  序列
收稿时间:2003-10-20
修稿时间:2003-10-202004-06-04

Precise Rates in the Law of Iterated Logarithm for the Moment of I.I.D. Random Variables
Ye JIANG Li Xin ZHANG.Precise Rates in the Law of Iterated Logarithm for the Moment of I.I.D. Random Variables[J].Acta Mathematica Sinica,2006,22(3):781-792.
Authors:Ye Jiang  Li Xin Zhang
Institution:(1) College of Business and Administration, Zhejiang University of Technology, Hangzhou 310014, P. R. China;(2) Department of Mathematics, Zhejiang University, Hangzhou 310028, P. R. China
Abstract:Let {X,X n ; n ≥ 1} be a sequence of i.i.d. random variables, EX = 0, EX 2 = σ 2 < ∞. Set S n = X 1 + X 2 + ⋯ + X n , M n = max kn S k ∣, n ≥ 1. Let a n = O(1/ log log n). In this paper, we prove that, for b > −1,
$$
\begin{aligned}
  & {\mathop {\lim }\limits_{\varepsilon  \searrow 0} }\varepsilon ^{{2{\left( {b + 1} \right)}}} {\sum\limits_{n = 1}^\infty  {\frac{{{\left( {\log \log n} \right)}^{b} }}
{{n\log n}}} }n^{{ - 1 \mathord{\left/
 {\vphantom {1 2}} \right.
 \kern-\nulldelimiterspace} 2}} {\rm E}{\left\{ {M_{n}  - \sigma {\left( {\varepsilon  + a_{n} } \right)}{\sqrt {2n\log \log n} }} \right\}} +  \\
 &  = \frac{{\sigma 2^{{ - b}} }}
{{{\left( {b + 1} \right)}{\left( {2b + 3} \right)}}}{\rm E}{\left| N \right|}^{{2b + 3}} {\sum\limits_{k = 0}^\infty  {\frac{{{\left( { - 1} \right)}^{k} }}
{{{\left( {2k + 1} \right)}^{{2b + 3}} }}} } \\ 
 \end{aligned} 
$$
holds if and only if EX = 0 and EX 2 = σ 2 < ∞. Research supported by National Nature Science Foundation of China: 10471126
Keywords:the law of iterated logarithm  strong approximation  truncation method  i  i  d  random variables
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