A principle of subsequences in probability theory: The central limit theorem
A principle of subsequences in probability theory: The central limit theorem
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概率论中的子序列原理:中心极限定理
DOI:
10.1016/0001-8708(74)90064-4
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发表时间:
1974
影响因子:
1.7
通讯作者:
S. D. Chatterji
中科院分区:
文献类型:
--
作者:
S. D. Chatterji
The purpose of this article is to establish in detail an important verification of the following general principle of subsequences which we have had occasion to formulate recently [5] and the appropriateness of which we have demonstrated at several places [2, 41. The general principle in question can be formulated as follows: if a certain quantitative asymptotic property n is valid for any sequence of independent, identically distributed random variables X, belonging to some integrability class determined by the finiteness of a norm 11*[IL, an analogous property+ will be valid for a suitable subsequence {f,} of any sequence F of functions on any probability space such that sup {(] fIIL: f Ef)< co. Moreover, the subsequence can be chosen in such a way that any further subsequence will have the same property+. When 7r is the Kolmogorov strong law of large number, the validity of the principle corresponds to a remarkable theorem of Komlbs [8] which states that from any norm-bounded sequence F in L1, a subsequence F, can be so extracted that any subsequence f, of F. will have the property that lim,,,(f,+*.*+ f,)/n exists ae and equals a function 01 E L1 which is independent of the particular subsequence fn of F,, under consideration.(Naturally, 01 depends on the choice of F,,). The property here differs from v in two respects. First, the limit function 01 is not necessarily a constant and second, the convergence of (fi+**.+ f,)/n to OL in L1 is not guaranteed. The fact remains, however, that Komlbs’ theorem is a clear illustration of the subsequence principle just mentioned. We have shown elsewhere [2, 4] that if r is taken to be the Marcinkiewicz generalization of Kolmogorov’s strong law, then 31