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On-line Access: 2024-08-27
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A note on strong law of large numbers of random variables
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LIN Zheng-yan, SHEN Xin-mei. A note on strong law of large numbers of random variables[J]. Journal of Zhejiang University Science A, 2006, 7(6): 1088-1091.
@article{title="A note on strong law of large numbers of random variables",
author="LIN Zheng-yan, SHEN Xin-mei",
journal="Journal of Zhejiang University Science A",
volume="7",
number="6",
pages="1088-1091",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1088"
}
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%A LIN Zheng-yan
%A SHEN Xin-mei
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%@ 1673-565X
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1088
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T1 - A note on strong law of large numbers of random variables
A1 - LIN Zheng-yan
A1 - SHEN Xin-mei
J0 - Journal of Zhejiang University Science A
VL - 7
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SP - 1088
EP - 1091
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1088
Abstract: In this paper, the Chung’s strong law of large numbers is generalized to the random variables which do not need the condition of independence, while the sequence of Borel functions verifies some conditions weaker than that in Chung’s theorem. Some convergence theorems for martingale difference sequence such as Lp martingale difference sequence are the particular cases of results achieved in this paper. Finally, the convergence theorem for A-summability of sequence of random variables is proved, where A is a suitable real infinite matrix.
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[3] Chung, K.L., 1974. A Course in Probability Theory, 2nd Ed. Academic Press, New York, p.109-130.
[4] Jardas, C., Pečarić, J., Sarapa, N., 1998. A note on Chung’s strong law of large numbers. J. Math. Ana. Appl., 217(1):328-334.
[5] Petrov, V.V., 1975. Sums of Independent Random Variables. Springer, New York, p.263-268.
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