\wt\varphi混合随机变量序列的强收敛定律

Strong Convergence Laws for \wt\varphi-Mixing Sequences of Random Variables

  • 摘要: 本文建立了\wt\varphi混合随机变量序列的几乎处处收敛性和完全收敛性的结果. 所获结果不仅把独立随机变量经典的Khintchine-Kolmogorov收敛定理和三级数收敛定理推广至\wt\varphi混合随机变量情形下, 并在没有增加任何附加条件下改进了相关结果.

     

    Abstract: In this paper, the almost sure convergence and complete convergence for \wt\varphi-mixing random variables are established. The results obtained not only extend and generalize the classical Khintchine-Kolmogorov Convergence Theorem, the Three Series Theorem for independent random variables to the case of \wt\varphi-mixing random variables, but also improve the relevant results without necessarily adding any extra any conditions.

     

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