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arXiv 1303.3029math.PR
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随机过程的逼近与连续理论

Theory of approximation and continuity of random processes

E. Ostrovsky, L. Sirota

摘要:

本文提出并研究了逼近论中的一个新概念--退化逼近,即用退化函数(核)逼近二元(或多元)函数(核)。本文将所得结果应用于随机过程的局部结构的研究,例如,在连续函数空间中,我们找到了高斯过程和非高斯过程连续的充要条件,一类随机过程弱紧性和收敛的条件,特别是中心极限定理.为了说明所证明定理的正确性,我们也给出了许多例子。

英文摘要:

We introduce and investigate a new notion of the theory of approximation-the so-called degenerate approximation, i.e. approximation of the function of two (and more) variables (kernel) by means of degenerate function (kernel). We apply obtained results to the investigation of the local structure of random processes, for example, we find the necessary and sufficient condition for continuity of Gaussian and non-Gaussian processes, some conditions for weak compactness and convergence of a family of random processes, in particular, for Central Limit Theorem in the space of continuous functions. We give also many examples in order to illustrate the exactness of proved theorems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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