随机测量路径的规律性

Vadym Radchenko
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引用次数: 0

摘要

考虑了由随机测量值生成的随机函数 $\mu(x)$。证明了 $\mu(x)$, $x\in[0,1]^d$ 的连续路径的贝索夫正则性。得到了 $\mu(x)$, $x\in[0,2\pi]$ 的傅里叶级数展开。这些结果是在比以前论文中类似结果更弱的条件下证明的。
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Regularity of paths of stochastic measures
Random functions $\mu(x)$, generated by values of stochastic measures are considered. The Besov regularity of the continuous paths of $\mu(x)$, $x\in[0,1]^d$ is proved. Fourier series expansion of $\mu(x)$, $x\in[0,2\pi]$ is obtained. These results are proved under weaker conditions than similar results in previous papers.
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