On Mean Convergence of Random Fourier - Hermite Series

B. Mangaraj, Sabita Sahoo, Phd Scholar
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Abstract

The work in this article is an initiative to explore random Fourier - Hermite series in orthogonal Hermite polynomials. We choose the random coefficients in the series to be the Fourier-Hermite coefficients of a symmetric stable process with weight function , where . The existence of these random coefficients, which we find to be dependent random variables, is established. The random Fourier-Hermite series is proven to be convergent in the sense of mean if the scalars in the series are the Fourier-Hermite coefficients of a function  in the weighted space , where the weights are given by  with  such that . The sum functions of the series is obtained to the stochastic integral .
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论随机傅立叶-赫米特数列的平均收敛性
本文的工作是探索正交赫米特多项式中的随机傅里叶-赫米特级数。我们选择序列中的随机系数为对称稳定过程的傅里叶-赫米特系数,其权重函数为 。这些随机系数的存在性已经确定,我们发现它们是依存随机变量。如果数列中的标量是加权空间中函数 , 的傅里叶-赫米特系数,其中权重由 , 给出,则随机傅里叶-赫米特数列在均值意义上是收敛的。数列的和函数求随机积分 .
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