Complete moment convergence for the discrete Fourier transform of random fields

For a field { ๐‘‹ ๐ง , ๐ง โˆˆ โ„ค ๐‘‘ + } of random variables, by establishing some general moment inequalities, some results on the complete moment convergence for the discrete Fourier transform โˆ‘ ๐ค โชฏ ๐ง ๐‘’ ๐‘– โข ๐ค โ‹… ๐ญ โข ๐‘‹ ๐ค of random fields are obtained. The results improve the corresponding ones in the literature. Furthermore, we investigate some new case that was not addressed in the existing literature.

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Publication Details

Journal
Journal of Mathematical Analysis and Applications
Published
2026-09-14
DOI
https://doi.org/10.1016/j.jmaa.2026.131079
Primary Topic
Probability and Risk Models
Type
article
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Complete moment convergence for the discrete Fourier transform of random fields

Mengmei Xi, Yan Wang, Yi Wu, Xuejun Wang
Journal of Mathematical Analysis and Applications
Probability and Risk Models
article

Complete moment convergence for the discrete Fourier transform of random fields

Mengmei Xi, Yan Wang, Yi Wu, Xuejun Wang
article en

Abstract

For a field { ๐‘‹ ๐ง , ๐ง โˆˆ โ„ค ๐‘‘ + } of random variables, by establishing some general moment inequalities, some results on the complete moment convergence for the discrete Fourier transform โˆ‘ ๐ค โชฏ ๐ง ๐‘’ ๐‘– โข ๐ค โ‹… ๐ญ โข ๐‘‹ ๐ค of random fields are obtained. The results improve the corresponding ones in the literature. Furthermore, we investigate some new case that was not addressed in the existing literature.

Journal of Mathematical Analysis and ApplicationsVol. 566(2)
Anhui University (CN), Chizhou University (CN)
Reduced inequalities
Openalex Percentile: Top 6%
Probability and Risk Models
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