Besov regularity of random wavelet series

2024/11/27 by Andreas Horst, Horst, Andreas, Thomas R. Jahn +3
Computer Science · Mathematics · #Advanced Harmonic Analysis Research #FOS: Mathematics #Functional Analysis (math.FA) #Image and Signal Denoising Methods #Mathematical Analysis and Transform Methods #Probability (math.PR)

paper · pdf · doi:10.48550/arxiv.2411.18155

openalex publication_date 2024/11/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We study the Besov regularity of wavelet series on ℝ^d with randomly chosen coefficients. More precisely, each coefficient is a product of a random factor and a parameterized deterministic factor (decaying with the scale j and the norm of the shift m). Compared to the literature, we impose relatively mild conditions on the moments of the random variables in order to characterize the almost sure convergence of the wavelet series in Besov spaces B^s_p,q(ℝ^d) and the finiteness of the moments as well as of the moment generating function of the Besov norm. In most cases, we achieve a complete characterization, i.e., the derived conditions are both necessary and sufficient.

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