Diagonal recovery from noisy Fourier--Hermite coefficients: exact orders of the error
Abstract
We consider the recovery of functions of the weighted Wiener classes Wsμ from perturbed Fourier--Hermite coefficients in the metric of L∞(ℝ). For the summation methods of the class 𝒮θ we find error estimates on Wsμ. The estimates take into account the behaviour of the Hermite functions both in the oscillatory region and near the turning point: the maxima of functions with different indices are attained at different points, and the supremum of a sum over a block of indices is substantially smaller than the sum of the suprema. Owing to this, in particular, we establish a common lower bound for all finite diagonal methods; for s≠4/3 and p≠4/3 it matches the upper bound and gives the exact order of the error in this class, while at the critical points the gap between the bounds does not exceed (log(e/δ))1/4 up to a constant. If, in addition, s>4/3 or p<4/3, then this order is also optimal among all recovery operators that use the whole sequence of data.
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BibTeX
@misc{solodky2026diagonal,
title = {{Diagonal recovery from noisy Fourier--Hermite coefficients: exact orders of the error}},
author = {S. G. Solodky and Y. A. Volynets},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.15610},
eprint = {2610.15610},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.15610},
note = {CC0},
}
RIS
TY - UNPB
TI - Diagonal recovery from noisy Fourier--Hermite coefficients: exact orders of the error
AU - S. G. Solodky
AU - Y. A. Volynets
PY - 2026
DA - 2026/10/11
PB - arXiv
DO - 10.48550/arxiv.2610.15610
UR - https://arxiv.org/abs/2610.15610
AB - We consider the recovery of functions of the weighted Wiener classes W_s^μ from perturbed Fourier--Hermite coefficients in the metric of L_∞(ℝ). For the summation methods of the class 𝒮^θ we find error estimates on W_s^μ. The estimates take into account the behaviour of the Hermite functions both in the oscillatory region and near the turning point: the maxima of functions with different indices are attained at different points, and the supremum of a sum over a block of indices is substantially smaller than the sum of the suprema. Owing to this, in particular, we establish a common lower bound for all finite diagonal methods; for s≠4/3 and p≠4/3 it matches the upper bound and gives the exact order of the error in this class, while at the critical points the gap between the bounds does not exceed (log(e/δ))^1/4 up to a constant. If, in addition, s>4/3 or p<4/3, then this order is also optimal among all recovery operators that use the whole sequence of data.
ER -