Diagonal recovery from noisy Fourier--Hermite coefficients: exact orders of the error
S. G. Solodky, Y. A. Volynets
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 s4/3 and p4/3 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 ((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.
Create a lesson
Related papers
Neural Network Preconditioning: A Case Study for the Solution of the Parametric Helmholtz Equation
Luc Giraud, Carola Kruse, Paul Mycek et al.
On the cyclic limiting behavior of the restarted Arnoldi algorithm for real symmetric matrices with restart length s=2
Vance Faber, Jarek Liesen, Jörg Liesen et al.
An algebraic multiscale framework for two-level overlapping Schwarz preconditioners
Filipe Cumaru, Hadi Hajibeygi, Cornelis Vuik et al.
Stable Matrix-Free Q-less QR via Preconditioning and Randomization
Oleg Balabanov, Maksim Melnichenko, Michael W. Mahoney
High-order uniformly accurate fully discrete schemes with long time near-conservations for two nonlinear coupled dispersive models in the nonrelativistic regime
Lina Wang, Jiyong Li, Bin Wang
CLNO: Conservative Local Neural Operator for Compressible Flow Prediction
Buxuan Wang, Rongzu Li, Qingsong Zou