A Patchwise Local Fourier Extension Method for Function Approximation on General Two-Dimensional Domains
Zhenyu Zhao, Yanfei Wang

TL;DR
This paper introduces a patchwise local Fourier extension method for accurate function approximation on complex 2D domains, emphasizing localization, efficiency, and high accuracy.
Contribution
The paper presents a novel localized Fourier extension technique that improves computational efficiency and accuracy on general curved 2D domains with fixed local parameters.
Findings
Achieves high accuracy on smooth curved domains.
Online complexity scales linearly with the number of points.
Boundary correction significantly reduces boundary-induced errors.
Abstract
We propose a patchwise local Fourier extension method for approximating smooth functions on general two dimensional domains with curved boundaries. The domain is embedded into a Cartesian background grid and decomposed into rectangular interior patches and one-side curved trapezoidal boundary patches. After local data transfer, all patches are converted into fixed-size tensor-product arrays and approximated by a truncated-SVD stabilized local Fourier extension procedure. Unlike global Fourier frame approximations, the proposed method localizes both the geometry and the ill-conditioned extension process. For fixed local parameters, the local algebraic operations are performed on fixed-size systems, and the reference Fourier extension matrices and their singular value decompositions are reused across patches. Boundary patches require additional one-dimensional transfer or completion…
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