English

A unified framework for multiscale spectral generalized FEMs and low-rank approximations to multiscale PDEs

Numerical Analysis 2024-12-18 v3 Numerical Analysis

Abstract

This work presents an abstract framework for the design, implementation, and analysis of the multiscale spectral generalized finite element method (MS-GFEM), a particular numerical multiscale method originally proposed in [I. Babuska and R. Lipton, Multiscale Model.\;\,Simul., 9 (2011), pp.~373--406]. MS-GFEM is a partition of unity method employing optimal local approximation spaces constructed from local spectral problems. We establish a general local approximation theory demonstrating exponential convergence with respect to local degrees of freedom under certain assumptions, with explicit dependence on key problem parameters. Our framework applies to a broad class of multiscale PDEs with LL^{\infty}-coefficients in both continuous and discrete, finite element settings, including highly indefinite problems (convection-dominated diffusion, as well as the high-frequency Helmholtz, Maxwell and elastic wave equations with impedance boundary conditions), and higher-order problems. Notably, we prove a local convergence rate of O(ecn1/d)O(e^{-cn^{1/d}}) for MS-GFEM for all these problems, improving upon the O(ecn1/(d+1))O(e^{-cn^{1/(d+1)}}) rate shown by Babuska and Lipton. Moreover, based on the abstract local approximation theory for MS-GFEM, we establish a unified framework for showing low-rank approximations to multiscale PDEs. This framework applies to the aforementioned problems, proving that the associated Green's functions admit an O(logϵd)O(|\log\epsilon|^{d})-term separable approximation on well-separated domains with error ϵ>0\epsilon>0. Our analysis improves and generalizes the result in [M. Bebendorf and W. Hackbusch, Numerische Mathematik, 95 (2003), pp.~1-28] where an O(logϵd+1)O(|\log\epsilon|^{d+1})-term separable approximation was proved for Poisson-type problems.

Keywords

Cite

@article{arxiv.2311.08761,
  title  = {A unified framework for multiscale spectral generalized FEMs and low-rank approximations to multiscale PDEs},
  author = {Chupeng Ma},
  journal= {arXiv preprint arXiv:2311.08761},
  year   = {2024}
}