Analysis of the $hp$-version of a first order system least squares method for the Helmholtz equation
Maximilian Bernkopf, Jens Markus Melenk
TL;DR
This work analyzes the $L^2$ convergence of a first-order system least squares discretization for the Helmholtz equation with wavenumber $k$ on analytic domains. By refining a duality argument and developing $H(\operatorname{div})$-conforming $RT_p$ and $BDM_p$ approximation operators, the authors obtain an $L^2$ a priori error bound under the scale-resolution conditions $\frac{kh}{p}$ small and $\frac{p}{\log k}$ large, with improved $p$-dependence. The approach combines a detailed dual decomposition into analytic and highly regular components with $p$-optimal polynomial approximations on reference elements and Piola-transformed $H(\operatorname{div})$-conforming operators. Numerical experiments corroborate the theoretical hp-convergence behavior, illustrating the method’s potential for high-frequency Helmholtz problems and highlighting the trade-offs in degrees of freedom compared to standard $h$-FEM.
Abstract
Extending the wavenumber-explicit analysis of [Chen & Qiu, J. Comput. Appl. Math. 309 (2017)], we analyze the $L^2$-convergence of a least squares method for the Helmholtz equation with wavenumber $k$. For domains with an analytic boundary, we obtain improved rates in the mesh size $h$ and the polynomial degree $p$ under the scale resolution condition that $hk/p$ is sufficiently small and $p/\log k$ is sufficiently large.
