Exponential meshes and $\mathcal{H}$-matrices
Niklas Angleitner, Markus Faustmann, Jens Markus Melenk
TL;DR
This work extends exponential-in-block-rank approximability results for inverses of FEM stiffness matrices to a broader class of strongly graded meshes, including exponentially graded meshes, while making the dependence on the polynomial degree $p$ explicit. The authors develop polynomial-preserving liftings and projections, refine the cut-off and Caccioppoli inequality arguments, and replace previous delta-based constraints with an axis-parallel-box framework to achieve p-explicit, mesh-graded-invariant bounds. They prove that there exists an ${\mathcal{H}}$-matrix approximation $\boldsymbol{B}$ to $\boldsymbol{A}^{-1}$ with an error bound $\|\boldsymbol{A}^{-1}-\boldsymbol{B}\|_{2}$ that decays like $\exp(-\sigma_{\mathrm{exp}} r^{1/(d+1)} p^{-\sigma_{\mathrm{red}}})$, up to factors depending on mesh parameters and dimension. The results enable scalable, data-sparse solutions of high-order FEM systems on complex graded meshes and are supported by numerical experiments showing rapid convergence in practice.
Abstract
In our previous works, we proved that the inverse of the stiffness matrix of an $h$-version finite element method (FEM) applied to scalar second order elliptic boundary value problems can be approximated at an exponential rate in the block rank by $\mathcal{H}$-matrices. Here, we improve on this result in multiple ways: (1) The class of meshes is significantly enlarged and includes certain exponentially graded meshes. (2) The dependence on the polynomial degree $p$ of the discrete ansatz space is made explicit in our analysis. (3) The bound for the approximation error is sharpened, and (4) the proof is simplified.
