Optimal error analysis of an interior penalty virtual element method for fourth-order singular perturbation problems
Fang Feng, Yuanyi Sun, Yue Yu

TL;DR
This paper proves that an interior penalty virtual element method achieves optimal, uniform error estimates for fourth-order singular perturbation problems, improving upon previous suboptimal convergence rates.
Contribution
The paper establishes the optimal and uniform error estimates of IPVEM for singular perturbation problems, even with boundary layers, supported by numerical validation.
Findings
IPVEM achieves optimal, uniform error estimates.
Numerical experiments confirm theoretical error bounds.
Method effectively handles boundary layers in singular perturbation problems.
Abstract
In recent studies \cite{ZZ24, FY24}, the Interior Penalty Virtual Element Method (IPVEM) has been developed for solving a fourth-order singular perturbation problem, with uniform convergence established in the lowest-order case concerning the perturbation parameter. However, the resulting uniform convergence rate is only of half-order, which is suboptimal. In this work, we demonstrate that the proposed IPVEM in fact achieves optimal and uniform error estimates, even in the presence of boundary layers. The theoretical results are substantiated through extensive numerical experiments, which confirm the validity of the error estimates and highlight the method's effectiveness for singularly perturbed problems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
