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PreprintCC BY-NC-SA 4.0arXiv

A Multigrid Method for CutFEM and its Convergence

Abstract

We develop a convergence theory for geometric multigrid with vertex-patch smoothers applied to cut finite element discretizations of the Poisson problem. The framework addresses non-inherited level forms and the mismatch between the physical and active domains. Using the discrete extension property, we prove two-level convergence bounds uniform in the mesh size and the cut geometry, and W-cycle bounds under an additional smallness assumption on the two-level rate. The numerical experiments intentionally use the stronger V-cycle, for which no convergence bound is claimed here. The convergence constants degrade with the degree p. Lowering the ghost penalty improves iteration counts. An aligned two-cell model exhibits a semidefiniteness threshold of order p−2, whereas the visibility scale of a degree-p cut mode decreases exponentially. Experiments at the model threshold reduce the iteration counts, but do not establish an assembled-operator threshold.

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BibTeX
@misc{wichrowski2026multigrid,
  title = {{A Multigrid Method for CutFEM and its Convergence}},
  author = {Michal Wichrowski},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.04067},
  eprint = {2609.04067},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.04067},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - A Multigrid Method for CutFEM and its Convergence
AU  - Michal Wichrowski
PY  - 2026
DA  - 2026/09/03
PB  - arXiv
DO  - 10.48550/arxiv.2609.04067
UR  - https://arxiv.org/abs/2609.04067
AB  - We develop a convergence theory for geometric multigrid with vertex-patch smoothers applied to cut finite element discretizations of the Poisson problem. The framework addresses non-inherited level forms and the mismatch between the physical and active domains. Using the discrete extension property, we prove two-level convergence bounds uniform in the mesh size and the cut geometry, and W-cycle bounds under an additional smallness assumption on the two-level rate. The numerical experiments intentionally use the stronger V-cycle, for which no convergence bound is claimed here. The convergence constants degrade with the degree p. Lowering the ghost penalty improves iteration counts. An aligned two-cell model exhibits a semidefiniteness threshold of order p^−2, whereas the visibility scale of a degree-p cut mode decreases exponentially. Experiments at the model threshold reduce the iteration counts, but do not establish an assembled-operator threshold.
ER  -