The transposition method in saddle-point problems
Abstract
The transposition method known from the theory of second-order elliptic partial differential equations is formulated for saddle-point problems under certain structural assumptions known from the Brezzi splitting plus mapping properties that reflect elliptic regularity in concrete instances of differential operators with boundary conditions. A framework is devised that grants approximation by standard, unmodified Galerkin-type methods, which may be nonconforming with respect to the more general data allowed by the transposed operator. That the data need not be regularized is an advantage particular to the saddle-point approach. Examples covered by the framework include the Laplacian, the Stokes operator, linear elasticity, the bi-Laplacian, and the stationary Maxwell problem with L2 boundary data.
Related
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BibTeX
@misc{gallistl2026transposition,
title = {{The transposition method in saddle-point problems}},
author = {Dietmar Gallistl and Zhen Liu},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.24478},
eprint = {2609.24478},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.24478},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - The transposition method in saddle-point problems
AU - Dietmar Gallistl
AU - Zhen Liu
PY - 2026
DA - 2026/09/21
PB - arXiv
DO - 10.48550/arxiv.2609.24478
UR - https://arxiv.org/abs/2609.24478
AB - The transposition method known from the theory of second-order elliptic partial differential equations is formulated for saddle-point problems under certain structural assumptions known from the Brezzi splitting plus mapping properties that reflect elliptic regularity in concrete instances of differential operators with boundary conditions. A framework is devised that grants approximation by standard, unmodified Galerkin-type methods, which may be nonconforming with respect to the more general data allowed by the transposed operator. That the data need not be regularized is an advantage particular to the saddle-point approach. Examples covered by the framework include the Laplacian, the Stokes operator, linear elasticity, the bi-Laplacian, and the stationary Maxwell problem with L^2 boundary data.
ER -