Vortex-capturing multiscale spaces for the Ginzburg-Landau equation
<|reference_start|>Vortex-capturing multiscale spaces for the Ginzburg-Landau equation: This paper considers minimizers of the Ginzburg-Landau energy functional in particular multiscale spaces which are based on finite elements. The spaces are constructed by localized orthogonal decomposition techniques and their usage for solving the Ginzburg-Landau equation was first suggested in [D\"orich, Henning, SINUM 2024]. In this work we further explore their approximation properties and give an analytical explanation for why vortex structures of energy minimizers can be captured more accurately in these spaces. We quantify the necessary mesh resolution in terms of the Ginzburg-Landau parameter $\kappa$ and a stabilization parameter $\beta \ge 0$ that is used in the construction of the multiscale spaces. Furthermore, we analyze how $\kappa$ affects the necessary locality of the multiscale basis functions and we prove that the choice $\beta=0$ yields typically the highest accuracy. Our findings are supported by numerical experiments.<|reference_end|>
@article{blum2024vortex-capturing,
    title={Vortex-capturing multiscale spaces for the Ginzburg-Landau equation},
    author={Maria Blum, Christian D"oding, Patrick Henning},
    journal={arXiv preprint arXiv:2405.14772},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.14772},
    primaryClass={math.NA cs.NA}
}