Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound

Fuente: arXiv
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Main Authors: Gallistl, Dietmar, Hauck, Moritz, Liang, Yizhou, Peterseim, Daniel
Format: Preprint
Published: 2024
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author Gallistl, Dietmar
Hauck, Moritz
Liang, Yizhou
Peterseim, Daniel
author_facet Gallistl, Dietmar
Hauck, Moritz
Liang, Yizhou
Peterseim, Daniel
contents We establish an a priori error analysis for the lowest-order Raviart-Thomas finite element discretisation of the nonlinear Gross-Pitaevskii eigenvalue problem. Optimal convergence rates are obtained for the primal and dual variables as well as for the eigenvalue and energy approximations. In contrast to conformal approaches, which naturally imply upper energy bounds, the proposed mixed discretisation provides a guaranteed and asymptotically exact lower bound for the ground state energy. The theoretical results are illustrated by a series of numerical experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2402_06311
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound
Gallistl, Dietmar
Hauck, Moritz
Liang, Yizhou
Peterseim, Daniel
Numerical Analysis
65N12, 65N15, 65N25, 65N30
We establish an a priori error analysis for the lowest-order Raviart-Thomas finite element discretisation of the nonlinear Gross-Pitaevskii eigenvalue problem. Optimal convergence rates are obtained for the primal and dual variables as well as for the eigenvalue and energy approximations. In contrast to conformal approaches, which naturally imply upper energy bounds, the proposed mixed discretisation provides a guaranteed and asymptotically exact lower bound for the ground state energy. The theoretical results are illustrated by a series of numerical experiments.
title Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound
topic Numerical Analysis
65N12, 65N15, 65N25, 65N30
url https://arxiv.org/abs/2402.06311