On optimal convergence rates for discrete minimizers of the Gross-Pitaevskii energy in LOD spaces
Patrick Henning, Anna Persson

TL;DR
This paper proves optimal convergence rates for a two-level discretization method (LOD) used to compute ground states of Bose-Einstein condensates, enabling accurate results with coarse meshes and reducing computational costs.
Contribution
The paper establishes the first proof of optimal order error estimates for the LOD method applied to the Gross-Pitaevskii energy, confirming high convergence rates without extra regularity assumptions.
Findings
Energy and eigenvalue errors converge at 6th order with respect to mesh size.
Numerical experiments confirm theoretical convergence rates for smooth and discontinuous potentials.
Coarse meshes suffice for accurate ground state approximations, reducing computational effort.
Abstract
In this paper we revisit a two-level discretization based on the Localized Orthogonal Decomposition (LOD). It was originally proposed in [P.Henning, A.M{\aa}lqvist, D.Peterseim. SIAM J. Numer. Anal.52-4:1525-1550, 2014] to compute ground states of Bose-Einstein condensates by finding discrete minimizers of the Gross-Pitaevskii energy functional. The established convergence rates for the method appeared however suboptimal compared to numerical observations and a proof of optimal rates in this setting remained open. In this paper we shall close this gap by proving optimal order error estimates for the - and -error between the exact ground state and discrete minimizers, as well as error estimates for the ground state energy and the ground state eigenvalue. In particular, the achieved convergence rates for the energy and the eigenvalue are of th order with respect to the mesh…
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Taxonomy
TopicsCold Atom Physics and Bose-Einstein Condensates · Numerical methods for differential equations · Electromagnetic Simulation and Numerical Methods
