Skip to main content
Journal cover image

FULLY DISCRETIZED SOBOLEV GRADIENT FLOW FOR THE GROSS-PITAEVSKII EIGENVALUE PROBLEM

Publication ,  Journal Article
Chen, Z; Lu, J; Lu, Y; Zhang, X
Published in: Mathematics of Computation
November 1, 2025

This paper studies the numerical approximation of the ground state of the Gross-Pitaevskii (GP) eigenvalue problem with a fully discretized Sobolev gradient flow induced by the H1 norm. For the spatial discretization, we consider the finite element method with quadrature using Pk basis on a simplicial mesh and Qk basis on a rectangular mesh. We prove the global convergence to a critical point of the discrete GP energy, and establish a local exponential convergence to the ground state under the assumption that the linearized discrete Schr¨odinger operator has a positive spectral gap. We also show that for the P1 finite element discretization with quadrature on an unstructured shape regular simplicial mesh, the eigengap satisfies a mesh-independent lower bound, which implies a mesh-independent local convergence rate for the proposed discrete gradient flow. Numerical experiments with discretization by high-order Qk spectral element methods in two and three dimensions are provided to validate the efficiency of the proposed method.

Duke Scholars

Published In

Mathematics of Computation

DOI

ISSN

0025-5718

Publication Date

November 1, 2025

Volume

94

Issue

356

Start / End Page

2723 / 2760

Related Subject Headings

  • Numerical & Computational Mathematics
  • 4903 Numerical and computational mathematics
  • 4901 Applied mathematics
  • 0802 Computation Theory and Mathematics
  • 0103 Numerical and Computational Mathematics
  • 0102 Applied Mathematics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Chen, Z., Lu, J., Lu, Y., & Zhang, X. (2025). FULLY DISCRETIZED SOBOLEV GRADIENT FLOW FOR THE GROSS-PITAEVSKII EIGENVALUE PROBLEM. Mathematics of Computation, 94(356), 2723–2760. https://doi.org/10.1090/mcom/4032
Chen, Z., J. Lu, Y. Lu, and X. Zhang. “FULLY DISCRETIZED SOBOLEV GRADIENT FLOW FOR THE GROSS-PITAEVSKII EIGENVALUE PROBLEM.” Mathematics of Computation 94, no. 356 (November 1, 2025): 2723–60. https://doi.org/10.1090/mcom/4032.
Chen Z, Lu J, Lu Y, Zhang X. FULLY DISCRETIZED SOBOLEV GRADIENT FLOW FOR THE GROSS-PITAEVSKII EIGENVALUE PROBLEM. Mathematics of Computation. 2025 Nov 1;94(356):2723–60.
Chen, Z., et al. “FULLY DISCRETIZED SOBOLEV GRADIENT FLOW FOR THE GROSS-PITAEVSKII EIGENVALUE PROBLEM.” Mathematics of Computation, vol. 94, no. 356, Nov. 2025, pp. 2723–60. Scopus, doi:10.1090/mcom/4032.
Chen Z, Lu J, Lu Y, Zhang X. FULLY DISCRETIZED SOBOLEV GRADIENT FLOW FOR THE GROSS-PITAEVSKII EIGENVALUE PROBLEM. Mathematics of Computation. 2025 Nov 1;94(356):2723–2760.
Journal cover image

Published In

Mathematics of Computation

DOI

ISSN

0025-5718

Publication Date

November 1, 2025

Volume

94

Issue

356

Start / End Page

2723 / 2760

Related Subject Headings

  • Numerical & Computational Mathematics
  • 4903 Numerical and computational mathematics
  • 4901 Applied mathematics
  • 0802 Computation Theory and Mathematics
  • 0103 Numerical and Computational Mathematics
  • 0102 Applied Mathematics