Convergence analysis of a Schrödinger problem with moving boundary

Daniel G. Alfaro Vigo, Daniele C.R. Gomes, Bruno A. do Carmo and Mauro A. Rincon

Mathematics and Computers in Simulation (MATCOM), 2025, vol. 238, issue C, 45-64

Abstract: In this article, we present the mathematical analysis of the convergence of the linearized Crank–Nicolson Galerkin method for a nonlinear Schrödinger problem related to a domain with a moving boundary. The convergence analysis of the numerical method is carried out for both semidiscrete and fully discrete problems. We establish an optimal error estimate in the L2-norm with order O(τ2+hs),2≤s≤r, where h is the finite element mesh size, τ is the time step, and r−1 represents the degree of the finite element polynomial basis. Numerical simulations are provided to confirm the consistency between theoretical and numerical results, validating the method and the order of convergence for different degrees p≥1 of the Lagrange polynomials and also for Hermite polynomials (degree p=3), which form the basis of the approximate solution.

Keywords: Nonlinear Schrödinger equation; Error estimate; Crank–Nicolson Galerkin method; Numerical simulations (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:238:y:2025:i:c:p:45-64

DOI: 10.1016/j.matcom.2025.04.042

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