A preserving accuracy two-grid reduced-dimensional Crank-Nicolson mixed finite element method for nonlinear wave equation

• Published in: Applied numerical mathematics Vol. 202; pp. 1 - 20
• Main Authors: Li, Yuejie, Li, Huanrong, Zeng, Yihui, Luo, Zhendong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2024
• Subjects: Nonlinear wave equation; Proper orthogonal decomposition technique; Reduced-dimension extrapolated two-grid Crank– Nicolson mixed finite element method; Unconditional stability and error estimate; Nonlinear wave equation; Unconditional stability and error estimate; Proper orthogonal decomposition technique; Reduced-dimension extrapolated two-grid Crank– Nicolson mixed finite element method
• ISSN: 0168-9274; 1873-5460
• DOI: 10.1016/j.apnum.2024.04.010

In this paper, we mainly resort to a proper orthogonal decomposition (POD) method to study the reduced-dimension of unknown mixed finite element (MFE) solution coefficient vectors in the two-grid Crank-Nicolson MFE (TGCNMFE) method for the nonlinear wave equation and build a preserving accuracy reduced-dimension extrapolated TGCNMFE (RDETGCNMFE) method for the nonlinear wave equation. For this purpose, we first build a new TGCNMFE method for the nonlinear wave equation and demonstrate the existence, unconditional stability, and error estimates for the TGCNMFE solutions. From there, we build a preserving accuracy RDETGCNMFE method for the nonlinear wave equation by using the POD method to decrease the dimension of unknown TGCNMFE solution coefficient vectors and employ the matrix analysis to analyze the existence, unconditional stability, convergence, and errors for the RDETGCNMFE solutions. We finally make use of numerical experiments to verify our theoretical results and to show the advantages of RDETGCNMFE method.