Numerical Analysis of a Benjamin–Bona–Mahony Type Equation in a Noncylindrical Domain

ABSTRACT Numerical analysis and simulation for the approximate solution of a Benjamin–Bona–Mahony type equation defined in a noncylindrical domain are presented in this article. The approximate problem is defined using the linearized Crank–Nicolson Galerkin method, which results in a linear algebraic system at each time step while maintaining quadratic convergence order in time. Numerical simulations and tables are displayed to illustrate the convergence order in both time and space for different types of moving boundaries. These results justify the consistency between theoretical analysis and numerical simulations, validating the precision, stability, and applicability of the proposed numerical method.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-10-14
DOI
https://doi.org/10.1002/mma.70192
Primary Topic
Differential Equations and Numerical Methods
Type
article
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article

Numerical Analysis of a Benjamin–Bona–Mahony Type Equation in a Noncylindrical Domain

Mauro A. Rincon, Bruno A. Carmo, V.C. Machado
Mathematical Methods in the Applied Sciences
Differential Equations and Numerical Methods
article

Numerical Analysis of a Benjamin–Bona–Mahony Type Equation in a Noncylindrical Domain

Mauro A. Rincon, Bruno A. Carmo, V.C. Machado
article en

Abstract

ABSTRACT Numerical analysis and simulation for the approximate solution of a Benjamin–Bona–Mahony type equation defined in a noncylindrical domain are presented in this article. The approximate problem is defined using the linearized Crank–Nicolson Galerkin method, which results in a linear algebraic system at each time step while maintaining quadratic convergence order in time. Numerical simulations and tables are displayed to illustrate the convergence order in both time and space for different types of moving boundaries. These results justify the consistency between theoretical analysis and numerical simulations, validating the precision, stability, and applicability of the proposed numerical method.

Mathematical Methods in the Applied SciencesVol. 49(2)
Universidade Federal do Rio de Janeiro (BR), Universidade Federal Rural do Rio de Janeiro (BR), Instituto Federal do Rio de Janeiro (BR), Universidade Iguaçu (BR)
Openalex Percentile: Top 57%
Differential Equations and Numerical Methods
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