Convergence Analysis of Dynamically Regularized Lagrange Multiplier Pressure Correction Method for the Incompressible Navier–Stokes Equations

ABSTRACT We propose a first‐order pressure‐correction scheme for the incompressible Navier‐Stokes equations, incorporating the recently developed Dynamically Regularized Lagrange Multiplier (DRLM) methods. The resulting algorithm is fully decoupled and require solving only Poisson‐type equations at each time step. Moreover, it exhibits unconditional energy stability. This paper provides a rigorous error analysis for the first‐order scheme, establishing optimal error estimates for both velocity and pressure. Specifically, we employ mathematical induction to derive sharp velocity error bounds, while leveraging the inf‐sup condition to prove optimal convergence rate for the pressure. To validate our theoretical findings, we present two numerical experiments demonstrating the accuracy and robustness of the method.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2026-04-06
DOI
https://doi.org/10.1002/num.70090
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Convergence Analysis of Dynamically Regularized Lagrange Multiplier Pressure Correction Method for the Incompressible Navier–Stokes Equations

Rihui Lan, Y. R. Shen, Hua Wang
Numerical Methods for Partial Differential Equations
Advanced Numerical Methods in Computational Mathematics
article

Convergence Analysis of Dynamically Regularized Lagrange Multiplier Pressure Correction Method for the Incompressible Navier–Stokes Equations

Rihui Lan, Y. R. Shen, Hua Wang
article en

Abstract

ABSTRACT We propose a first‐order pressure‐correction scheme for the incompressible Navier‐Stokes equations, incorporating the recently developed Dynamically Regularized Lagrange Multiplier (DRLM) methods. The resulting algorithm is fully decoupled and require solving only Poisson‐type equations at each time step. Moreover, it exhibits unconditional energy stability. This paper provides a rigorous error analysis for the first‐order scheme, establishing optimal error estimates for both velocity and pressure. Specifically, we employ mathematical induction to derive sharp velocity error bounds, while leveraging the inf‐sup condition to prove optimal convergence rate for the pressure. To validate our theoretical findings, we present two numerical experiments demonstrating the accuracy and robustness of the method.

Numerical Methods for Partial Differential EquationsVol. 42(3)
Xiangtan University (CN), Ocean University of China (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Numerical Methods in Computational Mathematics
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