Linearized Variable‐Time‐Step BDF3–VEM Scheme for Semilinear Parabolic Equations With Nonlinear Vanishing Delay

ABSTRACT In this paper, we study the numerical solution of semilinear parabolic equations with nonlinear vanishing delay, employing a linearized variable‐time‐step three‐step backward differentiation formula (vBDF3) for time discretization and the virtual element method (VEM) for spatial discretization. The proposed scheme is flexible for variable time steps and spatial meshes. Based on the technique of the discrete orthogonal convolution kernels, we establish the unconditional optimal ‐norm error estimate for the fully discrete solution through the error splitting technique. Finally, numerical experiments are given to demonstrate the high‐order accuracy and unconditional convergence of the linearized scheme.

Authors

Institutions

Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2025-10-16
DOI
https://doi.org/10.1002/num.70046
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Linearized Variable‐Time‐Step BDF3–VEM Scheme for Semilinear Parabolic Equations With Nonlinear Vanishing Delay

Shuai Su, Qiumei Huang, Gangfan Zhong
Numerical Methods for Partial Differential Equations
Advanced Numerical Methods in Computational Mathematics
article

Linearized Variable‐Time‐Step BDF3–VEM Scheme for Semilinear Parabolic Equations With Nonlinear Vanishing Delay

Shuai Su, Qiumei Huang, Gangfan Zhong
article en

Abstract

ABSTRACT In this paper, we study the numerical solution of semilinear parabolic equations with nonlinear vanishing delay, employing a linearized variable‐time‐step three‐step backward differentiation formula (vBDF3) for time discretization and the virtual element method (VEM) for spatial discretization. The proposed scheme is flexible for variable time steps and spatial meshes. Based on the technique of the discrete orthogonal convolution kernels, we establish the unconditional optimal ‐norm error estimate for the fully discrete solution through the error splitting technique. Finally, numerical experiments are given to demonstrate the high‐order accuracy and unconditional convergence of the linearized scheme.

Numerical Methods for Partial Differential EquationsVol. 41(6)
Beijing University of Technology (CN)
Openalex Percentile: Top 69%
Advanced Numerical Methods in Computational Mathematics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.