Error analysis of Crank–Nicolson-FEM for Fitzhugh–Nagumo system with Robin boundary conditions

We investigate the convergence properties Crank–Nicolson scheme coupled with the finite element approximation of the Fitzhugh–Nagumo system. This model describes the dynamics of excitable media, such as nerve cells, and has applications in various fields, including neuroscience and cardiac modeling. The study focuses on the time splitting algorithm, which combines implicit time-stepping using Crank–Nicolson with piecewise finite element spatial discretization. The well-posedness and error estimates for both the temporal and fully discretization errors are established. This type of boundary conditions are incorporated into the formulation, allowing for non-homogeneous fluxes at the domain boundaries. Numerical experiments validate the theoretical findings.

Authors

Institutions

Publication Details

Journal
Partial Differential Equations in Applied Mathematics
Published
2024-12-30
DOI
https://doi.org/10.1016/j.padiff.2024.101045
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

Error analysis of Crank–Nicolson-FEM for Fitzhugh–Nagumo system with Robin boundary conditions

M. Mbehou, Mahamat Saleh Daoussa Haggar, S. Dawe, L.M. Kemfouet Tsopze
Partial Differential Equations in Applied Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Error analysis of Crank–Nicolson-FEM for Fitzhugh–Nagumo system with Robin boundary conditions

M. Mbehou, Mahamat Saleh Daoussa Haggar, S. Dawe, L.M. Kemfouet Tsopze
article en

Abstract

We investigate the convergence properties Crank–Nicolson scheme coupled with the finite element approximation of the Fitzhugh–Nagumo system. This model describes the dynamics of excitable media, such as nerve cells, and has applications in various fields, including neuroscience and cardiac modeling. The study focuses on the time splitting algorithm, which combines implicit time-stepping using Crank–Nicolson with piecewise finite element spatial discretization. The well-posedness and error estimates for both the temporal and fully discretization errors are established. This type of boundary conditions are incorporated into the formulation, allowing for non-homogeneous fluxes at the domain boundaries. Numerical experiments validate the theoretical findings.

Partial Differential Equations in Applied MathematicsVol. 13
University of N'Djamena (TD), Université de Yaoundé I (CM)
Climate action
Openalex Percentile: Top 73%
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.