A high-accuracy symplectic scheme for a nonlinear transport problem

Abstract We analyze an advection–diffusion–reaction problem with non-homogeneous boundary conditions that models the chromatography process. We prove stability and error estimates for both constant and affine adsorption, using the symplectic one-step implicit midpoint method for time discretization and finite elements for spatial discretization. In addition, we perform the stability analysis for the nonlinear, explicit adsorption in the continuous and semi-discrete cases. For the nonlinear, explicit adsorption, we also complete the error analysis for the semi-discrete case and prove the existence of a solution for the fully discrete case. The numerical tests validate our theoretical results.

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Publication Details

Journal
Computational and Applied Mathematics
Published
2026-04-21
DOI
https://doi.org/10.1007/s40314-026-03668-7
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.00

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article

A high-accuracy symplectic scheme for a nonlinear transport problem

Farjana Siddiqua, Cătălin Trenchea
Computational and Applied Mathematics
Numerical methods for differential equations
article

A high-accuracy symplectic scheme for a nonlinear transport problem

Farjana Siddiqua, Cătălin Trenchea
article en

Abstract

Abstract We analyze an advection–diffusion–reaction problem with non-homogeneous boundary conditions that models the chromatography process. We prove stability and error estimates for both constant and affine adsorption, using the symplectic one-step implicit midpoint method for time discretization and finite elements for spatial discretization. In addition, we perform the stability analysis for the nonlinear, explicit adsorption in the continuous and semi-discrete cases. For the nonlinear, explicit adsorption, we also complete the error analysis for the semi-discrete case and prove the existence of a solution for the fully discrete case. The numerical tests validate our theoretical results.

Computational and Applied MathematicsVol. 45(8)
University of Pittsburgh (US)
National Science Foundation
Openalex Percentile: Top 11%
Numerical methods for differential equations
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