EventsThe 1st International Online Conference on Symmetry
Published
This submission belongs to the session S7. Applied Mathematics of the event The 1st International Online Conference on Symmetry
Published date
15 Oct, 2026
Academic Editor
author-avatarYufeng Zhang
Citation
Daniel López-Rodríguez, Macarena Boix García, Alejandro Inza Fitó, Structure-Preserving Numerical Schemes for Nonlinear Adsorption Models with Mass Conservation, in Proceedings of The 1st International Online Conference on Symmetry, 20 October–22 October 2026, MDPI: Basel, Switzerland
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Structure-Preserving Numerical Schemes for Nonlinear Adsorption Models with Mass Conservation

Alejandro Inza Fitó 1
1. Department of Applied Mathematics. Universitat Politècnica de València, Pza. Ferrándiz y Carbonell, s/n, Alcoy-03801, Spain
Abstract

Introduction: Nonlinear adsorption models with a conserved total amount are often solved numerically before parameter estimation or model comparison. However, a numerical approximation can be misleading if it does not respect the admissible domain defined by non-negativity and mass conservation. This work studies structure-preserving time discretisation for mass-conserved adsorption dynamics from an applied-mathematics viewpoint.

Methods: We consider a generic batch adsorption model written as dq/dt = F(q,s;theta), ds/dt = -F(q,s;theta), with q(t) denoting the adsorbed phase, s(t) the remaining solute phase, and s(t) + q(t) = m. The conservation law is used to reduce the dynamics to a scalar problem on the interval 0 <= q <= m. Standard one-step discretisations are compared with reduced-variable and projected formulations, using conservation, positivity, and equilibrium admissibility as structural criteria.

Results: The reduced formulation preserves the linear invariant exactly at the discrete level because s is reconstructed as m - q after each update. We also derive an admissibility condition for explicit updates that keeps q_{n+1} inside [0,m], and we identify the situations in which projection is needed to prevent nonphysical iterates. These results separate mass-conservation preservation, which can be imposed algebraically, from positivity preservation, which depends on the flux and the time step.

Conclusions: Structure-preserving discretisation provides a compact framework for simulating nonlinear adsorption kinetics without introducing numerical artefacts that may affect later sensitivity analysis, parameter estimation, or model selection.

Keywords
applied mathematics
structure-preserving schemes
adsorption kinetics
mass conservation
positivity
numerical modelling
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