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Pure Mathematics for Theoretical Computer Science

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Pure Mathematics for Theoretical Computer Science
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Volume 6Issue 2PP: 11 –17 • 2026

A Discrete Nonlinear Advection–Diffusion–Reaction Scheme with Vortex Transport: Stability, Convergence, and Algorithmic Complexity

Malika Abdulameer 1*
1Jabir Ibn Hayyan University for Medical and Pharmaceutical Sciences, Baghdad, Iraq
* Corresponding Author.
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© 2026 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Received: April 10, 2026 Revised: June 09, 2026 Accepted: August 08, 2026

Abstract

This paper develops a two-dimensional discrete mathematical model for a nonlinear advection–diffusion–reaction equation under a divergence-free vortex field. The formulation is treated as a finite-dimensional dynamical system generated by an explicit finite-difference algorithm: first-order upwind operators approximate advection, secondorder centered operators approximate diffusion, and explicit Euler time stepping advances the nonlinear reaction. The resulting update rule is analyzed through Courant–Friedrichs–Lewy restrictions, a diffusion constraint, and a frozen-coefficient von Neumann argument. A Gaussian initial state and homogeneous Neumann boundary conditions define the computational problem. Numerical experiments show stable vortex-driven redistribution, diffusion-induced smoothing, decay of total mass in the presence of the linear loss term, and localized changes caused by the quadratic reaction. Grid-refinement, time-step-sensitivity, and analytical diffusion benchmarks support convergence of the discrete approximation. For an Nx by Ny grid, each time step requires O(NxNy) arithmetic operations and O(NxNy) storage, so the method provides a transparent algorithmic bridge between nonlinear PDE analysis and discrete computation. The study emphasizes the mathematical structure, stability conditions, convergence behavior, and computational complexity of the scheme while retaining pollutant transport as an illustrative application.

Keywords

Nonlinear partial differential equations Finite-difference algorithm Discrete dynamical systems Advection–diffusion–reaction equation von Neumann stability Convergence analysis Computational complexity Vortex transport

References

[1] L. C. Evans, Partial Differential Equations, 2nd ed. American Mathematical Society, 2010.

[2] R. J. LeVeque, Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems. SIAM, 2007.

[3] K. W. Morton and D. F. Mayers, Numerical Solution of Partial Differential Equations: An Introduction, 2nd ed. Cambridge University Press, 2005.

[4] J. C. Strikwerda, Finite Difference Schemes and Partial Differential Equations, 2nd ed. SIAM, 2004.

[5] W. Hundsdorfer and J. G. Verwer, Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer, 2003.

[6] J.W. Thomas, Numerical Partial Differential Equations: Finite Difference Methods. Springer, 1995.

[7] G. D. Smith, Numerical Solution of Partial Differential Equations: Finite Difference Methods, 3rd ed. Oxford University Press, 1985.

[8] S. V. Patankar, Numerical Heat Transfer and Fluid Flow. Hemisphere Publishing, 1980.

[9] H. K. Versteeg and W. Malalasekera, An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2nd ed. Pearson, 2007.

[10] E. F. Toro, Riemann Solvers and Numerical Methods for Fluid Dynamics: A Practical Introduction, 3rd ed. Springer, 2009.

[11] S. B. Pope, Turbulent Flows. Cambridge University Press, 2000.

[12] G. E. Karniadakis and S. J. Sherwin, Spectral/hp Element Methods for Computational Fluid Dynamics, 2nd ed. Oxford University Press, 2005.

[13] A. Quarteroni, R. Sacco, and F. Saleri, Numerical Mathematics, 2nd ed. Springer, 2007.

[14] R. D. Richtmyer and K.W. Morton, Difference Methods for Initial-Value Problems, 2nd ed. Interscience, 1967.

[15] J. von Neumann and R. D. Richtmyer, “A method for the numerical calculation of hydrodynamic shocks,” Journal of Applied Physics, vol. 21, no. 3, pp. 232–237, 1950.

Cite This Article

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Abdulameer, Malika. "A Discrete Nonlinear Advection–Diffusion–Reaction Scheme with Vortex Transport: Stability, Convergence, and Algorithmic Complexity." Pure Mathematics for Theoretical Computer Science, vol. 6, no. 2, 2026, pp. 11 –17. DOI: https://doi.org/10.54216/PMTCS.060202
Abdulameer, M. (2026). A Discrete Nonlinear Advection–Diffusion–Reaction Scheme with Vortex Transport: Stability, Convergence, and Algorithmic Complexity. Pure Mathematics for Theoretical Computer Science, Volume 6(Issue 2), 11 –17. DOI: https://doi.org/10.54216/PMTCS.060202
Abdulameer, Malika. "A Discrete Nonlinear Advection–Diffusion–Reaction Scheme with Vortex Transport: Stability, Convergence, and Algorithmic Complexity." Pure Mathematics for Theoretical Computer Science Volume 6, no. Issue 2 (2026): 11 –17. DOI: https://doi.org/10.54216/PMTCS.060202
Abdulameer, M. (2026) 'A Discrete Nonlinear Advection–Diffusion–Reaction Scheme with Vortex Transport: Stability, Convergence, and Algorithmic Complexity', Pure Mathematics for Theoretical Computer Science, Volume 6(Issue 2), pp. 11 –17. DOI: https://doi.org/10.54216/PMTCS.060202
Abdulameer M. A Discrete Nonlinear Advection–Diffusion–Reaction Scheme with Vortex Transport: Stability, Convergence, and Algorithmic Complexity. Pure Mathematics for Theoretical Computer Science. 2026;Volume 6(Issue 2):11 –17. DOI: https://doi.org/10.54216/PMTCS.060202
M. Abdulameer, "A Discrete Nonlinear Advection–Diffusion–Reaction Scheme with Vortex Transport: Stability, Convergence, and Algorithmic Complexity," Pure Mathematics for Theoretical Computer Science, vol. Volume 6, no. Issue 2, pp. 11 –17, 2026. DOI: https://doi.org/10.54216/PMTCS.060202
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