Efficient Positivity-Preserving NSFD Scheme: Application to Advection-Diffusion-Reaction Equation

Document Type : Research Paper

Authors
1 Department of Mathematics, Faculty of Basic Science, University of Maragheh, Maragheh, Iran
2 Department of Mathematics, Faculty of Basic Science, Azarbaijan Shahid Madani University, Tabriz, Iran
3 Faculty of Mathematics, Statistics and Computer Science, University of Tabriz, Tabriz, Iran
Abstract
Solving problems across a wide range of scientific and engineering domains, encompassing physical, mechanical and biological systems as well as financial markets, necessitates addressing parabolic equations of the advection-diffusion-reaction (ADR) variety. In these multifaceted problems, our primary objectives invariably involve determining the concentration of chemical compounds, the pricing of options, or the scale of populations, all of which inherently possess positive attributes. It is noteworthy, however, that the utilization of conventional methodologies, such as the classical finite difference method, can inadvertently give rise to numerical deficiencies, manifesting as spurious oscillations and negative values in the computed solutions due to truncation errors. By employing the nonstandard finite difference (NSFD) method, an improved finite difference framework is established, one that effectively mitigates the aforementioned issues. Specifically, the proposed NSFD scheme guarantees the positivity of the solutions and effectively eliminates any presence of spurious oscillations within the computed solutions.
Keywords
Subjects

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[1] Shakhmurov, V., Maharramov, A., Sahmurova, A., Stability features of the dynamical system emerging in the model of the cancer growth, TWMS Journal of Pure and Applied Mathematics, 14(1), 2023, 23-40.
[2] Chen-Charpentier, B.M., Kojouharov, H.V., An unconditionally positivity preserving scheme for advection-diffusion reaction equations, Mathematical and Computer Modelling, 57(9), 2013, 2177-2185.
[3] Dolicanin, C., Kacapor, E., Atanackovic, T.M., A note on the heavy longest reach cantilever: An unconventional optimization problem, Applied and Computational Mathematics, 22(4), 2023, 466-479.
[4] Ghanbari, M., Allahviranloo, T., Pedrycz, W., Nuraei, R., Numerical solution of dual fuzzy Sylvester matrix equations by an iteration method, Applied and Computational Mathematics, 22(4), 2023, 382-399.
[5] Cheng, H., Zhao, D., Zhao, G., Torres, D.F., Quantum Hermite-Hadamard type inequalities for interval-valued functions, TWMS Journal of Pure and Applied Mathematics, 14(2), 2023, 246-265.
[6] Aliev, F.A., Sushchenko, O.A., Mutallimov, M.M., Javadov, N.G., Mammadov, F.F., Maharramov, R.R., Algorithm for quadcopter motion stabilization taking into account data of inertial navigation system, TWMS Journal of Pure and Applied Mathematics, 14(2), 2023, 278-289.
[7] Mehdizadeh Khalsaraei, M., Shokri Jahandizi, R., A family of positivity preserving schemes for numerical solution of Black–Scholes equation, International Journal of Financial Engineering, 3(4), 2016, 1650025.
[8] Oqielat, M.N., Eriqat, T., Al-Zhour, Z., El-Ajou, A., Momani, S., Numerical Solutions of Time-Fractional Nonlinear Water Wave Partial Differential Equation via Caputo Fractional Derivative: An Effective Analytical Method and Some Applications, Applied and Computational Mathematics, 21(2), 2022, 207-222.
[9] Varunkumar, M., Muthu, P., Srinivas, S., Mathematical Model of Fluid Flow and Solute Transport in Converging-diverging Permeable Tubes, Journal of Applied and Computational Mechanics, 9(4), 2023, 900-914.
[10] Xu, W., Ge, L., Two-Grid Finite Volume Element Methods for Solving Cahn-Hilliard Equation, Bulletin of the Iranian Mathematical Society, 49, 2023, 28.
[11] Hundsdorfer, W., Verwer, J.G., Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equation, Springer, 2003.
[12] Zhang, Z., Liu, J., Guan, Q., Existence and Multiplicity of Normalized Solutions to Biharmonic Schrödinger Equations with Subcritical Growth, Bulletin of the Iranian Mathematical Society, 49, 2023, 80.
[13] Mehdizadeh Khalsaraei, M., Shokri Jahandizi, R., A modified explicit method for the Black-Scholes equation with positivity preserving property, Journal of Mathematics and Computer Science, 15, 2015, 299-305.
[14] Mehdizadeh Khalsaraei, M., Shokri, A., Mohammadnia, Z., Sedighi, H.M., Qualitatively stable nonstandard finite difference scheme for numerical solution of the nonlinear Black-Scholes equation, Journal of Mathematics, 2021, 2021, 6679484.
[15] Mehdizadeh Khalsaraei, M., Shokri, A., Wang, Y., Bazm, S., Navidifar, G., Khakzad, P., Qualitatively Stable Schemes for the Black–Scholes Equation, Fractal and Fractional, 7(2), 2023, 154.
[16] Bear, J., Hydraulics of Groundwater, Dover, Minneola, 2007.
[17] Demba, M.A., Senu, N., Ramos, H., et al., A Phase- and Amplification-Fitted 5(4) Diagonally Implicit Runge–Kutta–Nyström Pair for Oscillatory Systems Systems, Bulletin of the Iranian Mathematical Society, 49, 2023, 24.
[18] Hetrick, D.K., Dynamics of Nuclear Reactors, University of Chicago, Chicago, 1971.
[19] Murray, J.D., Mathematical Biology I, Springer-Verlag, Berlin, 2002.
[20] Shih, T.M., Numerical Heat Transfer, Springer-Verlag, Berlin, 1984.
[21] Mickens, R.E., Nonstandard Finite Difference Models of Differential Equations, World Scientific, Singapore, 1994.
[22] Darehmiraki, M., Rezazadeh, A., A New Solution for Optimal Control of Fractional Convection-Reaction-Diffusion Equation Using Rational Barycentric Interpolation, Bulletin of the Iranian Mathematical Society, 46, 2020, 1307-1340.
[23] Mehdizadeh Khalsaraei, M., Shokri Jahandizi, R., Efficient explicit nonstandard finite difference scheme with positivity-preserving property, Gazi University Journal of Science, 30(1), 2017, 259-268.
[24] Mehdizadeh Khalsaraei, M., Rashidi, M.M., Shokri, A., Ramos, H., Khakzad, P., A Nonstandard Finite Difference Method for a Generalized Black-Scholes Equation, Symmetry, 14(1), 2022, 141.
[25] Mehdizadeh Khalsaraei, M., Shokri, A., Ramos, H., Mohammadnia, Z., Khakzad, P., A Positivity-Preserving Improved Nonstandard Finite Difference Method to Solve the Black-Scholes Equation, Mathematics, 10(11), 2022, 1846.
[26] Mehdizadeh Khalsaraei, M., Shokri, A., Wang, Y., Bazm, S., Navidifar, G., Khakzad, P., Qualitatively Stable Schemes for the Black-Scholes Equation, Fractal and Fractional, 7(2), 2023, 154.
[27] Mickens, R.E., Exact solution to a finite difference model of a nonlinear reaction-advection equation: implications for numerical analysis, Numerical Methods for Partial Differential Equations, 5, 1989, 313-325.
[28] Mickens, R.E., Nonstandard finite difference schemes for reaction-diffusion equations having linear advection, Numerical Methods for Partial Differential Equations, 16(4). 2000, 361-364.
[29] Mickens, R.E., A nonstandard finite difference scheme for a Fisher PDE having nonlinear diffusion, Computers & Mathematics with Applications, 45, 2003, 429-436.
[30] Mickens, R.E., Jordan, P.M., A positivity-preserving nonstandard finite difference scheme for the Damped Wave Equation, Numerical Methods for Partial Differential Equations, 20, 2004, 639-649.
[31] Mickens, R.E., Jordan, P.M., A new positivity-preserving nonstandard finite difference scheme for the DWE, Numerical Methods for Partial Differential Equations, 21, 2005, 976-985.
[32] Shokri, A., Mehdizadeh Khalsaraei, M., Molayi, M., Dynamically consistent NSFD methods for predator-prey system, Journal of Applied and Computational Mechanics, 7(3), 2021, 1565-1574.
[33] Milev, M., Tagliani, A., Efficient implicit scheme with positivity preserving and smoothing properties, Computational and Applied Mathematics, 243, 2013, 1-9.
[34] Kayenat, S., Verma, A.K., On the choice of denominator functions and convergence of NSFD schemes for a class of nonlinear SBVPs, Mathematics and Computers in Simulation, 200, 2022, 263-284.
[35] Verma, A.K., Kayenat, S., On the convergence of Mickens’ type nonstandard finite difference schemes on Lane-Emden type equations, Journal of Mathematical Chemistry, 56, 2018, 1667-1706.
[36] Parsa, H., Chin, C.D., Mongkolwisetwara, P., Lee, B.W., Wang, J.J., Sia, S.K., Effect of volume-and time-based constraints on capture of analytes in microfluidic heterogeneous immunoassays, Lab on a Chip, 8(12), 2008, 2062-2070.
[37] Smith, G.D., Numerical Solution of Partial Differential Equations: Finite Difference Methods, Oxford University Press, Oxford, 1985.
[38] Istas, J., Mathematical Modeling for the Life Sciences, Springer-Verlag, Berlin, 2005.
[39] Taiwo, O., Schultz, J., Krebs, V., A comparison of two methods for the numerical inversion of Laplace transform, Computers & Chemical Engineering, 19, 1995, 303-305.
[40] Zakian, V., Properties of IMN and JMN approximates and applications to numerical inversion of Laplace transforms and initial value problems, Journal of Mathematical Analysis and Applications, 50, 1975, 191-222.
[41] Manoranjan, V.S., Stauffer, T.B., Exact solution for contaminant transport with kinetic Langmuir sorption, Water Resources Research, 32, 1996, 749-752.
[42] Liu, L., Clemence, D.P., Mickens, R.E., A nonstandard finite difference scheme for contaminant transport with kinetic Langmuir sorption, Numerical Methods for Partial Differential Equations, 27(4), 2011, 767-785.
[43] Black, F., Scholes, M., The pricing of options and corporate liabilities, Journal of Political Economy, 81, 1973, 637–659.
[44] Merton, R.C., Theory of rational option pricing, Bell Journal of Economics and Management Science, 4, 1973, 141–183.