Abstract
In this paper, we explore the numerical analysis of Brusselator-type reaction-diffusion equations on open bounded convex domains \({\mathfrak {R}} \subset {\mathbb {R}}^{d}\), where \(d \le 3\), with Robin boundary conditions (RBCs). We introduce two finite element schemes: semi-discrete and fully discrete finite element approximations. We demonstrate the existence and uniqueness of solutions for both semi-discrete and fully discrete finite element approximations. Furthermore, we present the convergence of both semi-discrete and fully discrete approximations to the exact solutions. We explore error bounds between semi-discrete and exact solutions, semi-discrete and fully discrete solutions, as well as fully discrete and exact solutions. Additionally, we illustrate the suitable algorithm for solving the fully discrete finite element approximation for each time step.
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References
Lefever, R., Nicolis, G.: Chemical instabilities and sustained oscillations. J. Theor. Biol. 30(2), 267–284 (1971)
Tyson, J.J.: Some further studies of nonlinear oscillations in chemical systems. J. Chem. Phys. 58(9), 3919–3930 (1973)
Jiwari, R., Yuan, J.: A computational modeling of two dimensional reaction-diffusion Brusselator system arising in chemical processes. J. Math. Chem. 52(6), 1535–1551 (2014)
Milne, R.D.: Applied Functional Analysis: An Introductory Treatment. Pitman Publishing, New York (1980)
Thomée, V.: Galerkin Finite Element Methods for Parabolic Problems, vol. 1054. Springer, Berlin (1984)
Ciarlet, P.G.: The Finite Element Method for Elliptic Problems. SIAM, Philadelphia (2002)
Daners, D.: Robin boundary value problems on arbitrary domains. Trans. Am. Math. Soc. 352(9), 4207–4236 (2000)
Maz’ya, V.G.: Zur Theorie Sobolewscher Räume, vol. 38. Teubner Texte zur Mathematik, Teubner, Leipzig (1981)
Showalter, R.E.: Variational theory and approximation of boundary value problems. In: Numerical Analysis Lancaster 1984, pp. 140–179. Springer, Berlin (1985)
Al-Juaifri, G.A., Harfash, A.J.: Existence and uniqueness of solution for the nonlinear Brusselator system with robin boundary conditions. Georg. Math. J. (2023). https://doi.org/10.1515/gmj-2023-2091
Twizell, E.H., Gumel, A.B., Cao, Q.: A second-order scheme for the Brusselator reaction-diffusion system. J. Math. Chem. 26(4), 297–316 (1999)
Ang, W.-T.: The two-dimensional reaction-diffusion Brusselator system: a dual-reciprocity boundary element solution. Eng. Anal. Bound. Elem. 27(9), 897–903 (2003)
Mittal, R.C., Jiwari, R.: Numerical solution of two-dimensional reaction-diffusion Brusselator system. Appl. Math. Comput. 217(12), 5404–5415 (2011)
Dehghan, M., Abbaszadeh, M.: Variational multiscale element free Galerkin (VMEFG) and local discontinuous Galerkin (LDG) methods for solving two-dimensional Brusselator reaction-diffusion system with and without cross-diffusion. Comput. Methods Appl. Mech. Eng. 300, 770–797 (2016)
Ali, A., Haq, S., et al.: A computational modeling of the behavior of the two-dimensional reaction-diffusion Brusselator system. Appl. Math. Model. 34(12), 3896–3909 (2010)
Kleefeld, B., Khaliq, A.Q.M., Wade, B.A.: An ETD Crank–Nicolson method for reaction-diffusion systems. Numer. Methods Partial Differ. Equ. 28(4), 1309–1335 (2012)
Dehghan, M., Mohammadi, V.: The boundary knot method for the solution of two-dimensional advection reaction-diffusion and Brusselator equations. Int. J. Numer. Methods Heat Fluid Flow 31(1), 106–133 (2020)
Alqahtani, A.M.: Numerical simulation to study the pattern formation of reaction-diffusion Brusselator model arising in triple collision and enzymatic. J. Math. Chem. 56(6), 1543–1566 (2018)
Micheletti, S., Perotto, S., Farrell, P.E.: A recovery-based error estimator for anisotropic mesh adaptation in CFD. SeMA J. 50(1), 115–137 (2010)
Becker, R., Mao, S., Trujillo, D.: Adaptive nonconforming finite elements for the Stokes equations. SeMA J. 50(1), 99–113 (2010)
Pardo, D., Paszynski, M., Collier, N., Alvarez, J., Dalcin, L., Calo, V.M.: A survey on direct solvers for Galerkin methods. SeMA J. 57, 107–134 (2012)
Guillén-gonzález, F., Tierra, G.: Superconvergence in velocity and pressure for the 3 d time-dependent Navier–Stokes equations. SeMA J. 57, 49–67 (2012)
Bernardi, C., Rebollo, T.C., Gómez Mármol, M.: Error analysis of a subgrid eddy viscosity multi-scale discretization of the Navier–Stokes equations. SeMA J. 60(1), 51–74 (2012)
Bernardi, C., Copetti, M.I.M.: Finite element discretization of a nonlinear thermoelastic beam model with penalized unilateral contact. SeMA J. 64, 41–64 (2014)
Bernardi, C., Orfi, A.Y.: Finite element discretization of the time dependent axisymmetric darcy problem. SeMA J. 68, 53–80 (2015)
Ouaki, F., Allaire, G., Desroziers, S., Enchéry, G.: A priori error estimate of a multiscale finite element method for transport modeling. SeMa J. 67, 1–37 (2015)
Bernardi, C., Sayah, T.: A posteriori error analysis of the time dependent Navier–Stokes equations with mixed boundary conditions. SeMA J. 69, 1–23 (2015)
Barrenechea, G.R., John, V., Knobloch, P., Rankin, R.: A unified analysis of algebraic flux correction schemes for convection-diffusion equations. SeMA J. 75, 655–685 (2018)
Codina, R.: On HP convergence of stabilized finite element methods for the convection-diffusion equation. SeMA J. 75(4), 591–606 (2018)
Djoko, J.K., Koko, J.: GLS methods for Stokes equations under boundary condition of friction type: formulation-analysis-numerical schemes and simulations. SeMA J. 80, 581–609 (2022)
Owolabi, K.M., Pindza, E., Atangana, A.: Analysis and pattern formation scenarios in the superdiffusive system of predation described with caputo operator. Chaos Solitons Fractals 152, 111468 (2021)
Owolabi, K.M.: Computational dynamics of predator-prey model with the power-law kernel. Results Phys. 21, 103810 (2021)
Owolabi, K.M., Baleanu, D.: Emergent patterns in diffusive turing-like systems with fractional-order operator. Neural Comput. Appl. 33(19), 12703–12720 (2021)
Owolabi, K.M., Pindza, E.: Spatiotemporal chaos in diffusive systems with the Riesz fractional order operator. Chin. J. Phys. 77, 2258–2275 (2022)
Alqhtani, M., Owolabi, K.M., Saad, K.M.: Spatiotemporal (target) patterns in sub-diffusive predator–prey system with the caputo operator. Chaos Solitons Fractals 160, 112267 (2022)
Owolabi, K.M.: Analysis and numerical simulation of cross reaction-diffusion systems with the caputo-Fabrizio and Riesz operators. Numer. Methods Partial Differ. Equ. 39(3), 1915–1937 (2023)
Nochetto, R.H.: Finite element methods for parabolic free boundary problems. In: Advances in Numerical Analysis, pp. 34–95 (1991)
Ciarlet, P.G., Raviart, P.-A.: General lagrange and hermite interpolation in \({R}^{n}\) with applications to finite element methods. Arch. Ration. Mech. Anal. 46(3), 177–199 (1972)
Adams, R.A., Fournier, J.J.F.: Sobolev Spaces. Elsevier, Amsterdam (2003)
Hashim, M.H., Harfash, A.J.: Finite element analysis of a Keller–Segel model with additional cross-diffusion and logistic source. Part I: Space convergence. Comput. Math. Appl. 89(1), 44–56 (2021)
Hashim, M.H., Harfash, A.J.: Finite element analysis of a Keller–Segel model with additional cross-diffusion and logistic source. Part II: Time convergence and numerical simulation. Comput. Math. Appl. 109(1), 216–234 (2022)
Hashim, M.H., Harfash, A.J.: Finite element analysis of attraction-repulsion chemotaxis system. Part I: Space convergence. Commun. Appl. Math. Comput. 4(3), 1011–1056 (2022)
Hashim, M.H., Harfash, A.J.: Finite element analysis of attraction-repulsion chemotaxis system. Part II: Time convergence, error analysis and numerical results. Commun. Appl. Math. Comput. 4(3), 1057–1104 (2022)
Hassan, S.M., Harfash, A.J.: Finite element approximation of a Keller–Segel model with additional self-and cross-diffusion terms and a logistic source. Commun. Nonlinear Sci. Numer. Simul. 104, 106063 (2022)
Hassan, S.M., Harfash, A.J.: Finite element analysis of a two-species chemotaxis system with two chemicals. Appl. Numer. Math. 182, 148–175 (2022)
Hassan, S.M., Harfash, A.J.: Finite element analysis of the two-competing-species Keller–Segel chemotaxis model. Comput. Math. Model. 33(4), 443–471 (2022)
Hassan, S.M., Harfash, A.J.: Finite element analysis of chemotaxis-growth model with indirect attractant production and logistic source. Int. J. Comput. Math. 100(4), 745–774 (2023)
Al-Juaifri, G.A., Harfash, A.J.: Finite element analysis of nonlinear reaction-diffusion system of Fitzhugh–Nagumo type with robin boundary conditions. Math. Comput. Simul. 203, 486–517 (2023)
Ahmed, N., Rafiq, M., Baleanu, D., Rehman, M.A.: Spatio-temporal numerical modeling of auto-catalytic Brusselator model. Rom. J. Phys. 64, 1–14 (2019)
Twizell, E.H., Wang, Y., Price, W.G.: Chaos-free numerical solutions of reaction-diffusion equations. Proc. R. Soc. Lond. Ser. A Math. Phys. Sci. 430(1880), 541–576 (1990)
Ahmed, N., Rafiq, M., Rehman, M.A., Iqbal, M.S., Ali, M.: Numerical modeling of three dimensional Brusselator reaction diffusion system. AIP Adv. 9(1), 015205 (2019)
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Al-Juaifri, G.A., Harfash, A.J. Numerical analysis of the Brusselator model with Robin boundary conditions. SeMA (2024). https://doi.org/10.1007/s40324-024-00361-9
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DOI: https://doi.org/10.1007/s40324-024-00361-9