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Structure preserving computational technique for fractional order Schnakenberg model

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Abstract

The current article deals with the analysis and numerical solution of fractional order Schnakenberg (S-B) model. This model is a system of autocatalytic reactions by nature, which arises in many biological systems. This study is aiming at investigating the behavior of natural phenomena with a more realistic and practical approach. The solutions are obtained by applying the Grunwald–Letnikov (G–L) finite difference (FD) and the proposed G–L nonstandard finite difference (NSFD) computational schemes. The proposed formulation is explicit in nature, strongly structure preserving as well as it is independent of the time step size. One very important feature of our proposed scheme is that it preserves the positivity of the solution of continuous fractional order S-B model because the unknown variables involved in this system describe the chemical concentrations of different substances. The comparison of the proposed scheme with G–L FD method reflects the significance of the said method.

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References

  • Ahmed N, Rafiq M, Baleanu D, Rehman MA (2019) Spatio-temporal numerical modeling of auto-catalytic Brusselator model. Rom J Phys 64:110

    Google Scholar 

  • Ahmed N, Rafiq M, Rehman MA, Iqbal MS, Ali M (2019) Numerical modelling of three dimensional Brusselator reaction diffusion system. AIP Adv 9:015205

    Article  Google Scholar 

  • Ahmed N, Tahira SS, Rafiq M, Rehman MA, Ali M, Ahmad MO (2019) Positivity preserving operator splitting nonstandard finite difference methods for SEIR reaction diffusion model. Open Math 17:313–330

    Article  MathSciNet  Google Scholar 

  • Almeida R (2017) What is the best fractional derivative to fil data? Appl Anal Discrete Math 11:358–368

    Article  MathSciNet  Google Scholar 

  • Ameen I, Novati P (2017) The solution of fractional order epidemic model by implicit Adams methods. Appl Math Model 43:78–84

    Article  MathSciNet  Google Scholar 

  • Arenas AJ, Gonzalez G, Chen Charpentier B (2016) Construction of nonstandard finite difference schemes for the SI and SIR epidemic models of fractional order. Math Comput Simul 21:48–63

    Article  MathSciNet  Google Scholar 

  • Baleanu D, Fernandez A (2019) On fractional operators and their classification. Mathematics 7(9):830

    Article  Google Scholar 

  • Baleanu D, Mustafa OG (2015) Asymptotic integration and stability: for ordinary, functional and discrete differential equations of fractional order. Series on complexity, nonlinearity and Chaos. World Scientific Publishing Company, Singapore

    Book  Google Scholar 

  • Baleanu D, Machado JAT, Guvenç ZB (2009) New trends in nanotechnology and fractional calculus applications. Springer, Dordrecht

    Google Scholar 

  • Baleanu D, Machado JAT, Luo ACJ (2011) Fractional dynamics and control. Springer, New York

    Google Scholar 

  • Baleanu D, Asad J, Petras I (2014) Fractional Bateman–Feshbach Tikochinsky oscillator. Commun Theor Phys 61(2):221–225

    Article  Google Scholar 

  • Baleanu D, Magin R, Bhalekar S, Daftardar-Gejji V (2015) Chaos in the fractional order nonlinear Bloch equation with delay. Commun Nonlinear Sci Numer Simul 25(1–3):41–49

    Article  MathSciNet  Google Scholar 

  • Baleanu D, Diethelm K, Scalas E, Trujillo JJ (2016) Fractional calculus: models and numerical methods. World Scientific, Singapore

    Book  Google Scholar 

  • Baleanu D, Jajarmi A, Sajjadi SS, Mozyrska D (2019) A new fractional model and optimal control of a tumor-immune surveillance with non-singular derivative operator. Chaos Interdiscip J Nonlinear Sci 29(8):083127

    Article  MathSciNet  Google Scholar 

  • Caputo M (1967) Linear model of dissipation whose Q is almost frequency independent—II. Geophys J Int 13(5):529–539

    Article  Google Scholar 

  • Caputo M (2014) The role of memory in modeling social and economic cycles of extreme events. A handbook of alternative theories of public economics. Edward Elgar Publishing, Cheltenham, pp 245–259

    Google Scholar 

  • Cooper G, Cowan D (2003) The application of fractional calculus to potential field data. Explor Geophys 34:51–56

    Article  Google Scholar 

  • Fatima U, Ali M, Ahmed N (2018) Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics. Heliyon 4:e00631

    Article  Google Scholar 

  • Francisco Fernandez M (2009) On some approximate methods for nonlinear models. Appl Math Comput 215:168–174

    MathSciNet  MATH  Google Scholar 

  • Hajipour M, Jajarmi A, Baleanu D (2018) An efficient non-standard finite difference scheme for a class of fractional chaotic systems. J Comput Nonlinear Dynam 13(2):021013

    Article  Google Scholar 

  • Hammouch Z, Mekkaoui T, Belgacem FBM (2014) Numerical simulations for a variable order fractional Schnakenberg model. In: AIP conference proceeding, pp 1450–1637

  • Haq F, Shah K, ur Rahman G, Li Y, Shahzad M (2018) Computational analysis of complex population dynamical model with arbitrary order. Complexity 1–8

  • Khan MA, Hammouch Z, Baleanu D (2019) Modeling the dynamics of hepatitis E via the Caputo–Fabrizio derivative. Math Model Nat Phenom 14(3):311

    Article  MathSciNet  Google Scholar 

  • Mickens RE (1994) Nonstandard finite difference models of differential equations. World Scientific, Singapore

    MATH  Google Scholar 

  • Ongun M, Arslan D, Garrappa R (2013) Nonstandard finite difference schemes for a fractional-order Brusselator system. Adv Differ Equ 2013:102. https://doi.org/10.1186/1687-1847-2013-102

  • Ortigueira M, Machado J (2017) Which derivative? Fractal Fract 1(1):3

    Article  Google Scholar 

  • Podlubny I (1999) Fractional differential equations, mathematics in science and engineering. Academic Press, New York

    MATH  Google Scholar 

  • Scherer R, Kalla S, Tang Y, Huang J (2011) The Grunwald–Letnikov method for fractional differential equations. Comput Math Appl 62:902–917

    Article  MathSciNet  Google Scholar 

  • Schnakenberg J (1979) Simple chemical reaction systems with limit cycle behaviour. J Theor Biol 81:389–400

    Article  MathSciNet  Google Scholar 

  • Suryanto A, Darti I (2017) Stability analysis and nonstandard Grünwald–Letnikov scheme for a fractional order predator-prey model with ratio-dependent functional response. In: AIP conference proceedings, vol 1913, p 020011

  • Sweilam NH, Nagy AM, Elpahri LE (2019) Nonstandard finite difference scheme for the fractional order Salmonella transmission model. J Fract Calc Appl 10(1):197–212

    MathSciNet  Google Scholar 

  • Veeresha P, Prakasha DG, Baskonus HM (2019) Solving smoking epidemic model of fractional order using a modified homotopy analysis transform method. Math Sci. https://doi.org/10.1007/s40096-019-0284-6

  • Xie W, Xu J, Cai L, Lin Z (2017) Dynamic preserving method with changeable memory length of fractional-order chaotic system. Int J Nonlinear Mech 92:59–65

    Article  Google Scholar 

  • Yang XJ, Gao F, Srivastava HM (2017) New rheological models within local fractional derivative. Rom Rep Phys 69:113

    Google Scholar 

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Acknowledgements

We would like to express our sincere thanks to reviewers for the careful reading and helpful remarks of our paper.

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Correspondence to Nauman Ahmed.

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Communicated by José Tenreiro Machado.

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Iqbal, Z., Ahmed, N., Baleanu, D. et al. Structure preserving computational technique for fractional order Schnakenberg model. Comp. Appl. Math. 39, 61 (2020). https://doi.org/10.1007/s40314-020-1068-1

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  • DOI: https://doi.org/10.1007/s40314-020-1068-1

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