A new numerical algorithm for fractional Fitzhugh–Nagumo equation arising in transmission of nerve impulses

The principal objective of this study is to present a new numerical scheme based on a combination of q-homotopy analysis approach and Laplace transform approach to examine the Fitzhugh–Nagumo (F–N) equation of fractional order. The F–N equation describes the transmission of nerve impulses. In order to handle the nonlinear terms, the homotopy polynomials are employed. To validate the results derived by employing the used scheme, we study the F–N equation of arbitrary order by using the fractional reduced differential transform scheme. The error analysis of the proposed approach is also discussed. The outcomes are shown through the graphs and tables that elucidate that the used schemes are very fantastic and accurate.

[1]  Huaying Li,et al.  New exact solutions to the Fitzhugh-Nagumo equation , 2006, Appl. Math. Comput..

[2]  Hanan Batarfi,et al.  On a fractional order Ebola epidemic model , 2015 .

[3]  S. Abbasbandy Soliton solutions for the Fitzhugh–Nagumo equation with the homotopy analysis method , 2008 .

[4]  M. C. Nucci,et al.  The nonclassical method is more general than the direct method for symmetry reductions. An example of the Fitzhugh-Nagumo equation , 1992 .

[5]  Carla M. A. Pinto,et al.  A delay fractional order model for the co-infection of malaria and HIV/AIDS , 2017 .

[6]  I. Podlubny Fractional differential equations , 1998 .

[7]  Takuji Kawahara,et al.  Interactions of traveling fronts: an exact solution of a nonlinear diffusion equation , 1983 .

[8]  Dumitru Baleanu,et al.  A hybrid computational approach for Klein–Gordon equations on Cantor sets , 2017 .

[9]  D. S. Jones,et al.  Differential Equations and Mathematical Biology , 1983 .

[10]  Magdy A. El-Tawil,et al.  On Convergence of q-Homotopy Analysis Method , 2013 .

[11]  D. Jackson Error estimates for the semidiscrete Galerkin approximations of the FitzHugh-Nagumo equations , 1992 .

[12]  Dumitru Baleanu,et al.  Uncertain viscoelastic models with fractional order: A new spectral tau method to study the numerical simulations of the solution , 2017, Commun. Nonlinear Sci. Numer. Simul..

[13]  Zaid Odibat,et al.  An adaptation of homotopy analysis method for reliable treatment of strongly nonlinear problems: construction of homotopy polynomials , 2015 .

[14]  K. Miller,et al.  An Introduction to the Fractional Calculus and Fractional Differential Equations , 1993 .

[15]  M. Dehghan,et al.  Application of semi‐analytic methods for the Fitzhugh–Nagumo equation, which models the transmission of nerve impulses , 2010 .

[16]  Maria E. Schonbek,et al.  Boundary value problems for the Fitzhugh-Nagumo equations , 1978 .

[17]  S. Liao An approximate solution technique not depending on small parameters: A special example , 1995 .

[18]  Shijun Liao,et al.  On the homotopy analysis method for nonlinear problems , 2004, Appl. Math. Comput..

[19]  Devendra Kumar,et al.  A new fractional model for convective straight fins with temperature-dependent thermal conductivity , 2017 .

[20]  J. T. Tenreiro Machado,et al.  Relative fractional dynamics of stock markets , 2016 .

[21]  Devendra Kumar,et al.  Numerical solution of time- and space-fractional coupled Burgers’ equations via homotopy algorithm , 2016 .

[22]  Suheil A. Khuri,et al.  A Laplace decomposition algorithm applied to a class of nonlinear differential equations , 2001 .

[23]  E. Yanagida Stability of travelling front solutions of the Fitzhugh-Nagumo equations , 1989 .

[24]  Haci Mehmet Baskonus,et al.  Active Control of a Chaotic Fractional Order Economic System , 2015, Entropy.

[25]  Ravi P. Agarwal,et al.  A modified numerical scheme and convergence analysis for fractional model of Lienard's equation , 2017, J. Comput. Appl. Math..

[26]  H. Srivastava,et al.  Theory and Applications of Fractional Differential Equations , 2006 .

[27]  Kiyoyuki Tchizawa,et al.  On an Explicit Duck Solution and Delay in the Fitzhugh–Nagumo Equation , 1997 .

[28]  Bernie D. Shizgal,et al.  Pseudospectral method of solution of the Fitzhugh-Nagumo equation , 2009, Math. Comput. Simul..

[29]  Mustafa Turkyilmazoglu,et al.  Convergence of the homotopy analysis method , 2010, 1006.4460.

[30]  F. Mahomed,et al.  Approximate conditional symmetries and approximate solutions of the perturbed Fitzhugh-Nagumo equation , 2005 .

[31]  J. A. Tenreiro Machado,et al.  On the formulation and numerical simulation of distributed-order fractional optimal control problems , 2017, Commun. Nonlinear Sci. Numer. Simul..

[32]  Jordan Hristov,et al.  Transient heat diffusion with a non-singular fading memory: From the Cattaneo constitutive equation with Jeffrey’s Kernel to the Caputo-Fabrizio time-fractional derivative , 2016 .

[33]  Dumitru Baleanu,et al.  On exact traveling-wave solutions for local fractional Korteweg-de Vries equation. , 2016, Chaos.

[34]  Dumitru Baleanu,et al.  Modified Kawahara equation within a fractional derivative with non-singular kernel , 2017 .

[35]  Wenliang Gao,et al.  Existence of wavefronts and impulses to FitzHugh–Nagumo equations , 2004 .

[36]  Praveen Kumar Gupta,et al.  Approximate analytical solutions of fractional Benney-Lin equation by reduced differential transform method and the homotopy perturbation method , 2011, Comput. Math. Appl..

[37]  S. Yoshizawa,et al.  An Active Pulse Transmission Line Simulating Nerve Axon , 1962, Proceedings of the IRE.

[38]  Iqtadar Hussain,et al.  A new comparative study between homotopy analysis transform method and homotopy perturbation transform method on a semi infinite domain , 2012, Math. Comput. Model..

[39]  Devendra Kumar,et al.  An efficient computational technique for local fractional heat conduction equations in fractal media , 2017 .

[40]  S. Liao,et al.  Beyond Perturbation: Introduction to the Homotopy Analysis Method , 2003 .

[41]  Devendra Kumar,et al.  A Reliable Algorithm for a Local Fractional Tricomi Equation Arising in Fractal Transonic Flow , 2016, Entropy.

[42]  R. FitzHugh Impulses and Physiological States in Theoretical Models of Nerve Membrane. , 1961, Biophysical journal.

[43]  Devendra Kumar,et al.  A computational approach for fractional convection-diffusion equation via integral transforms , 2016, Ain Shams Engineering Journal.

[44]  Devendra Kumar,et al.  An efficient analytical technique for fractional model of vibration equation , 2017 .