On the Numerical Solution of Widely Used 2D Stochastic Partial‎ ‎Differential‎ ‎Equation in Representing‎ ‎Reaction-Diffusion Processes

Document Type : Research Paper

Authors

1 Department of Mathematics, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran & Department of Basic Science‎, ‎Kermanshah University of Technology‎, ‎Kermanshah‎, ‎Iran

2 Department of Mathematics, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran

10.22052/ijmc.2024.254381.1830

Abstract

In this paper, a combined methodology based on the method of lines (MOL) and spline is implemented to simulate the solution of a two-dimensional (2D) stochastic fractional telegraph equation with Caputo fractional derivatives of order α and β where 1 < α, β ≤ 2. In this approach, the spatial directions are discretized by selecting some equidistance mesh points. Then fractional derivatives are estimated via linear spline approximation and some finite difference formulas. After substituting these estimations in the semi-discretization equation, the considered problem is transformed into a system of second-order initial value problems (IVPs), which is solved by using an ordinary differential equations (ODEs) solver technique in Matlab software. Also, it is proved that the rate of convergence is O(∆x2 + ∆y2), where ∆x and ∆y denote the spatial step size in x and y directions, respectively. Finally, two examples are included to confirm the efficiency of the suggested method.

Keywords

Main Subjects


[1] M. Lakestani and B. N. Saray, Numerical solution of telegraph equation using interpolating scaling functions, Comput. Math. Appl. 60 (2010) 1964–1972, https://doi.org/10.1016/j.camwa.2010.07.030.
[2] P. M. Jordan and A. Puri, Digital signal propagation in dispersive media, J. Appl. Phys. 85 (1999) 1273–1282.
[3] V. H. Weston and S. He, Wave splitting of the telegraph equation in R3 and its application to inverse scattering, Inverse Probl. 9 (1993) p. 789, https://doi.org/10.1088/0266-5611/9/6/013.
[4] Y. H. Youssri and W. M. Abd-Elhameed, Numerical spectral Legendre-Galerkin algorithm for solving time fractional telegraph equation, Rom. J. Phys. 63 (2018) 1–16.
[5] O. Tasbozan and A. Esen, Quadratic B-spline Galerkin method for numerical solutions of fractional telegraph equations, Bull. Math. Sci. Appl. 18 (2017) 23–39.
[6] O. Tasbozan and A. Esen, Collocation solutions for the time fractional telegraph equation using cubic B-spline finite elements, An. Univ. Vest Timis. Ser. Mat.-Inform. 57 (2019) 131–144, https://doi.org/10.2478/awutm-2019-0020.
[7] E. Shivanian, S. Abbasbandy and A. Khodayari, Numerical simulation of 1D linear telegraph equation with variable coefficients using meshless local radial point interpolation (MLRPI), Int. J. Ind. Math. 10 (2018) 151–164.
[8] A. H. Bhrawy, M. A. Zaky and J. A. T. Machado, Numerical solution of the two-sided space–time fractional telegraph equation via Chebyshev tau approximation, J. Optim. Theory Appl. 174 (2017) 321–341, https://doi.org/10.1007/s10957-016-0863-8.
[9] V. R. Hosseini, W. Chen and Z. Avazzadeh, Numerical solution of fractional telegraph equation by using radial basis functions, Eng. Anal. Bound. Elem. 38 (2014) 31–39, https://doi.org/10.1016/j.enganabound.2013.10.009.
[10] S. Yüzbası and M. Karaçayır, A Galerkin-like scheme to solve two-dimensional telegraph equation using collocation points in initial and boundary conditions, Comput. Math. Appl. 74 (2017) 3242–3249, https://doi.org/10.1016/j.camwa.2017.08.020.
[11] S. Singh, V. K. Patel, V. K. Singh and E. Tohidi, Application of Bernoulli matrix method for solving two-dimensional hyperbolic telegraph equations with Dirichlet boundary conditions, Comput. Math. Appl. 75 (2018) 2280–2294, https://doi.org/10.1016/j.camwa.2017.12.003.
[12] D. Rostamy, M. Emamjome and S. Abbasbandy, A meshless technique based on the pseudospectral radial basis functions method for solving the two-dimensional hyperbolic telegraph equation, Eur. Phys. J. Plus. 132 (2017) 1–11, https://doi.org/10.1140/epjp/i2017-11529-2.
[13] E. Shivanian, Spectral meshless radial point interpolation (SMRPI) method to twodimensional fractional telegraph equation, Math. Methods Appl. Sci. 39 (2016) 1820–1835, https://doi.org/10.1002/mma.3604.
[14] N. Samadyar and F. Mirzaee, Numerical solution of two-dimensional weakly singular stochastic integral equations on non-rectangular domains via radial basis functions, Eng. Anal. Bound. Elem. 101 (2019) 27–36, https://doi.org/10.1016/j.enganabound.2018.12.008.
[15] M. H. Heydari, M. R. Hooshmandasl, F. M. Maalek Ghaini and C. Cattani, A computational method for solving stochastic Itô–Volterra integral equations based on stochastic operational matrix for generalized hat basis functions, J. Comput. Phys. 270 (2014) 402–415, https://doi.org/10.1016/j.jcp.2014.03.064.
[16] F. Mirzaee, S. Alipour and N. Samadyar, Numerical solution based on hybrid of blockpulse and parabolic functions for solving a system of nonlinear stochastic Itô–Volterra integral equations of fractional order, J. Comput. Appl. Math. 349 (2019) 157–171, https://doi.org/10.1016/j.cam.2018.09.040.
[17] F. Mirzaee and N. Samadyar, On the numerical solution of stochastic quadratic integral equations via operational matrix method, Math. Methods Appl. Sci. 41 (2018) 4465–4479, https://doi.org/10.1002/mma.4907.
[18] R. Zeghdane, Numerical solution of stochastic integral equations by using Bernoulli operational matrix, Math. Comput. Simulation 165 (2019) 238–254, https://doi.org/10.1016/j.matcom.2019.03.005.
[19] F. Mirzaee, N. Samadyar and S. F. Hoseini, Euler polynomial solutions of nonlinear stochastic Itô–Volterra integral equations, J. Comput. Appl. Math. 330 (2018) 574–585, https://doi.org/10.1016/j.cam.2017.09.005.
[20] M. Dehghan and M. Shirzadi, Numerical solution of stochastic elliptic partial differential equations using the meshless method of radial basis functions, Eng. Anal. Bound. Elem. 50 (2015) 291–303, https://doi.org/10.1016/j.enganabound.2014.08.013.
[21] A. Barth and T. Stüwe, Weak convergence of Galerkin approximations of stochastic partial differential equations driven by additive Lévy noise, Math. Comput. Simul. 143 (2018) 215–225, https://doi.org/10.1016/j.matcom.2017.03.007.
[22] M. Dehghan and M. Shirzadi, A meshless method based on the dual reciprocity method for one-dimensional stochastic partial differential equations, Numer. Methods Partial Differential Equations 32 (2016) 292–306, https://doi.org/10.1002/num.21995.
[23] M. Dehghan and M. Shirzadi, Meshless simulation of stochastic advection–diffusion equations based on radial basis functions, Eng. Anal. Bound. Elem. 53 (2015) 18–26, https://doi.org/10.1016/j.enganabound.2014.11.011.
[24] F. Mirzaee and N. Samadyar, Combination of finite difference method and meshless method based on radial basis functions to solve fractional stochastic advection–diffusion equations, Eng. Comput. 36 (2020) 1673–1686, https://doi.org/10.1007/s00366-019-00789-y.
[25] M. H. Heydari, M. R. Hooshmandasl, G. Barid Loghmani and C. Cattani, Wavelets Galerkin method for solving stochastic heat equation, Int. J. Comput. Math. 93 (2016) 1579–1596, https://doi.org/10.1080/00207160.2015.1067311.
[26] Y. Salehi, M. T. Darvishi and W. E. Schiesser, Numerical solution of space fractional diffusion equation by the method of lines and splines, Appl. Math. Comput. 336 (2018) 465–480, https://doi.org/10.1016/j.amc.2018.04.053.
[27] S. Kazem and M. Dehghan, Semi-analytical solution for time-fractional diffusion equation based on finite difference method of lines (MOL), Eng. Comput. 35 (2019) 229–241, https://doi.org/10.1007/s00366-018-0595-5.
[28] M. F. Causley, H. Cho, A. J. Christlieb and D. C. Seal, Method of lines transpose: high order L-stable O(N) schemes for parabolic equations using successive convolution, SIAM J. Numer. Anal. 54 (2016) 1635–1652, https://doi.org/10.1137/15M1035094.
[29] S. Hamdi, W. H. Enright, Y. Ouellet and W. E. Schiesser, Method of lines solutions of the extended Boussinesq equations, J. Comput. Appl. Math. 183 (2005) 327–342, https://doi.org/10.1016/j.cam.2004.12.036.
[30] P. Rahimkhani, Y. Ordokhani and P. M. Lima, An improved composite collocation method for distributed-order fractional differential equations based on fractional Chelyshkov wavelets, Appl. Numer. Math. 145 (2019) 1–27,
https://doi.org/10.1016/j.apnum.2019.05.023.
[31] E. Keshavarz and Y. Ordokhani, A fast numerical algorithm based on the Taylor wavelets for solving the fractional integro-differential equations with weakly singular kernels, Math. Methods Appl. Sci. 42 (2019) 4427–4443, https://doi.org/10.1002/mma.5663.