International Journal of Conceptions on Computing and Information Technology Vol.2, Issue 1, Jan’ 2014; ISSN: 2345 - 9808 The solution of radial diffusivity equation using reduced differential transform method Benedict Iserom Ita Physical and Theoretical Chemistry Group, Dept. of Pure and Applied Chemistry, University of Calabar, Calabar, Nigeria. iserom2001@yahoo.com Abstract— In this paper, a seemingly new mathematical technique, the reduced differential transform method (RDTM) has been applied to solve the radial diffusivity equation of the form: ππ π π ππ ππ + = πππ π ππ ππ Subject to various initial conditions. The result indicates this method (RDTM) to be very effective and simple. It is also consistent with the He’s homotopy perturbation method. Keywords- Adomian decomposition method, He’s perturbation method, Radial diffusivity, Reduced differential transform method, Variational iteration method. I. INTRODUCTION Many physical problems are clearly understood using mathematical models involving partial differential equations (PDEs). Most of these equations are very difficult to solve for their exact analytical solutions except in few cases. Therefore, we often times attempt to develop new techniques to enable us obtain an approximate solution as close as possible to the exact ones. The contemporary mathematical researches try to investigate such phenomenon using homotopy analysis method (HAM) [1], Adomian decomposition method (ADM) [2], the variational iteration method (VIM) [3], He’s homotopy perturbation method [4], differential transformation method [5], just to cite a few methods. The main aim of this paper is to apply the reduced differential transform method (RDTM) [6 – 16] to solve the radial diffusivity equation given as: π2 π ππ 2 + 1 ππ π ππ = ππ ππ‘ (1) Subject to the initial conditions given as: a) π(π, 0) = π (2) π) π(π₯, π) = π πππ, π)π(π₯, 0) = 1 + π 2 Similar equation to equation (1) has been solved by Neyrameh et al [4] using He’s homotopy perturbation method. We also compare our results with that obtained by Neyrameh et al [4] to show the simplicity and efficacy of the RDTM to solve the radial diffusivity equation. The reduced differential transform method (RDTM) The basic definitions of the RDTM are well elaborated to include [7 – 10]: Definition 1: If the function π(π₯, π‘) is analytic and continuously differentiable with respect to both space and time, then we write that: πΉπ (π₯) = 1 [ ππ π! ππ‘ π π(π₯, π‘)] (3) π‘=0 In equation (3), the t-dimensional spectrum function πΉπ (π₯) is the transformed function whereas π(π₯, π‘) is the original function. Definition 2 [7 – 10]: The differential inverse of πΉπ (π₯)is defined as: π(π₯, π‘) = ∑∞π=0 πΉπ (π₯)π‘ π (4) A combination of equations (3) and (4) then gives: 1 π(π₯, π‘) = ∑∞π=0 [ ππ π! ππ‘ π π(π₯, π‘)] π‘=0 (5) As stated by Taha [16], the concept of the reduced differential transform method is derived from the power series expansion. Moreover, the fundamental theorems of reduced differential transform method (RDTM) stated without proofs are given below [16]: Theorem 1: If π(π₯, π‘) = π(π₯, π‘) ± π(π₯, π‘) is the original function, then the transformed function will be given as ππ (π₯) = πΉπ (π₯) ± πΊπ (π₯). Theorem 2: If the original function is given as π(π₯, π‘) = π½π(π₯, π‘) then the transformed function will be gives as ππ (π₯) = π½πΉπ (π₯); π½ is a constant. Theorem 3: If the original function is given as π(π₯, π‘) = π₯ π π‘ π then the transformed function will be given as ππ (π₯) = 1, π = 0 π₯ π πΏ(π − π), πΏ(π) = { . 0, π ≠ 0 104 | P a g e International Journal of Conceptions on Computing and Information Technology Vol.2, Issue 1, Jan’ 2014; ISSN: 2345 - 9808 Theorem 4: If the original function is given as π(π₯, π‘) = π₯ π π‘ π π(π₯, π‘) then the transformed function will be given as ππ (π₯) = π₯ π πΉπ−π (π₯). Equation (12) in closed form becomes [4]: Theorem 5: If the original function is given as π(π₯, π‘) = π(π₯, π‘)π(π₯, π‘) then the transformed function will be given asππ (π₯) = ∑ππ=0 πΊπ πΉπ−π (π₯) = ∑ππ=0 πΉπ πΊπ−π (π₯). Equation (13) gives the exact solution to the problem. π(π₯, π‘) = π + ∑∞ π₯=1 1 1 π πππ + πππ π⁄π 3 − πππ π⁄π 2 2 1 πππ π + (−πππ π − ⁄π 2 − π πππ⁄π ) π 2 = Theorem 7: If the original function is given as π(π₯, π‘) = π(π₯, π‘) then the transformed function will be given as ππ (π₯) = And for condition (c) we get π πΉ (π₯). ππ₯ π c)r(x, 0) = 1 + r 2 , f1 = 4, f2 = 0, f3 = 0, f4 = 0, fn = 0, n >1 Theorem 8: If the original function is given as π(π₯, π‘) = π2 ππ₯ 2 π(π₯, π‘) then the transformed function will be given asππ (π₯) = π2 ππ₯ 2 πΉπ (π₯). Solution of the radial diffusivity equation using RDTM The radial diffusivity equation solved is of the form [4]: π2 π ππ 2 + 1 ππ π ππ = ππ (6) ππ‘ II. REFERENCES a)π(π, 0) = π (7) πΉ (π) ππ 2 π 1 π + πΉ (π) π ππ π (8) Where πΉπ (π) is the transformed function. The initial condition (7) reveals that πΉ0 (π) = π (9) Making use of equation (9), equation (8) yields successive values of πΉπ (π) as: πΉ1 (π) = 1 (10a) π 1 πΉ2 (π) = 2π 3 πΉ3 (π) = 2π 5 πΉ4 (π) = 8π 7 πΉ5 (π) = (10b) 3 (10c) 75 (10d) 735 (10e) 8π 9 The results of equations 10 (a – e) reveal that π π(π₯, π‘) = ∑∞ π=0 πΉπ (π₯)π‘ (11) yields: π‘ π‘2 π 2π 3 π(π₯, π‘) = π + + + 3π‘ 3 2π 5 + 75π‘ 4 8π 7 + 735π‘ 5 8π 9 +β― M. Ganjiani & H. Ganjiani, “Solution of coupled system of nonlinear differential equations using homotopy analysis method,” Nonlinear Dynamics, vol. 56, pp. 159 – 167, 2009. [2] G. Adomian, “Solving frontier problems of physics: The decomposition method,” Boston: Kluwer Academic, 1994. [3] J. H. He, “Variational iteration method for autonomous ordinary differential systems,” Applied Mathematics & Computation, vol. 114, pp. 115 – 123, 2000. [4] H. Neyrameh, M. Ebrahimi and A. Roozi, “Analytical solution of diffusivity equation in radial form,” World Applied Sciences Journal, vol. 10, pp. 764 – 768, 2010. [5] A. Gokdogan, M. Merdan and A. Yildirim, “Differential transform method for solving a neutral functional-differential equation with proportional delays,” Caspian Journal of Mathematical Science, vol. 1, pp. 27 – 33, 2012. [6] Y. Keskin and G.Oturanc, “Reduced differential transform method for generalized KdV equations, Mathematics and Computer Application,” vol. 15, pp. 382 – 393, 2010. [7] Y. Keskin, I. Caglar and A. B. Koc, “Numerical solution of Sine – Gordon equation by reduced differential transform method in Proceedings of the World Congress on Engineering,” July 6 – 8, London, U.K., 2011. [8] Y. Keskin and G. Oturanc, “Numerical solution of regularized long wave equation by reduced differential transform method,” Applied Mathematical Sciences, vol. 4, pp. 1221 – 1231, 2010. [9] R. Abazari, “Numerical simulation of coupled nonlinear Schrodinger equation by RDTM and comparison with DTM, Journal of Applied Sciences,” vol. 11, pp. 3454 – 3463, 2011. [10] A. Secer, “Solving time – frational reaction – diffusion equation by reduced differential transform method,” International Journal of Computer Science in emerging Technology, vol. 3, pp. 19 – 22, 2012. [11] R. Arora, M. J.Siddiqui and V. P. Singh, “Solution of the modified equal width equation, its variant and non – homogeneous Burger’s [1] The recursion formula for the reduced differential transform of equation (6) is: π2 CONCLUSION In this paper, we have successfully applied a seemingly novel technique, the reduced differential transform method to solve the radial diffusivity equation. The result obtained is exactly the same as that obtained by Neyrameh [4] using He’s homotopy perturbation method. We also state therefore that the reduced differential transform method is effective, reliable and easy to use. Subject to the initial condition given as: (π + 1)πΉπ+1 (π) = (13) π) π(π₯, π) = π πππ, π1 Theorem 6: If the original function is given as π(π₯, π‘) = π(π₯, π‘) then the transformed function will be given ππ‘ π asππ (π₯) = (π + 1) … (π + π)πΉπ+π (π₯). ππ₯ π₯!×π 2π₯−1 Similarly for condition (b) we get ππ π 12 ×32 ×β―×(2π₯−3)2 π‘ π₯ (12) 105 | P a g e International Journal of Conceptions on Computing and Information Technology Vol.2, Issue 1, Jan’ 2014; ISSN: 2345 - 9808 equation by RDT method,” American Journal of Computational and Applied Mathematics, vol. 1, pp. 53 – 56, 2011. [12] Y. Keskin and G. Oturanc, “Application of reduced differential transformation method for solving gas dynamics equation,” International Journal of Contemporary Mathematical sciences, vol. 5, pp. 1091 – 1096, 2010. [13] Y. Keskin, S.Servi and G. Oturanc, “Reduced differential transform method for solving Klein – Gordon equations in Proceedings of the World Congress on Engineering,” 1, July 6 – 8, London, U. K., 2011. [14] Y. Keskin and G. Oturanc, “Reduced differential transform for solving linear and nonlinear wave equations,” Iranian Journal of Science and Technology, Transaction A, vol. 34, pp. 113 – 122, 2010. [15] N. Taghizadeh M. Akbari and M. Shahidi, “Application of reduced differential transform method to the Wu – Zhang equation,” Australian Journal of Basic and Applied Sciences, vol. 5, pp. 565 – 571, 2011. [16] B. Taha, “The use of reduced differential transform method for solving partial differential equations with variable coefficients,” Journal of Basrah Research (Sciences), vol. 37, pp. 226 – 233, 2011. 106 | P a g e