Application of Sumudu Decomposition Method to Solve Nonlinear System Volterra Integrodifferential Equations

Abstract

We develop a method to obtain approximate solutions for nonlinear systems of Volterra integrodifferential equations with the help of Sumudu decomposition method (SDM). The technique is based on the application of Sumudu transform to nonlinear coupled Volterra integrodifferential equations. The nonlinear term can easily be handled with the help of Adomian polynomials. We illustrate this technique with the help of three examples and results of the present technique have close agreement with approximate solutions which were obtained with the help of Adomian decomposition method (ADM).

1. Introduction

The linear and nonlinear Volterra integral equations arise in many scientific fields such as the population dynamics, spread of epidemics, and semiconductor devices; for more details, see [1]. The scientists in different branches of science have been trying to solve this kind of problems; however, finding an exact solution is not easy due to the nonlinear part of these type groups of equations. Different analytical methods have been developed and applied to find a solution. For example, Adomian has introduced a so-called decomposition method for solving algebraic, differential, integrodifferential, differential-delay, and partial differential equations. In the nonlinear case for ordinary differential equations and partial differential equations, the method has the advantage of dealing directly with the problem [2, 3]. These equations are solved without transforming them to equivalent form which is more simple. The method avoids linearization, perturbation, discretization, or any unrealistic assumptions; see [4, 5]. It was also suggested in [6] that the noise terms appear always for inhomogeneous equations. Thus, most recently, Wazwaz [7] established a necessary condition that is essentially needed to ensure the appearance of “noise terms” in the inhomogeneous equations.

The integral transform has been used to solve many different types of differential and integrodifferential equations. For similar problems, Sumudu transform was introduced and further applied to several ODEs as well as PDEs. For example, in [8], this transform was applied to the one-dimensional neutron transport equation. In [9], Sumudu transform was extended to the distributions and some of their properties were also studied in [10]. Recently, Kılıçman et al. applied this transform to solve the system of differential equations (see [11]), since there are some interesting properties that Sumudu transform satisfies such as if see [12].

In the present paper, the intimate connection between Sumudu transform theory and decomposition method arising in the solution of nonlinear Volterra integrodifferential equation is demonstrated.

During the study, we use Sumudu transform which is defined over the set of the following functions: by the following formula:

Theorem 1. Let be in , and let denote Sumudu transform of derivative, of ; then, for ,
For more details, see [13].

Recall that Sumudu transform of the convolution product is given by

We consider general nonlinear Volterra integrodifferential equation:

To solve the nonlinear Volterra integrodifferential equations by using Sumudu transform method, it is essential to use Sumudu transforms of the derivatives of . We can easily show that

Applying Sumudu transform to both sides of (7) gives by arrangement, we have

The second step in Sumudu decomposition method is that we represent the solution as an infinite series given by and the nonlinear term can be decomposed as where are Adomian polynomials [7] of , , and they can be calculated by the following formula: where the so-called Adomian polynomials can be evaluated for all forms of nonlinearity. General formula (12) can be easily used as follows.

Assuming that the nonlinear function is , therefore, by using (12), Adomian polynomials are given by

Substitution of (10) and (11) into (9) yields

On comparing both sides of (14) and by using standard ADM we have Then it follows that

More generally way, we have

Combined Sumudu transform-Adomian decomposition method for solving nonlinear Volterra integrodifferential equations of the second kind will be illustrated by studying the following example.

Example 2. Consider solving the nonlinear Volterra integrodifferential equation by using combined Sumudu transform-Adomian decomposition method:
By applying Sumudu transform to both sides of (18) we obtain or equivalently
Substituting the series assumption for and Adomian polynomials for as given above in (10) and (12), respectively, by using the recursive relation equation (14), we obtain
Recall that Adomian polynomials for are given by
Taking the inverse Sumudu transform of both sides of the first part of (21) and using the recursive relation equation (21) give
By using (10), we obtain the series solution as follows:
The exact solution is given by

In the next problem, we apply the combined Sumudu transform-Adomian decomposition method. The standard form of the nonlinear Volterra integrodifferential equation of the first kind is given by

On using Sumudu transform for both sides of (26) and using (5), we get So we have where

We now use Adomian decomposition method to handle (29). Substituting (10) and (11) into (29),

The Adomian decomposition method admits the use of the following recursive relation:

Example 3. Solve the following nonlinear Volterra integrodifferential equation of the first kind by the combined Sumudu transform-Adomian decomposition method:
By applying Sumudu transforms to both sides of (33), we have
Substituting the series assumption for and Adomian polynomials for and using (15) and (17), we obtain
Taking the inverse Sumudu transform of both sides of (35) and using the recursive relation equation (36) give
The series solution is given by and the exact solution is

2. Systems of Nonlinear Volterra Integrodifferential Equations

In this section, we will study systems of nonlinear Volterra integrodifferential equations of the second kind by combined Sumudu transform-Adomian decomposition method.

Consider systems of nonlinear Volterra integrodifferential equations of the second kind as follows:

Applying Sumudu transforms to both sides of (40), we have

After rearrangement, we get

To overcome the difficulty of the nonlinear terms , , we apply Adomian decomposition method for handling (42) and (43). To achieve this goal, we first represent the linear terms and at the left side by an infinite series of components given by and the nonlinear terms at the right side of (42) and (43) by where Adomian polynomials , , can be obtained for all forms of nonlinearity. Substituting (44) and (45) into (42) and (43) leads to

Adomian decomposition method admits the use of the following recursive relations:

The combined Sumudu transform-Adomian decomposition method for solving systems of nonlinear Volterra integrodifferential equations of the second kind will be illustrated by studying the following example.

Example 4. Solve the system of nonlinear Volterra integrodifferential equation by using the combined Sumudu transform-Adomian decomposition method:
Taking Sumudu transforms of both sides of (49), we obtain
By using (48), we have
Recall that Adomian polynomials for and are given by
Taking the inverse Sumudu transform of both sides of (48) and using the recursive relation equations (48), we obtain the solution as follows:
Then the solution for the above system is given by

3. Conclusion

Sumudu transform-Adomian decomposition method has been applied to a system of nonlinear Volterra integrodifferential equations. Three examples have been presented; the method is very useful and reliable for any type of Volterra integrodifferential equations systems. Therefore, this method can even be applied to many complicated linear and nonlinear Volterra integrodifferential equations.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgment

The authors would like to extend their sincere appreciation to the Deanship of Scientific Research at King Saud University for its funding of this research through the Research Group Project no. RGP-VPP-117.