A New Approach to Linear and Nonlinear Schrödinger Equations Using the Natural Decomposition Method

In this paper, we proposed a new computational algorithms called a new approach to linear and nonlinear Schrödinger equations using the Natural Decomposition Method (NDM). The proposed method is a combination of the Natural transform Method (NTM) and Adomian Decomposition Method (ADM). The new computational algorithms is applied directly without using any transformation, linearization, discretization or taking some restrictive assumptions. Exact solutions of two illustrative examples was successfully fund using the proposed method, and the results are compared with the results of the existing methods. This shows the reliability, efficiency, and accuracy of the proposed method. Mathematics Subject Classification: 35Q55, 35Q40, 35K45


Introduction
The linear and nonlinear Schrödinger equation are one of the most important partial differential equations in quantum mechanics.Those equations arises in the study of the time evolution of the wave function.The linear Schrödinger equation describes the time evolution of a free particle with mass m, and its standard form is given by: v t (x, t) = iv xx , i 2 = −1, t > 0, (1.1) subject to the initial condition where f (x) is a continuous function and square integrable.While the nonlinear Schrödinger equation is a solitary wave equation, where the speed of propagation is independent of the amplitude of the wave function, and its standard form is given by: subject to the initial condition v(x, 0) = f (x), (1.4) where α is a constant term and v(x, t) is complex.
In this article, we proposed a new approach called the Natural Decomposition Method (NDM) for solving linear and nonlinear Schrödinger equations.The new method always lead to exact or approximate solution in form of a rapidly convergence series with elegant computational terms.The proposed method is a combination of the Natural transform method (NTM) and Adomian Decomposition method (ADM).Using the proposed method, we successfully fund exact solutions of two illustrative examples, and the results are compared with the results of the existing methods.This proved the reliability, accuracy and flexibility of the new method.Thus, the Natural Decomposition Method is a powerful mathematical tool for solving linear and nonlinear Schrödinger equations.
The remaining structure of this paper is organized as follows: In Section 2, we begin with the basic definitions and properties of the Natural transform.In section 3, we present the Methodology of the Natural Decomposition Method.
In Section 4, we give some numerical applications of the (NDM) to show its effectiveness and accuracy.Finally, section 5 and 6 contained the conclusion and references of this paper.

Basic Definitions and Properties of the Natural transform
In this section, we present some definitions and properties of the Natural transform.

Definition:
The Natural transform of the function f (t) ∈ A, for t ∈ (0, ∞) is defined by [14,15]: where N + [f (t)] is the Natural transformation of the time function ) and the variables s and u are the Natural transform variables.Below, we present some basic theorem of the Natural transform method [14,15,16]: Remark The Natural transform is a linear operator.That is, if α and β are non-zero constants, then Moreover, F + (s, u) and G + (s, u) are the Natural transforms of f (t) and g(t), respectively.
Table 1.List of some special Natural transforms and their conversion to Sumudu and Laplace integral transform.

Methodology of the Natural Decomposition Method
In this section, we illustrate the computational algorithm of the Natural Decomposition Method (NDM) to standard nonlinear Schrödinger Eq. (1.3) − (1.4): subject to the initial condition where α is a constant term and v(x, t) is complex.We begin by applying the Natural transform on both sides of Eq. (3.1), we obtain: Substituting the given initials conditions of Eq. (3.2) into Eq.(3.3), we obtain: Taking the inverse Natural transform of Eq. (3.4), we obtain where f (x) is the source terms, v(x, t) is the unknown function of the nonlinear term |v(x, t)| 2 v(x, t).Now we assume an infinite series solutions for the unknown functions v(x, t) of the form: Moreover, the nonlinear terms |v| 2 v = v 2 v can easily be decomposed as follows: where A n is an Adomian polynomials which can easily be evaluated using the following formula: where n = 0, 1, 2, • • • Besides, some components of A n are computed below: , and so on.By substituting Eq. (3.6) and Eq.(3.7) into Eq.(3.5), we obtain: Then by comparing both sides of Eq. (3.9), we can easily generate the recursive relation as follows: and so on.Thus, the general recursive relation of the unknown function v(x, t) is given by: Hence, the exact or approximate solutions of the unknown function v(x, t) is given by:

Applications
In this section, we apply the Natural Decomposition Method (NDM) to some Linear and Nonlinear Schrödinger equations to show its simplicity, accuracy and reliability.
Example 4.1 Consider the Linear Schrödinger equation of the form: subject to the initial condition v(x, 0) = sin(kx), ( where k is constant.Applying the Natural transform on both sides of Eq. ( 4.1), we obtain: Substituting the given initial condition of Eq. ( 4.2) into Eq.( 4.3), we have: Taking the inverse N-Transform of Eq. ( 4.4), we obtain:

.5)
We now assume an infinite series solution of the unknown function v(x, t) of the form: Then by using Eq. ( 4.6), we can re-write Eq. (4.5) in the form: Comparing both sides of Eq. ( 4.7), we can easily generate the recursive relation as follows: and so on.Thus, the general recursive relation is given by: Using the general recursive relation, we can easily compute the remaining components of the unknown function (x, t) as follows: and so on.Hence, the series solution of the unknown function v(x, t) is given by: Thus, the exact solution of the Schrodinger equation (4.1)-( 4.2) is given by: The exact solution is in closed agreement with the result obtained by (ADM) [4] and (VIM) [4,5].

Example 4.2 Consider the following nonlinear Schrödinger equation of the form:
subject to the initial condition

.10)
Taking the Natural transform on both sides of Eq. ( 4.9), we obtain: Then by substituting the given initial condition of Eq. (4.10), into Eq.(4.11), we obtain: By taking the inverse Natural transform of Eq. ( 4.12), we obtain: We now assume an infinite series solution of the unknown function v(x, t) of the form: Using Eq. ( 4. 14), we can re-write Eq. ( 4.13) in the form: where A n is an Adomian polynomial which represent the nonlinear term |v| 2 v By comparing both sides of Eq. ( 4. 15), we can easily generate the recursive relation as follows: Continuing in this same manner, we will eventually obtain:

.16)
Therefore, using the general recursive relation of Eq. ( 4.16), we can easily compute the remaining components of the unknown function v(x, t) as follows: and so on.
Hence, the series solution of the unknown function v(x, t) is given by: Therefore, the exact solution of the Schrodinger equation (4.9)-(4.10) is given by: v(x, t) = e 3i(x−t) .

Conclusion
The aim of this article is to introduce a new computational algorithm called the Natural Decomposition Method for solving linear and nonlinear Schrödinger equation without any linearization, discritization, transformation, or taking some restrictive assumptions.Exact solutions of two illustrative examples was successfully fund and the results are compared with (ADM) [4] and (VIM) [4,5].This shows the simplicity, efficiency and accuracy of the new approach.Thus, the Natural Decomposition Method (NDM) can easily be use to solve many linear and nonlinear Schrödinger equations and related applications in applied mathematics and engineering.