The Influence of Noise on the Exact Solutions of the Stochastic Fractional-Space Chiral Nonlinear Schrödinger Equation

In this paper, we consider the stochastic fractional-space Chiral nonlinear Schrödinger equation (S-FS-CNSE) derived via multiplicative noise. We obtain the exact solutions of the S-FSCNSE by using the Riccati equation method. The obtained solutions are extremely important in the development of nuclear medicine, the entire computer industry and quantum mechanics, especially in the quantum hall effect. Moreover, we discuss how the multiplicative noise affects the exact solutions of the S-FS-CNSE. This equation has never previously been studied using a combination of multiplicative noise and fractional space.


Introduction
The fractional derivatives may be used to represent many physical phenomena in electromagnetic theory, signal processing, mathematical biology, engineering applications and different scientific disciplines. For example, the fractional derivative has been utilized in the disciplines of finance [1][2][3], biology [4][5][6], physics [7][8][9][10][11], hydrology [12,13] and biochemistry and chemistry [14,15]. Since fractional-order integrals and derivatives allow for the representation of the memory and heredity properties of various substances, these new fractional-order models are more suited than the previously used integer-order models [16]. This is the most important benefit of fractional-order models in comparison with integer-order models, where such impacts are ignored.
On the other hand, randomness or fluctuations have now been shown to be important in many phenomena. Therefore, random effects have become significant when modeling different physical phenomena that take place in oceanography, physics, biology, meteorology, environmental sciences, and so on. Equations that consider random fluctuations in time are referred to as stochastic differential equations.
It seems to be more important to examine fractional equations with some random force. Therefore, in this paper, we take into account the following stochastic fractionalspace Chiral nonlinear Schrödinger equation (S-FS-CNSE) derived in the Itô sense by multiplicative noise in this form where ϕ(x, t) is a complex function, ρ is the noise strength, W is the standard Gaussian process, δ is a nonlinear coupling constant and the symbol * indicates the complex conjugate.
The originality of this article is to obtain the exact stochastic fractional solutions of the S-FS-CNSE (1) forced by multiplicative noise by using the Riccati equation method. In addition, we discuss the influence of the stochastic term on these solutions. To add more to our knowledge, this is the first paper that uses a combination of multiplicative noise and fractional space to obtain the exact solution of the S-FS-CNSE (1).
The following is the format of this article: In the next section, we define the order α of Jumarie's derivative and we state some important properties of the modified Riemann-Liouville derivative. In Section 3, we obtain the wave equation for S-FS-CNSE (1), while in Section 4, we have the exact stochastic solutions of the S-FS-CNSE (1) by applying the Riccati equation method. In Section 6, we display some graphs to demonstrate the effect of the stochastic term on the obtained solutions of the S-FS-CNSE. Finally, the conclusions of this paper are presented.

Modified Riemann-Liouville Derivative and Properties
Jumarie [29] defines the order α of derivative for the continuous function f :R → R as follows: Here, we present some important properties of the modified Riemann-Liouville derivative: where a, b are constants and σ x is called the sigma indexes [30,31].

Wave Equation for S-FS-CNSE Equation
Let us begin with the complex wave transformation: where ψ is a determinstic function, k 1 , k 2 , ω 1 and ω 2 are real constants. We use Putting (3) into Equation (1), we obtain, for real part, Taking expectation on both sides, we have where ψ is a deterministic function. Since W(t) is standard normal random variable, then E(e γW(t) ) = e γ 2 2 t for any real constant γ. Hence Equation (5) becomes where In the next, we utiliz the Riccati equation method to find the exact solution of the S-FS-CNSE (1).

The Exact Solutions of the S-FS-CNSE
Here, we apply the Riccati equation method to find the solutions of Equation (6). That leads us to find the exact solutions of the S-FS-CNSE (1). First, we suppose the solution of the (6) has the form where χ solves where b is an unknown constant. By balancing ψ 3 with ψ in Equation (6), we can evaluate the parameter N as follows: From Equation (9), we can rewrite Equation (7) as Putting Equation (10) into Equation (6) and utilizing Equation (8), we obtain a polynomial with degree 3 of χ as follows: Equating each coefficient of χ k (k = 3, 2, 1, 0) to zero, we have the set of algebraic equations as follows: H 1 a 3 0 − H 2 a 0 = 0. By solving this system, we obtain: There many cases for the solutions of Equation (8) According to Equation (10), the corresponding solution of the traveling wave Equation (6) is Therefore, the exact solution of the S-FS-CNSE (1) is or Second case: If ω 2 > −σ 2 x k 2 1 , then b > 0. The solution of Equation (8) in this case becomes In this situation, the solution of the traveling wave Equation (6) takes the form Hence, by using (2), the exact solution of the S-FS-CNSE (1) is if H 1 < 0, or if H 1 > 0. Third case: If ω 2 < −σ 2 x k 2 1 , then b < 0. The solution of Equation (8) in this case becomes In this situation, the solution of the traveling wave Equation (6) takes the form Therefore, by using Equation (2), the exact solution of the S-FS-CNSE (1) is if H 1 < 0, or if H 1 > 0.

The Effect of Noise on the Solutions of S-FS-CNSE
Understanding the influence of noise on wave propagation is a critical issue. Even though deterministic models are frequently used to illustrate propagation, in many cases, randomness should be addressed. It has the potential to significantly modify qualitative behavior and result in new properties. Therefore, in this section, we address the effect of the stochastic term on the exact solutions of the S-FS-CNSE (1).
First, let us fix the parameters k 1 = δ = 1 σ x and k 2 = −1. We present some of graphs for different value of ρ (noise intensity). We utilize the MATLAB program to plot the solution ϕ 3 (t, x) and ϕ 5 (t, x) defined in Equations (11) and (13), respectively, as follows.
In Figures 1-4: When the noise intensity is equal to zero, the surface becomes less flat, as seen in the first graph in the tables. However, when noise emerges and the intensity of the noise increases (ρ = 1, 2, 3), the surface becomes more planar after minor transitioning behaviors. This indicates that the solutions are stable due to the effect of the stochastic term. Figure 1. Graph of solution |ϕ 3 | in Equation (13) with ω 1 = −1, ω 2 = −1 and α = 1.   (15) with ω 1 = −1, ω 2 = −2 and α = 1.

Conclusions
In this article, we obtained different exact solutions of the stochastic fractional-space Chiral nonlinear Schrödinger equation (Equation (1)) by using the Riccati equation method. We were able to obtain several dark and bright soliton solutions for this equation. These forms of solutions can be used to explain a wide range of exciting and difficult scientific phenomena. Moreover, we utilized the MATLAB program to create some graphical representations to discuss the impact of the stochastic term on the exact solutions of the S-FS-CNSE (1). Finally, we noticed that the proposed method is a simple and beautiful mathematical technique that gives important results when applied to several types of nonlinear models.