Disturbance solutions for the long–short-wave interaction system using bi-random Riccati–Bernoulli sub-ODE method

This article applied the Riccati–Bernoulli (RB) sub-ODE method in order to get new exact solutions for the long–short-wave interaction (LS) equations. Namely, we obtain deterministic and random solutions, since we consider the proposed method in deterministic and random cases. The RB sub-ODE technique gives the travelling wave solutions in forms of hyperbolic, trigonometric and rational functions. It is shown that the proposed method gives a robust mathematical tool for solving nonlinear wave equations in applied science. Furthermore, some bi-random variables and some random distributions are used in random case corresponding to the LS system. The stability for the obtained solutions in random case is considered. In addition, there is a display of several numerical simulations, which helps to understand the physical phenomena of these soliton wave solutions.

Since Riccati differential equations are related to various serious problems of applied science, finding their solutions is a task of great importance, [33][34][35][36][37]. Recently, one of the important method that consider such equations is the RB sub-ODE approach. In this article, the RB sub-ODE scheme is used in investigating the solutions for the long-short-wave interaction (LS) system. This system depicts the interaction between one long longitudinal wave and one short transverse wave propagating in a generalized elastic medium [38]. As a consequence, this technique provides new infinite solutions of NPDEs utilizing a Bäcklund transformation. Moreover, we introduce a new combination between two vital branches of science, namely partial differential equations and applied statistics. In this work we show that how this approach is so interesting and can be generalized to many models of NPDEs.
In this work, we study our new technique in a random case since the wave transportation containing birandom variables and some random distributions are used. Many papers discussed the random models such as stochastic partial differential Equations [39][40][41] but in this study we develop the deterministic case for this method to be in random case. Indeed, we introduce the stability and convergence analysis to give their conditions for our method. To the best of our knowledge, no antecedent articles have been achieved utilizing RB sub-ODE method for solving the LS system in deterministic and stochastic cases.
There is no doubt that discussing the real-life applications with some disturbances such as the parameters be random variables is acceptable than in the deterministic case. In this paper, some random distributions are used in order to clarify that the effect of random variables is so interesting. Additionally, using the random distributions open up a wide range of physical meaning for the solutions. Of course, the randomness with in the solutions will be appear on the qualitative study such as stability, convergence, etc. So, we investigate this effect in some distributions such as beta distribution, Poisson distribution, etc.

Description of the method
We introduce RB sub-ODE technique to construct the solutions for NPDEs. The main steps of this method are [18]: Step 1. Consider an NPDE as Utilizing the wave transformation converts Equation (2) to an ODE Step 2. Suppose that the solution u(η) of Equation (3) obeys in which the constants a, b, c and r are determined later. Using Equation (4), gives The solutions of Equation (4) are Family 1. At r = 1: Family 2. At r = 1, b = 0, c = 0: Family 4. At r = 1,a = 0, b 2 − 4ac < 0: and and Family 6. At r = 1, a = 0 and b 2 − 4ac = 0: where μ is an arbitrary constant.
Step 3. Swapping the derivatives of χ into Equation (3) affords an algebraic equation of χ that gives the value of r [18]. Comparing the coefficients of χ i yields some algebraic equations for a, b, c and v. Solving these equations and plugging r, a, b, c, v and η = kx + vt into Equations (7)-(14), gives the solutions of Equation (1).

Long-short-wave interaction system
Here, the RB sub-ODE scheme is used in acquiring soliton solutions for LS system: where u(x, t) and v(x, t) denote, respectively, a complex and a real functions. The function v(x, t) represents the long longitudinal wave and u(x, t) represents slowly varying envelope of the short transverse wave. Using the travelling wave transformation for constants α and β Equation (17) transform into the following ODEs: Integrating Equations (19) and (20) with respect to η one time, and neglecting constant of integration we find Substituting Equation (21) into Equation (19), we obtain Superseding Equation (5) into Equation (22), yields Putting r = 0, Equation (23) is becomes Equating all the coefficients u to zero, gives Solving these equations gives Thus the solutions of Equation (17) are: Family I. At (α 2 + β) > 0, swapping Equations (29)- (31) and (18) into Equations (10) and (11), yields and Figure 1 illustrates the solution u 1 . Family II. At (α 2 + β) < 0, swapping Equations (29)- (31) and (18) into Equations (12) and (13), yields and Figure 2 illustrates the solution u 5 .
In summary, it has been noted that the exact solutions for the LS system were achieved in the explicit forms, which have an important contribution in the nonlinear optical systems, bio-physics, plasma physics and hydrodynamics.

Remark 3.3:
The main advantages of RB sub-ODE method over other exiting methods is that it gives many new exact travelling wave solutions with additional free parameters. Remark 3.2 shows that RB sub-ODE method yields an infinite solutions of the LS system. Furthermore, this method is easy, direct and efficacious to get exact solutions for various types of NPDEs.

The random Riccati-Bernoulli sub-RODE technique
We consider RB sub-ODE scheme to solve the random models such as random differential equations (RDEs) or random partial differential equations (RPDEs). The randomness input is found by using the random wave transformation due to the random speed of the localized random wave solution of the problem. The important sense for using this method are the consistency, stability and the convergence theorems and so, we can state the stability theory in the next section.

The bi-random Riccati-Bernoulli sub-RODE technique
In this section, we consider the random case of the RB sub-RODE scheme. Recall the PDE Utilizing the random wave transformation where α and β are random variables. This means that the localized random wave solution χ(η) travels with random speed α, whereas β is a positive random variable. Equation (38), converts Equation (37) into RODE: Similarly to the deterministic case, the random solution of Equation (39) obeys where a, b, c and r are constants. We can also get random Equations (41) and (42) like as Equations (5) and (6). From Equation (40) and by directly calculating, we get To obtain the random travelling wave solutions for Equation (37), we follows similarly step 3 in deterministic case. Finally, we can classify all cases of random solutions for the Random RB Equation (40) like as the same cases in deterministic case (Cases 1-6), but in the random case we must add for all cases the important condition as follows: α and β are bounded random variables. i.e. β 1 < β < β 2 ; α 1 < α < α 2 ; β 1 ,β 2 , α 1 ,α 2 are positive constants.

The stability for bi-random Riccati-Bernoulli sub-ODE solutions
Definition 1: A real random variable X defined on the probability space ( , , P) and satisfying: E[|X| 2 ] < ∞ is called second order random variable (2.r.v), E[ ] represents the expectation value operator.
If we consider the stability for the solutions that obtained by the RB sub-ODE scheme in random case, then the main condition is that all random variable must be bounded. We can summaries our stability conditions for the random solutions in the following theorem. We will discuss this theorem through the following application.

Solutions of long-short-wave interaction system using bi-Random Riccati-Bernoulli sub-RODE method
Recall LS system (17) and using random travelling wave transformation (43) where α and β are random variables.
Equation (17) transforms into the following RODEs, using (43): where α and β are random variables. Now we follow exactly the same procedure in Section 3, which yields   (17): and α and β are random variables with E[α 2 ] < ∞, E[β] < ∞ and ζ , μ are arbitrary constants. The solutions u 1 , u 2 , u 3 and u 4 for some random distributions are depicted in Figures 3-6. Namely, in this section we have deal with random travelling wave when the coefficients be random variables. This means that   our solutions are stochastic process solutions. Therefore, we can get the statistical properties of the random solutions such as the mean, variance, etc. Also, physically we can forecast by any disturbances that may be occurred when we study any applied problem. In this work, we discussed the mean random solutions behaviour as shown in Figures 3-6 for the random solutions u 1 , u 2 , u 3 and u 4 under Beta, Poisson and exponential statistical distributions.

Conclusions
In this article, some new travelling wave solutions for the LS system is successfully obtained, using the RB sub-ODE method. The calculations show that these methods are efficient, powerful and robust to get vital solutions in a unified and more general way. Furthermore, some bi-random variables and some random distributions are used in random case corresponding to the LS system. Indeed, the stability for bi-Random RB sub-ODE solutions is given. We observe that the proposed method is straightforward and can be applied for deterministic and stochastic cases for many other NPDEs in applied science. Finally, a new combination between two vital branches of science, namely partial differential equations and applied statistics is introduced, which give a validity of so interesting applications in the forthcoming papers.

Disclosure statement
No potential conflict of interest was reported by the author(s).