Next Article in Journal
Solving Fractional Gas Dynamics Equation Using Müntz–Legendre Polynomials
Previous Article in Journal
Molecular Descriptors—Spectral Property Relations for Characterizing Molecular Interactions in Binary and Ternary Solutions, Excited State Dipole Moment Estimation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Impact of White Noise on the Exact Solutions of the Stochastic Riemann Wave Equation in Quantum Mechanics

1
Department of Mathematics, College of Science, University of Ha’il, Ha’il 2440, Saudi Arabia
2
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt
3
Section of Mathematics, International Telematic University Uninettuno, Corso Vittorio Emanuele II, 39, 00186 Roma, Italy
4
Department of Mathematics, College of Science and Arts in Al-Asyah, Qassim University, Buraidah 6640, Saudi Arabia
5
Department of Mathematics, College of Science, Jazan University, Jazan 45142, Saudi Arabia
6
Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
*
Author to whom correspondence should be addressed.
Symmetry 2023, 15(11), 2070; https://doi.org/10.3390/sym15112070 (registering DOI)
Submission received: 11 October 2023 / Revised: 8 November 2023 / Accepted: 12 November 2023 / Published: 16 November 2023
(This article belongs to the Section Mathematics)

Abstract

:
In this article, the stochastic Riemann wave equation (SRWE) forced by white noise in the Itô sense is considered. The extended tanh function and mapping methods are applied to obtain new elliptic, rational, hyperbolic, and trigonometric stochastic solutions. Furthermore, we generalize some previous studies. The obtained solutions are important in explaining some exciting physical phenomena, since the SRWE is required for describing wave propagation. We plot numerous 3D and 2D graphical representations to explain how the multiplicative white noise influences the exact solutions of the SRWE. We can infer that the introduction of multiplicative white noise disrupts the symmetry of the solutions and serves to stabilize the solutions of the SRWE.

1. Introduction

Stochastic nonlinear evolution equations (SNLEEs) play a crucial role in various fields of science and engineering. These equations take into account both randomness and nonlinearity, making them essential for modeling complex systems and phenomena [1,2,3]. SNLEEs are vital for understanding the behavior of dynamic systems. Unlike deterministic equations, SNLEEs take into account inherent uncertainties and fluctuations, which are often observed in real-world systems. For instance, in climate modeling, SNLEEs help incorporate random variations and nonlinearity to model the complex interactions between various climatic factors accurately. By considering the inherent stochastic nature of these systems, scientists can obtain more realistic predictions and improve their understanding of the underlying mechanisms.
Moreover, SNLEEs find applications in physics and chemistry. For instance, in statistical physics, these equations are employed to understand the behavior of complex systems, such as turbulent flow or phase transitions. By accounting for the stochastic nature of these phenomena, scientists can study the emergence of ordered structures from random initial conditions. In chemical kinetics, SNLEEs are used to model reaction processes involving random fluctuations, assisting in the design of efficient chemical reactors and optimizing reaction conditions.
In many practical situations, finding exact solutions to these equations is extremely challenging due to the presence of both nonlinearity and stochasticity. However, researchers have used several techniques and methods to obtain exact solutions for different kinds of SNLEEs, such as the modified mapping method [4], the ϕ 6 -expansion scheme [5], the ( G / G ) -expansion method [6], He’s semi-inverse techniques [7], the new auxiliary equation method [8], the tanh–coth method [9], etc.
In this paper, we consider the stochastic Riemann wave equation (SRWE) [10]:
U t + γ 1 U x x y + γ 2 UV x + γ 3 VU x = σ U W t , U y = V x ,
where γ 1 , γ 2 , and γ 3 are real constants; σ is the intensity of noise; W ( t ) is the white noise (Gaussian process); and U W t is a multiplicative white noise in the Itô sense.
The Riemann wave equation (RWE) finds numerous applications in various scientific disciplines. In acoustics, it helps in the study of sound waves and their propagation in different media. By solving the Riemann wave equation, one can determine the behavior of sound waves in air, water, or other materials, aiding in the design of acoustic systems, such as speakers and musical instruments.
In optics, the RWE is essential for understanding the behavior of light waves. It allows scientists and engineers to analyze the properties of light, such as refraction, diffraction, and interference, and enables the design of optical systems, like lenses and cameras.
In quantum mechanics, the RWE plays a central role in describing the behavior of particles at the quantum level. The equation represents the wave function of a particle, which provides information about its position, momentum, and energy. The Riemann wave equation, along with the principles of quantum mechanics, allows us to understand phenomena such as wave-particle duality and quantum tunneling.
Due to the importance of the RWE, many researchers have obtained the solution of the Riemann wave equation using different methods, such as the generalized ( G / G ) -expansion method [11], generalized Kudryashov method [12], extended tanh function technique [13], Wronskian method [14], generalized exponential rational function approach [15], modified exp ( φ ( ξ ) ) -function method [16], and new extended direct algebraic method [17].
The novelty of this article is to acquire the exact stochastic solutions of the SRWE (1). To obtain these solutions, we use two different approaches, including the extended tanh–coth method and the mapping method. Also, we expand upon some earlier research, such as the results presented in [13]. The solutions that were produced are important in explaining some exciting physical phenomena since the SRWE is required for describing wave propagation. Additionally, we explore the impact of noise on the exact solutions of the SRWE (1) by presenting various figures using the MATLAB software 2018.
This article is organized as follows: In Section 2, the wave equation for the SRWE (1) is derived. In Section 3, the exact stochastic solution of the SRWE (1) is achieved via the extended tanh function and mapping methods. In Section 4, the effect of white noise on the obtained solutions of the SRWE may be detected. Finally, conclusions of the paper are offered.

2. Wave Equation for the SRWE

To derive the wave equation of the SRWE (1), we use
U ( x , y , t ) = Ψ ( ξ ) e [ σ W ( t ) 1 2 σ 2 t ] , V ( x , y , t ) = Φ ( ξ ) e [ σ W ( t ) 1 2 σ 2 t ] and ξ = ξ 1 x + ξ 2 y + λ t ,
where Ψ and Φ are real deterministic functions and ξ 1 , ξ 2 , and λ are nonzero constants. We observe that
U x = ξ 1 Ψ e [ σ W ( t ) 1 2 σ 2 t ] , U y = ξ 2 Ψ e [ σ W ( t ) 1 2 σ 2 t ] ,
U x x y = ξ 1 2 ξ 2 Ψ ( 3 ) e [ σ W ( t ) 1 2 σ 2 t ] , V x = ξ 1 Φ e [ σ W ( t ) 1 2 σ 2 t ] ,
and
U t = [ λ Ψ + σ Ψ W t + 1 2 σ 2 Ψ 1 2 σ 2 Ψ ] e [ σ W ( t ) 1 2 σ 2 t ] = [ λ Ψ + σ Ψ W t ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where + 1 2 σ 2 Ψ is the Itô correction term. Inserting Equation (2) into Equation (1) and utilizing (3)–(5), we obtain
λ Ψ + γ 1 ξ 1 2 ξ 2 Ψ ( 3 ) + ( γ 2 ξ 1 Ψ Φ + γ 3 ξ 1 Φ Ψ ) e [ σ W ( t ) 1 2 σ 2 t ] = 0 , ξ 2 Ψ = ξ 1 Φ .
Integrating the second equation of (6), we obtain
Φ = ξ 2 ξ 1 Ψ + ρ ξ 1 ,
where ρ is a constant of the integral. Plugging Equation (7) into the first equation of (6), we have
λ Ψ + γ 1 ξ 1 2 ξ 2 Ψ ( 3 ) + ( γ 2 ξ 2 Ψ Ψ + γ 3 ξ 2 Ψ Ψ + ρ γ 3 Ψ ) e [ σ W ( t ) 1 2 σ 2 t ] = 0 .
Taking the expectations E ( · ) on both sides, we obtain
λ Ψ + γ 1 ξ 1 2 ξ 2 Ψ ( 3 ) + ( γ 2 ξ 2 Ψ Ψ + γ 3 ξ 2 Ψ Ψ + ρ γ 3 Ψ ) e 1 2 σ 2 t E ( e σ W ( t ) ) = 0 .
Since W ( t ) is a Gaussian process, then E ( e σ W ( t ) ) = e 1 2 σ 2 t . Hence, Equation (8) becomes
γ 1 ξ 1 2 ξ 2 Ψ ( 3 ) + ( λ + ρ γ 3 ) Ψ + ( γ 2 ξ 2 + γ 3 ξ 2 ) Ψ Ψ = 0 .
Integrating Equation (9) once with respect to ξ , we have
Ψ + 1 Ψ + 2 Ψ 2 = 0 ,
where
1 = λ + ρ γ 3 γ 1 ξ 1 2 ξ 2 and 2 = γ 2 + γ 3 2 γ 1 ξ 1 2 .

3. Exact Stochastic Solutions of SRWE

To obtain exact stochastic solutions for the SRWE (1), we use two alternative methods: the extended tanh–coth approach and the mapping method.

3.1. Modified Extended tanh Function Method

We apply here the modified extended tanh function method (for more information, see [18]). Let us assume the solution Ψ of Equation (10) has the form
Ψ ( ξ ) = j = 0 M a j ϕ j + j = 1 M b j ϕ j ,
where ϕ solves
ϕ = ϕ 2 + k .
The solutions of Equation (12) are as follows: If k > 0 , we obtain
ϕ ( ξ ) = k tan ( k ξ ) or ϕ ( ξ ) = k cot ( k ξ ) .
If k < 0 , we obtain
ϕ ( ξ ) = k tanh ( k ξ ) or ϕ ( ξ ) = k coth ( k ξ ) .
If k = 0 , we obtain
ϕ ( ξ ) = 1 ξ .
To find the value of M, we balance Ψ 2 with Ψ in Equation (10) to have
2 M = M + 2 ,
then
M = 2 .
Rewriting Equation (11) and using Equation (16), we obtain
Ψ ( ξ ) = a 0 + a 1 ϕ + a 2 ϕ 2 + b 1 ϕ 1 + b 2 ϕ 2 .
Substituting Equation (17) into Equation (10), we obtain
( 6 k a 2 + 2 a 2 2 ) ϕ 4 + ( 2 a 1 + 2 2 a 1 a 2 ) ϕ 3 + ( 8 k a 2 + 2 a 0 a 2 2 + a 1 2 2 + 1 a 2 ) ϕ 2 ( 2 k a 1 + 1 a 1 + 2 2 a 0 a 1 + 2 a 2 b 1 ) ϕ + ( 2 k 2 a 2 + 2 b 2 + 1 a 0 + 2 a 0 2 + 2 2 a 1 b 1 + 2 2 a 2 b 2 ) + ( 2 k b 1 + 2 2 a 0 b 1 + 2 2 a 1 b 2 + 1 b 1 ) ϕ 1 + ( 8 k b 2 + 2 a 0 b 2 2 + b 1 2 2 + 1 b 2 ) ϕ 2 + ( 2 b 1 k 2 + 2 2 b 1 b 2 ) ϕ 3 + ( 6 k 2 b 2 + 2 b 2 2 ) ϕ 4 = 0 .
The coefficients of each power of ϕ are set to zero as follows:
6 a 2 + 2 a 2 2 = 0 ,
2 a 1 + 2 2 a 1 a 2 = 0 ,
8 k a 2 + 2 a 0 a 2 2 + a 1 2 2 + 1 a 2 = 0 ,
2 k a 1 + 1 a 1 + 2 2 a 0 a 1 + 2 a 2 b 1 = 0 ,
2 k 2 a 2 + 2 b 2 + 1 a 0 + 2 a 0 2 + 2 2 a 1 b 1 + 2 2 a 2 b 2 = 0 ,
2 k b 1 + 2 2 a 0 b 1 + 2 2 a 1 b 2 + 1 b 1 = 0 ,
8 k b 2 + 2 a 0 b 2 2 + b 1 2 2 + 1 b 2 = 0 ,
2 b 1 k 2 + 2 2 b 1 b 2 = 0 .
and
6 k 2 b 2 + 2 b 2 2 = 0 .
We obtain the four separate sets by solving these equations as follows:
First set:
a 0 = 6 k 2 , a 1 = 0 , a 2 = 6 2 , b 1 = 0 , b 2 = 0 , λ = 4 k γ 1 ξ 1 2 ξ 2 ρ γ 3 .
Second set:
a 0 = 2 k 2 , a 1 = 0 , a 2 = 6 2 , b 1 = 0 , b 2 = 0 , λ = 4 k γ 1 ξ 1 2 ξ 2 ρ γ 3 .
Third set:
a 0 = 12 k 2 , a 1 = 0 , a 2 = 6 2 , b 1 = 0 , b 2 = 6 k 2 2 , λ = 16 k γ 1 ξ 1 2 ξ 2 ρ γ 3 .
Fourth set:
a 0 = 8 k 2 , a 1 = 0 , a 2 = 6 2 , b 1 = 0 , b 2 = 6 k 2 2 , λ = 14 k γ 1 ξ 1 2 ξ 2 ρ γ 3 .
First set: Using (18), the solution of Equation (10) takes the form
Ψ ( ξ ) = 6 k 2 6 2 ϕ 2 ( ξ ) .
There are three cases for ϕ ( ξ ) :
Case 1: When k > 0 , we have the following, using (13):
Ψ ( ξ ) = 6 k 2 6 k 2 tan 2 ( k ξ ) = 6 k 2 sec 2 ( k ξ ) ,
and
Ψ ( ξ ) = 6 k 2 6 k 2 cot 2 ( k ξ ) = 6 k 2 csc 2 ( k ξ ) .
Hence, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = 6 k 2 sec 2 ( k ξ ) e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 k ξ 2 2 ξ 1 sec 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
and
U ( x , y , t ) = 6 k 2 csc 2 ( k ξ ) e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 k ξ 2 2 ξ 1 csc 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y + [ 4 k γ 1 ξ 1 2 ξ 2 ρ γ 3 ] t .
Case 2: When k < 0 , we have the following, using (14):
Ψ ( ξ ) = 6 k 2 + 6 k 2 tanh 2 ( k ξ ) = 6 k 2 sech 2 ( k ξ ) ,
and
Ψ ( ξ ) = 6 k 2 + 6 k 2 coth 2 ( k ξ ) = 6 k 2 csch 2 ( k ξ ) .
Hence, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = 6 k 2 sech 2 ( k ξ ) e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 k ξ 2 2 ξ 1 sec h 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
and
U ( x , y , t ) = 6 k 2 csc h 2 ( k ξ ) e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 k ξ 2 2 ξ 1 csc h 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
Case 3: When k = 0 , we have the following, using (15):
Ψ ( ξ ) = 6 2 1 ξ 2 .
Therefore, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = [ 6 2 1 ξ 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 ξ 2 2 ξ 1 1 ξ 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y ρ γ 3 t .
Second set: Using (19), the solution of Equation (10) takes the form
Ψ ( ξ ) = 2 k 2 6 2 ϕ 2 ( ξ ) .
There are three cases for ϕ ( ξ ) :
Case 1: When k > 0 , we have the following, using (13):
Ψ ( ξ ) = 2 k 2 6 k 2 tan 2 ( k ξ ) ,
and
Ψ ( ξ ) = 2 k 2 6 k 2 cot 2 ( k ξ ) .
Therefore, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = [ 2 k 2 6 k 2 tan 2 ( k ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 2 k ξ 2 2 ξ 1 6 k ξ 2 2 ξ 1 tan 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
and
U ( x , y , t ) = [ 2 k 2 6 k 2 cot 2 ( k ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 2 k ξ 2 2 ξ 1 6 k ξ 2 2 ξ 1 cot 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 4 k γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t .
Case 2: When k < 0 , we have the following, using (14):
Ψ ( ξ ) = 2 k 2 + 6 k 2 tanh 2 ( k ξ ) ,
and
Ψ ( ξ ) = 2 k 2 + 6 k 2 coth 2 ( k ξ ) .
Therefore, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = 2 k 2 + 6 k 2 tanh 2 ( k ξ ) e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 2 k ξ 2 2 ξ 1 + 6 k ξ 2 2 ξ 1 tanh 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
and
U ( x , y , t ) = 2 k 2 + 6 k 2 coth 2 ( k ξ ) e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 2 k ξ 2 2 ξ 1 + 6 k ξ 2 2 ξ 1 coth 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 4 k γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t .
Case 3: When k = 0 , we have the following, using (15):
Ψ ( ξ ) = 6 2 1 ξ 2 .
Thus, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = 6 2 1 ξ 2 e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 ξ 2 2 ξ 1 1 ξ 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y ρ γ 3 t .
Third set: Using (20), the solution of Equation (10) takes the form
Ψ ( ξ ) = 12 k 2 6 2 ϕ 2 ( ξ ) 6 k 2 2 ϕ 2 ( ξ ) .
For ϕ ( ξ ) , there are three cases:
Case 1: When k > 0 , we have the following, using (13):
Ψ ( ξ ) = 12 k 2 6 k 2 tan 2 ( k ξ ) 6 k 2 cot 2 ( k ξ ) = 6 k 2 [ sec 2 ( k ξ ) + csc 2 ( k ξ ) ] .
Hence, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = 6 k 2 [ sec 2 ( k ξ ) + csc 2 ( k ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 k ξ 2 2 ξ 1 sec 2 ( k ξ ) 6 k ξ 2 2 ξ 1 csc 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y + [ 16 k γ 1 ξ 1 2 ξ 2 ρ γ 3 ] t .
Case 2: When k < 0 , we have the following, using (14):
Ψ ( ξ ) = 12 k 2 + 6 k 2 tanh 2 ( k ξ ) + 6 k 2 coth 2 ( k ξ ) = 6 k 2 [ sec h 2 ( k ξ ) csc h 2 ( k ξ ) ] .
Thus, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = 6 k 2 [ sec h 2 ( k ξ ) csc h 2 ( k ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 k ξ 2 2 ξ 1 sec h 2 ( k ξ ) + 6 k ξ 2 2 ξ 1 csc h 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y + [ 16 k γ 1 ξ 1 2 ξ 2 ρ γ 3 ] t .
Case 3: When k = 0 , we have the following, using (15):
Ψ ( ξ ) = 6 2 1 ξ 2 + 6 2 ξ 2 .
Thus, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = ( 6 2 1 ξ 2 + 6 2 ξ 2 ) e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 ξ 2 2 ξ 1 1 ξ 2 + 6 ξ 2 2 ξ 1 ξ 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
Fourth set: Using (21), the solution of Equation (10) takes the form
Ψ ( ξ ) = 8 k 2 6 2 ϕ 2 ( ξ ) 6 k 2 2 ϕ 2 ( ξ ) .
There are three cases for ϕ ( ξ ) :
Case 1: When k > 0 , we have the following, using (13):
Ψ ( ξ ) = 8 k 2 6 k 2 tan 2 ( k ξ ) 6 k 2 cot 2 ( k ξ ) .
Thus, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = [ 8 k 2 6 k 2 tan 2 ( k ξ ) 6 k 2 cot 2 ( k ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 8 k ξ 2 2 ξ 1 6 k ξ 2 2 ξ 1 tan 2 ( k ξ ) 6 k ξ 2 2 ξ 1 cot 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 14 k γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t .
Case 2: When k < 0 , we have the following, using (14):
Ψ ( ξ ) = 8 k 2 + 6 k 2 tanh 2 ( k ξ ) + 6 k 2 coth 2 ( k ξ ) .
Therefore, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = [ 8 k 2 + 6 k 2 tanh 2 ( k ξ ) + 6 k 2 coth 2 ( k ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 8 k ξ 2 2 ξ 1 + 6 k ξ 2 2 ξ 1 tanh 2 ( k ξ ) + 6 k ξ 2 2 ξ 1 coth 2 ( k ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y ( 14 k γ 1 ξ 1 2 ξ 2 + ρ γ 3 ) t .
Case 3: When k = 0 , we have the following, using (15):
Ψ ( ξ ) = 6 2 1 ξ 2 + 6 2 ξ 2 .
Thus, the exact solutions of the SRWE (1), using (7), are
U ( x , y , t ) = [ 6 2 1 ξ 2 + 6 2 ξ 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ 6 ξ 2 2 ξ 1 1 ξ 2 + 6 ξ 2 2 ξ 1 ξ 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y ρ γ 3 t .
Remark 1.
If we set σ = 0 in Equations (26), (27), (36)–(39), (50), and (51), then we obtain the same results, (30)–(35), (28), and (29), respectively, that were reported in [13].

3.2. Mapping Method

The mapping method [19] is used here. With M = 2 , the solutions of Equation (10) have the following form:
Ψ ( ξ ) = 0 + 1 Z ( ξ ) + 2 Z 2 ( ξ ) ,
where 0 , 1 , and 2 are unknown constants and Z ( ξ ) is the solution of
Z = r + q Z 2 + p Z 4 ,
where r , q , and p are real parameters. We obtain the following by differentiating Equation (54) twice and using (55):
Ψ = 1 ( q Z + 2 p Z 3 ) + 2 2 ( r + 2 q Z 2 + 3 p Z 4 ) .
Putting Equations (54) and (56) into Equation (10), we obtain
( 6 2 p + 2 2 2 ) Z 4 + ( 2 p 1 + 2 2 1 2 ) Z 3 + ( 4 2 q + 2 2 0 2 + 2 1 2 + 1 2 ) Z 2 + ( 1 q + 2 2 0 1 + 1 1 ) Z + ( 2 r 2 + 2 0 2 + 1 0 ) = 0 .
Each Z power’s coefficients are set to zero, as follows:
6 2 p + 2 2 2 = 0 ,
2 p 1 + 2 2 1 2 = 0 ,
4 2 q + 2 2 0 2 + 2 1 2 + 1 2 = 0 ,
1 q + 2 2 0 1 + 1 1 = 0 ,
and
2 r 2 + 2 0 2 + 1 0 = 0 .
When we solve these equations, we obtain
0 = ( 1 + 4 q ) 2 2 , 1 = 0 , 2 = 6 p 2 , λ = 4 q γ 1 ξ 1 2 ξ 2 ρ γ 3 .
Therefore, Equation (10) has the following solution:
Ψ ( ξ ) = ( 1 + 4 q ) 2 2 6 p 2 Z 2 ( ξ ) .
To find the the solutions Z ( ξ ) of Equation (55), there are many cases, depending on r, q, and p, as follows:
Case 1: When r = 1 , q = ( 1 + m 2 ) , and p = m 2 , then Z ( ξ ) = s n ( ξ ) . In this case, the exact solutions of the SRWE (1), found by utilizing Equations (2), (57), and (7), are
U ( x , y , t ) = [ ( 1 4 ( 1 + m 2 ) ) 2 2 6 m 2 2 s n 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 4 ( 1 + m 2 ) ) 2 2 ξ 1 6 ξ 2 m 2 2 ξ 1 s n 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y + [ 4 ( 1 + m 2 ) γ 1 ξ 1 2 ξ 2 ρ γ 3 ] t . If m 1 , then Equation (58) changes to
U ( x , y , t ) = [ ( 1 8 ) 2 2 6 2 tanh 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 8 ) 2 2 ξ 1 6 ξ 2 2 ξ 1 tanh 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
Case 2: If r = m 2 ( 1 m 2 ) , q = 2 m 2 1 , and p = 1 , then Z ( ξ ) = d s ( ξ ) . In this case, the exact solutions of the SRWE (1) found by utilizing Equations (2), (57), and (7) are
U ( x , y , t ) = [ ( 1 + 4 ( 2 m 2 1 ) ) 2 2 6 2 d s 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 4 ( 2 m 2 1 ) ) 2 2 ξ 1 6 ξ 2 2 ξ 1 d s 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
where ξ = ξ 1 x + ξ 2 y [ 4 ( 2 m 2 1 ) γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t . If m 1 , then Equation (62) changes to
U ( x , y , t ) = [ ( 1 + 4 ) 2 2 6 2 csch 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 4 ) 2 2 ξ 1 6 ξ 2 2 ξ 1 csch 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
When m 0 , then Equation (62) changes to
U ( x , y , t ) = [ ( 1 4 ) 2 2 6 2 csc 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 4 ) 2 2 ξ 1 6 ξ 2 2 ξ 1 csc 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
Case 3: If r = ( 1 m 2 ) , q = 2 m 2 , and p = 1 , then Z ( ξ ) = c s ( ξ ) . In this case, the exact solutions of the SRWE (1) found by utilizing Equations (2), (57), and (7) are
U ( x , y , t ) = [ ( 1 + 4 ( 2 m 2 ) ) 2 2 6 2 c s 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 4 ( 2 m 2 ) ) 2 2 ξ 1 6 ξ 2 2 ξ 1 c s 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 4 ( 2 m 2 ) γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t . If m 1 , then Equation (68) transfers to Equation (64).
When m 0 , Equation (68) changes to
U ( x , y , t ) = [ ( 1 + 8 ) 2 2 6 2 cot 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 8 ) 2 2 ξ 1 6 ξ 2 2 ξ 1 cot 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
Case 4: If r = ( 1 m 2 ) , q = 2 m 2 1 , and p = m 2 , then Z ( ξ ) = c n ( ξ ) . In this case, the exact solutions of the SRWE (1) found by utilizing Equations (2), (57), and (7), are
U ( x , y , t ) = [ ( 1 + 4 ( 2 m 2 1 ) ) 2 2 6 m 2 2 c n 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 4 ( 2 m 2 1 ) ) 2 2 ξ 1 6 m 2 ξ 2 2 ξ 1 c n 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 4 ( 2 m 2 1 ) γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t . If m 1 , then Equation (72) tends to turn into
U ( x , y , t ) = [ ( 1 + 4 ) 2 2 + 6 2 sech 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 4 ) 2 2 ξ 1 + 6 ξ 2 2 ξ 1 sech 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
Case 5: If r = ( m 2 1 ) , q = 2 m 2 , and p = 1 , then Z ( ξ ) = d n ( ξ ) . In this case, the exact solutions of the SRWE (1) found by utilizing Equations (2), (57), and (7) are
U ( x , y , t ) = [ ( 1 + 4 ( 2 m 2 ) ) 2 2 + 6 2 d n 2 ( ξ ) ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 4 ( 2 m 2 ) ) 2 2 ξ 1 + 6 ξ 2 2 ξ 1 d n 2 ( ξ ) + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 4 ( 2 m 2 ) γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t . If m 1 , then Equation (76) changes to Equation (74).
Case 6: If r = 1 4 , q = ( m 2 2 ) 2 , and p = m 2 4 , then Z ( ξ ) = s n ( ξ ) 1 + d n ( ξ ) . In this case, the exact solutions of the SRWE (1) found by utilizing Equations (2), (57), and (7) are
U ( x , y , t ) = [ ( 1 + 2 ( m 2 2 ) ) 2 2 + 3 m 2 2 2 s n 2 ( ξ ) [ 1 + d n ( ξ ) ] 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 2 ( m 2 2 ) ) 2 2 ξ 1 + 3 m 2 ξ 2 2 2 ξ 1 s n 2 ( ξ ) [ 1 + d n ( ξ ) ] 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 2 ( m 2 2 ) γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t . If m 1 , then Equation (78) tends to turn into
U ( x , y , t ) = [ ( 1 2 ) 2 2 + 3 2 2 tanh 2 ( ξ ) [ 1 + sech ( ξ ) ] 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ( 1 2 ) ξ 2 2 2 ξ 1 + 3 ξ 2 2 2 ξ 1 tanh 2 ( ξ ) [ 1 + sech ( ξ ) ] 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
Case 7: If p = 1 4 , q = ( m 2 + 1 ) 2 , and r = ( 1 m 2 ) 2 4 , then Z ( ξ ) = m c n ( ξ ) ± d n ( ξ ) . In this case, the exact solutions of the SRWE (1) found by utilizing Equations (2), (57), and (7) are
U ( x , y , t ) = [ ( 1 + 2 ( 1 + m 2 ) ) 2 2 + 3 2 2 ( m c n ( ξ ) ± d n ( ξ ) ) 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 2 ( 1 + m 2 ) ) 2 2 ξ 1 + 3 ξ 2 2 2 ξ 1 ( m c n ( ξ ) ± d n ( ξ ) ) 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 2 ( m 2 + 1 ) γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t . If m 1 , then Equation (82) transfers to Equation (74).
Case 8: If p = m 2 1 4 , q = ( m 2 + 1 ) 2 , and r = m 2 1 4 , then Z ( μ ) = d n ( ξ ) 1 + s n ( ξ ) . In this case, the exact solutions of the SRWE (1) found by utilizing Equations (2), (57), and (7) are
U ( x , y , t ) = [ ( 1 + 2 ( 1 + m 2 ) ) 2 2 3 ( m 2 1 ) 2 2 d n 2 ( ξ ) [ 1 + s n ( ξ ) ] 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 2 ( 1 + m 2 ) ) 2 2 ξ 1 3 ξ 2 ( m 2 1 ) 2 2 ξ 1 d n 2 ( ξ ) [ 1 + s n ( ξ ) ] 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 2 ( m 2 + 1 ) γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t . When m 0 , then Equation (84) transfers to
U ( x , y , t ) = [ ( 1 + 2 ) 2 2 + 3 2 2 1 [ 1 + sin ( ξ ) ] 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 2 ) 2 2 ξ 1 + 3 ξ 2 2 2 ξ 1 1 [ 1 + sin ( ξ ) ] 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .
Case 9: If p = 1 m 2 4 , q = ( 1 m 2 ) 2 , and r = 1 m 2 4 , then Z ( μ ) = c n ( μ ) 1 + s n ( μ ) . In this case, the exact solutions of the SRWE (1) found by utilizing Equations (2), (57), and (7) are
U ( x , y , t ) = [ ( 1 + 2 ( 1 m 2 ) ) 2 2 3 ( 1 m 2 ) 2 2 c n 2 ( ξ ) [ 1 + s n ( ξ ) ] 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 2 ( 1 m 2 ) ) 2 2 ξ 1 3 ξ 2 ( 1 m 2 ) 2 2 ξ 1 c n 2 ( ξ ) [ 1 + s n ( ξ ) ] 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
where ξ = ξ 1 x + ξ 2 y [ 2 ( 1 m 2 ) γ 1 ξ 1 2 ξ 2 + ρ γ 3 ] t . When m 0 , then Equation (84) transfers to
U ( x , y , t ) = [ ( 1 + 2 ) 2 2 3 2 2 cos 2 ( ξ ) [ 1 + sin ( ξ ) ] 2 ] e [ σ W ( t ) 1 2 σ 2 t ] ,
V ( x , y , t ) = [ ξ 2 ( 1 + 2 ) 2 2 ξ 1 3 ξ 2 2 2 ξ 1 cos 2 ( ξ ) [ 1 + sin ( ξ ) ] 2 + ρ ξ 1 ] e [ σ W ( t ) 1 2 σ 2 t ] .

4. The Impact of White Noise

We discuss here the impact of white noise on the acquired solutions of the SRWE (1). Different graphical representations are provided to illustrate the behavior of these solutions. For γ 1 = 0.5 , γ 2 = γ 3 = ξ 1 = 1 , and forvarying values of ξ 2 and σ (noise intensity), we simulate the graphical representations for some attained solutions, including Equations (26), (27), (58), and (59), as follows:
Finally, we can see in the preceding Figure 1, Figure 2, Figure 3 and Figure 4 that when the noise is absent (i.e., σ = 0 ) there are several types of the solutions of the SRWE (1), including the bright bill, dark bill, periodic, and so on. However, when the noise occurs, all of these solutions begin to deteriorate, and the surface becomes flat as the noise amplitude rises. This indicates that the noise influences the solutions’ behavior and it makes them stable.

5. Conclusions

In this study, we took into account the stochastic Riemann wave equation (SRWE) forced by white noise in the Itô sense (1). Using the extended tanh function approach and the mapping method, we were able to acquire exact solutions for the SRWE. Since the SRWE is required for describing wave propagation, the produced solutions are crucial for explaining a number of fascinating physical phenomena. Moreover, we expanded several previous results, such as those published in [13]. Finally, the MATLAB software was used to demonstrate the effect of multiplicative white noise on the exact solutions of the SRWE (1). We discovered that the stochastic term stabilizes the solutions of the SRWE around zero. In the future, we may investigate the SRWE with fractional derivatives or additive noise.

Author Contributions

Data curation, D.R., M.E.-M. and E.S.A.; formal analysis, W.W.M., D.R., M.E.-M. and E.S.A.; funding acquisition, D.R. and W.W.M.; software, W.W.M.; methodology, W.W.M. and C.C.; writing—original draft, D.R., M.E.-M. and E.S.A.; project administration, C.C. and W.W.M.; writing—review and editing, C.C. and W.W.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research has been funded by the Scientific Research Deanship at the University of Ha’il-Saudi Arabia through project number GR-23026.

Data Availability Statement

Data are contained within the article.

Acknowledgments

The authors express their gratitude for the financial support provided by the Scientific Research Deanship at the University of Ha’il-Saudi Arabia through project number GR-23026.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Arnold, L. Random Dynamical Systems; Springer: Berlin/Heidelberg, Germany, 1998. [Google Scholar]
  2. Imkeller, P.; Monahan, A.H. Conceptual stochastic climate models. Stoch. Dynam. 2002, 2, 311–326. [Google Scholar] [CrossRef]
  3. Mouy, M.; Boulares, H.; Alshammari, S.; Alshammari, M.; Laskri, Y.; Mohammed, W.W. On Averaging Principle for Caputo-Hadamard Fractional Stochastic Differential Pantograph Equation. Fractal Fract. 2023, 7, 31. [Google Scholar] [CrossRef]
  4. Mohammed, W.W.; Al-Askar, F.M.; Cesarano, C. Solitary solutions for the stochastic Fokas system found in monomode optical fibers. Symmetry 2023, 15, 1433. [Google Scholar] [CrossRef]
  5. Zayed, E.M.E.; Shohib, R.M.A.; Alngar, M.E.M.; Biswas, A.; Moraru, L.; Khan, S.; Yıldırım, Y.; Alshehri, H.M.; Belic, M.R. Dispersive optical solitons with Schrödinger–Hirota model having multiplicative white noise via Itô Calculus. Phys. Lett. A 2022, 445, 128268. [Google Scholar] [CrossRef]
  6. Al-Askar, F.M. The solitary wave solutions of the stochastic Heisenberg ferromagnetic spin chain equation using two different analytical methods. Front. Phys. 2023, 11, 1267673. [Google Scholar] [CrossRef]
  7. Al-Askar, F.M.; Cesarano, C.; Mohammed, W.W. The Solitary Solutions for the Stochastic Jimbo–Miwa Equation Perturbed by White Noise. Symmetry 2023, 15, 1153. [Google Scholar] [CrossRef]
  8. Zayed, E.M.E.; Alngar, M.E.M.; Shohib, R.M.A.; Gepreel, K.A.; Nofal, T.A. Optical solitons with (2+1)-dimensional nonlinear Schrödinger equation having spatio-temporal dispersion and multiplicative white noise via Itô calculus. Optik 2022, 261, 169204. [Google Scholar] [CrossRef]
  9. Mohammed, W.W.; Cesarano, C. The soliton solutions for the (4+1)-dimensional stochastic Fokas equation. Math. Methods Appl. Sci. 2023, 46, 7589–7597. [Google Scholar] [CrossRef]
  10. Jawad, A.J.M.; Johnson, S.; Yildirim, A.; Kumar, S.; Biswas, A. Soliton solutions to coupled nonlinear wave equations in (2+1)-dimensions. Indian J. Phys. 2013, 87, 281–287. [Google Scholar] [CrossRef]
  11. Roy, R.; Barman, H.K.; Islam, M.N.; Akbar, M.A. Bright-dark wave envelopes of nonlinear regularized-long-wave and Riemann wave models in plasma physics. Results Phys. 2021, 30, 104832. [Google Scholar] [CrossRef]
  12. Barman, H.K.; Seadawy, A.R.; Akbar, M.A.; Baleanu, D. Competent closed form soliton solutions to the Riemann wave equation and the Novikov-Veselov equation. Results Phys. 2020, 17, 103131. [Google Scholar] [CrossRef]
  13. Barman, H.K.; Aktar, M.S.; Uddin, M.H.; Akbar, M.A.; Baleanu, D.; Osman, M. Physically significant wave solutions to the Riemann wave equations and the Landau-Ginsburg-Higgs equation. Results Phys. 2004, 22, 683–691. [Google Scholar] [CrossRef]
  14. Hao, H.-H.; Zhang, D.-J.; Zhang, J.-B.; Yao, Y.-Q. Rational and periodic solutions for a (2 + 1)-dimensional breaking soliton equation associated with ZS-AKNS hierarchy. Commun. Theor. Phys. 2010, 53, 430. [Google Scholar] [CrossRef]
  15. Duran, S. Breaking theory of solitary waves for the Riemann wave equation in fluid dynamics. Int. J. Mod. Phys. B 2021, 35, 2150130. [Google Scholar] [CrossRef]
  16. Attaullah; Shakeel, M.; Ahmad, B.; Shah, N.A.; Chung, J.D. Solitons solution of Riemann wave equation via modified exp function method. Symmetry 2022, 14, 2574. [Google Scholar] [CrossRef]
  17. Majid, S.Z.; Faridi, W.A.; Asjad, M.I.; Abd El-Rahman, M.; Eldin, S.M. Explicit soliton structure formation for the Riemann Wave equation and a sensitive demonstration. Fractal Fract. 2023, 7, 102. [Google Scholar] [CrossRef]
  18. Elwakil, S.A.; El-Labany, S.K.; Zahran, M.A.; Sabry, R. Modified extended tanh-function method and its applications to nonlinear equations. Appl. Math. Comput. 2005, 161, 403–412. [Google Scholar] [CrossRef]
  19. Peng, Y.Z. Exact solutions for some nonlinear partial differential equations. Phys. Lett. A 2013, 314, 401–418. [Google Scholar] [CrossRef]
Figure 1. (ac) present 3D profiles of U ( x , y , t ) given in Equation (26) for ξ 2 = 2 and for different σ = 0 , 1 , 2 ; (d) shows a 2D profile for these values of σ .
Figure 1. (ac) present 3D profiles of U ( x , y , t ) given in Equation (26) for ξ 2 = 2 and for different σ = 0 , 1 , 2 ; (d) shows a 2D profile for these values of σ .
Symmetry 15 02070 g001
Figure 2. (ac) present 3D profiles of V ( x , y , t ) given in Equation (27) for ξ 2 = 2 and for different σ = 0 , 1 , 2 ; (d) shows 2D shapes for these values of σ .
Figure 2. (ac) present 3D profiles of V ( x , y , t ) given in Equation (27) for ξ 2 = 2 and for different σ = 0 , 1 , 2 ; (d) shows 2D shapes for these values of σ .
Symmetry 15 02070 g002
Figure 3. (ac) present 3D shapes of the solution U ( x , y , t ) given in Equation (58) for m = 0.5 , ξ 2 = 0.8 and different σ = 0 , 1 , 2 ; (d) shows a 2D profile for these values of σ .
Figure 3. (ac) present 3D shapes of the solution U ( x , y , t ) given in Equation (58) for m = 0.5 , ξ 2 = 0.8 and different σ = 0 , 1 , 2 ; (d) shows a 2D profile for these values of σ .
Symmetry 15 02070 g003
Figure 4. (ac) present 3D shapes of the solution V ( x , y , t ) given in Equation (59) for m = 0.5 , ξ 2 = 0.8 and for various σ = 0 , 1 , 2 ; (d) shows a 2D profile for these values of σ .
Figure 4. (ac) present 3D shapes of the solution V ( x , y , t ) given in Equation (59) for m = 0.5 , ξ 2 = 0.8 and for various σ = 0 , 1 , 2 ; (d) shows a 2D profile for these values of σ .
Symmetry 15 02070 g004
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Mohammed, W.W.; Cesarano, C.; Rizk, D.; Aly, E.S.; El-Morshedy, M. Impact of White Noise on the Exact Solutions of the Stochastic Riemann Wave Equation in Quantum Mechanics. Symmetry 2023, 15, 2070. https://doi.org/10.3390/sym15112070

AMA Style

Mohammed WW, Cesarano C, Rizk D, Aly ES, El-Morshedy M. Impact of White Noise on the Exact Solutions of the Stochastic Riemann Wave Equation in Quantum Mechanics. Symmetry. 2023; 15(11):2070. https://doi.org/10.3390/sym15112070

Chicago/Turabian Style

Mohammed, Wael W., Clemente Cesarano, Doaa Rizk, Elkhateeb S. Aly, and Mahmoud El-Morshedy. 2023. "Impact of White Noise on the Exact Solutions of the Stochastic Riemann Wave Equation in Quantum Mechanics" Symmetry 15, no. 11: 2070. https://doi.org/10.3390/sym15112070

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop