Next Article in Journal
Hybrid Newton–Sperm Swarm Optimization Algorithm for Nonlinear Systems
Previous Article in Journal
Effect of Significant Parameters on Squeeze Film Characteristics in Pathological Synovial Joints
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

On the Soliton Solutions for the Stochastic Konno–Oono System in Magnetic Field with the Presence of Noise

by
Tahira Sumbal Shaikh
1,
Muhammad Zafarullah Baber
2,
Nauman Ahmed
2,3,*,
Naveed Shahid
2,
Ali Akgül
3,4,5,* and
Manuel De la Sen
6
1
Department of Mathematics, Lahore College for Women University, Lahore 54000, Pakistan
2
Department of Mathematics and Statistics, The University of Lahore, Lahore 54590, Pakistan
3
Department of Computer Science and Mathematics, Lebanese American University, Beirut P.O. Box 13-5053, Lebanon
4
Department of Mathematics, Art and Science Faculty, Siirt University, 56100 Siirt, Turkey
5
Department of Mathematics, Mathematics Research Center, Near East University, Near East Boulevard, 99138 Nicosia, Turkey
6
Department of Electricity and Electronics, Institute of Research and Development of Processes, Faculty of Science and Technology, University of the Basque Country, 48940 Leioa, Spain
*
Authors to whom correspondence should be addressed.
Mathematics 2023, 11(6), 1472; https://doi.org/10.3390/math11061472
Submission received: 30 January 2023 / Revised: 9 March 2023 / Accepted: 13 March 2023 / Published: 17 March 2023

Abstract

:
In this study, we consider the stochastic Konno–Oono system to investigate the soliton solutions under the multiplicative sense. The multiplicative noise is considered firstly in the Stratonovich sense and secondly in the It o ^ sense. Applications of the Konno–Oono system include current-fed strings interacting with an external magnetic field. The F-expansion method is used to find the different types of soliton solutions in the form of dark, singular, complex dark, combo, solitary, periodic, mixed periodic, and rational functions. These solutions are applicable in the magnetic field when we study it at the micro level. Additionally, the absolute, real, and imaginary physical representations in three dimensions and the corresponding contour plots of some solutions are drawn in the sense of noise by the different choices of parameters.

1. Introduction

The magnetic field is a profile that is used as a tool to specify how the magnetic force is distributed around and inside magnetic objects. The motional induction effect, which results from the movement of the conducting crust via the Earth’s magnetic field, produces an electromagnetic (EM) field during an earthquake. On the other hand, intriguing natural phenomena, such as the seismic sea waves, are created as a result of these earthquakes. These waves’ height and wavelength range are quite important. In particular, these waves provide enormous power that can be transformed into a new type of energy that will become essential in the coming years. Therefore, taking into account such natural difficulties is crucial in mathematical physics. Nonlinear partial differential equations can be used to represent the majority of natural occurrences (NPDEs) [1,2,3]. NPDEs act a key role in describing complex natural phenomena [4]. The details of its solutions are frequently discussed. The study of solitary solutions in the magnetic field is very important because it helps improve our understanding of physical phenomena, such as the chiral soliton lattice and the nematic liquid crystal in the magnetic field, among other things [5,6].
Every mathematical model has a random motion at the micro level instead of a linear motion where it physically appears. Therefore, several researchers use multiplicative white noise in the mathematical model to add randomness [7,8,9,10,11]. Differential equations are referred to as stochastic differential equations when this phrase appears. During the last decade, when the epidemic starts, the classical models fails to describe the true behavior of the disease dynamics. So, stochastic models are more suitable as compared to classical models. Different researchers are working on the solutions of stochastic partial differential equation [12,13,14]. In this study, we consider the stochastic coupled Konno–Oono (K–O) system in the form  [15]
ϕ x t 2 ϕ ψ = ν F ( ϕ ) ,
ψ t + 2 ϕ ϕ x = 0 ,
where ϕ and ψ are functions of x and t, ν is the noise strength, F ( ϕ ) is the noise term.
So, we study the two cases of multiplicative noise, as follows [16]:
  • F ( ϕ ) = ϕ x · β t is taken for the Stratonovich sense;
  • F ( ϕ ) = ϕ x β t is taken for the It o ^ sense.
We are limited to the case that noise is a constant in space. Applications of the Konno–Oono equation system for current-fed strings interacting with an external magnetic field have been studied [17,18,19], as well as the parallel transport of each curve point along the direction of time where the connection is magnetic. Many researchers investigated the coupled Konno–Oono equation, such as Mahmoud A. E. A., who investigated with the help of the unified solver technique [20]; Jalil M. et al. used the extended trial equation method [19]; Montri T. et al. used the extended simplest equation method [19]; Mirhosseini-Alizamini S. M. used the new modified extended direct algebraic method [21]; Kang-Jia W. used the simplified extended tanh-function method and variational direct method [22,23]; and some others are considered the Konno–Oono equation system for the sake of solitary wave solutions. Wael W. M. [15] considered the stochastic version of the coupled Konno–Oono model and investigated the solitary wave solution by using the generalized G / G -expansion method. He found the solutions in the form of trigonometric, hyperbolic and rational solutions, but we extract the different forms of solutions, such as dark, singular, complex dark, combo, solitary, periodic, mixed periodic, and rational functions. In this study, we use the stochastic coupled model and investigate the soliton solution with the help of the F-expansion method. This technique provides us the solutions in the forms of dark, singular, complex dark, combo, solitary, periodic, mixed periodic, and rational functions. This has not been used before to investigate the solutions of the Konno–Oono system. In this study, this system is under consideration by the noise in two senses: the first one is the Stratonovich sense, and secondly the It o ^ sense. These results are new and very beneficial for the researcher when they consider the problem at the micro level. In the next section, we consider the K–O system with Stratonovich sense to investigate the soliton solution with the help of the F-expansion method [24,25,26].

2. Wiener Process

Suppose a non-differentiable Wiener process β t with the following properties [27]:
lim Δ t 0 Δ β t = 0 ;
lim Δ t 0 ( Δ β t ) n Δ t = 1 , n = 2 0 , n = 3 , 4 ,
Definition 1. 
Stochastic process ( β t ) t 0 is said to be a Brownian motion if the following conditions are satisfied:
  • β t is a continuous functionif t 0 .
  • β 0 = 0.
  • For τ 1 < τ 2 , β τ 2 β τ 1 is independent.
  • β τ 2 β τ 1 has a Gaussian distribution κ ( 0 , τ 2 τ 1 ) .
β t = d β d t is the time derivative of Wiener process β ( t ) .

3. Soliton Solutions for K–O System with Stratonovich Sense

In this section, we find the exact solutions for the K–O system with the Stratonovich sense.
ϕ x t 2 ϕ ψ = ν ϕ x · β t ,
ψ t + 2 ϕ ϕ x = 0 .
So, by choosing the wave transformation in the noise, such as [7,28,29],
ϕ ( x , t ) = U ( ρ ) e [ ν β ( t ) ν 2 t ] , ψ ( x , t ) = V ( ρ ) , where ρ = x c t
where U and V are deterministic functions, and c is the speed of light. β t is the time derivative of Wiener process β ( t ) . By substituting this transformation, Equations (5) and (6) are converted to the SDEs, such as
c U + ν β t ν 2 U 2 U V = ν U · β t ,
c V + 2 U U e [ ν β ( t ) ν 2 t ] = 0 .
Multiply (−2) by Equation (7) and obtain
2 c U 2 ν U β t + 4 U V = 2 ν U · β t 2 ν 2 U .
Conversion between Itô and Stratonovich integrals, such as
ν U · β t = ν U β t + ν 2 U ,
putting Equation (10) into Equation (9), obtain
c U + 2 U V = 0 .
Now, we take the expectation on both sides of Equation (8), and we obtain
c U + 2 U U E ( e 2 ν β ( t ) ) = 0 .
Here, we use the conditional expectation (conditioned by the filtration generated by Wiener process), and E ( e 2 ν β ( t ) ) is identity element; for more detail, see [30,31,32]. So, Equation (12) takes the form
c U + 2 U U = 0 ,
and integrating Equation (13) with respect to ρ , we obtain
V = 1 c ( U 2 + γ ) ,
where γ is the constant of integration. Now putting Equation (14) into Equation (11), we obtain
c 2 U + 2 U 3 + 2 γ U = 0 .
Now, we suppose that the solution is in the polynomial form from the improved F-expansion method as follows:
U ( ρ ) = δ 0 + i = M N δ 1 Ω i ( ρ ) ,
where δ 0 and δ i are constants that are determined later. The N is a positive integer that is determined with the help of the homogeneous balancing principle. So, Ω ( ρ ) satisfies the Riccati equation as follows:
Ω ( ρ ) = P + Q Ω ( ρ ) + R Ω 2 ( ρ ) ,
where P, Q and R are constants. Substituting N = 1 in Equation (16), we obtain
U ( ρ ) = δ 0 + δ 1 Ω ( ρ ) + δ 1 Ω 1 ( ρ ) .
Inserting Equation (18) in Equation (15) by the help of Equation (17), we obtain the infinite series in Ω i ( ρ ) . Setting all the same powers of Ω i ( ρ ) equal to zero yields a system of equations. To find the values of the constant by the aid of Wolfram Mathematica 11.1 version, we gain the three cases, namely,
Case 1. When we take P = 0 we obtained
δ 0 = i γ , δ 1 = 2 i γ R Q , δ 1 = 0 , c = 2 γ Q ,
Case 2. When we take Q = 0 we obtained
δ 0 = 0 , δ 1 = i γ R 2 P , δ 1 = i γ P 2 R , c = γ 2 P R ,
Case 3. When we take P = 0 , Q = 0 but R 0 , then we obtained
δ 0 = 0 , δ 1 = i c R , δ 1 = i γ 3 c R ,
Now, by substituting these values in Equation (18), then by the help of the wave transformation, we obtain the different types of soliton, trigonometric and rational solutions of Equation (5) as follows:
  • Family-I: When P = 0 , Q = 1 and R = 1 , then Ω ( ρ ) = 1 2 + 1 2 tanh ρ 2 . So, we obtain the soliton solutions of Equation (5) as follows:
    ϕ 1 ( x , t ) = i γ 2 i γ 1 2 tanh 1 2 2 γ t + x + 1 2 e [ β ν t ν 2 t ] .
Now from Equation (14), we obtain the solution of Equation (6) as
ψ 1 ( x , t ) = 1 2 γ γ + i γ 2 i γ 1 2 tanh 1 2 2 γ t + x + 1 2 2 .
  • Family-II: When P = 0 , Q = 1 and R = 1 , then Ω ( ρ ) = 1 2 1 2 coth ρ 2 . So, we obtained the Soliton solutions of Equation (5) as follow,
    ϕ 2 ( x , t ) = i γ 2 i γ 1 2 1 2 coth 1 2 x 2 γ t e [ β ν t ν 2 t ] ,
Now from Equation (14), we obtain the solution of Equation (6) as
ψ 2 ( x , t ) = 1 2 γ γ + i γ 2 i γ 1 2 1 2 coth 1 2 x 2 γ t 2 .
  • Family-III: When P = 1 2 , Q = 0 and R = 1 2 , then Ω ( ρ ) = tanh ρ ± i sec h or Ω ( ρ ) = coth ρ ± csc h . So, we obtain the soliton solutions of Equation (5) as follows:
    ϕ 3 ( x , t ) = γ 2 tanh x i 2 γ t + i sec h x i 2 γ t γ tanh x i 2 γ t + i sec h x i 2 γ t 2 e [ β ν t ν 2 t ] ,
Now, from Equation (14), we obtain the solution of Equation (6) as
ψ 3 ( x , t ) = i 2 γ γ + γ 2 tanh x i 2 γ t + i sec h x i 2 γ t γ tanh x i 2 γ t + i sec h x i 2 γ t 2 2 .
or
ϕ 4 ( x , t ) = γ 2 coth x i 2 γ t + csc h x i 2 γ t γ coth x i 2 γ t + csc h x i 2 γ t 2 e [ β ν t ν 2 t ] ,
Now, from Equation (14), we obtain the solution of Equation (6) as,
ψ 4 ( x , t ) = i 2 γ γ + γ 2 coth x i 2 γ t + csc h x i 2 γ t γ coth x i 2 γ t + csc h x i 2 γ t 2 2 .
  • Family-IV: When P = 1 , Q = 0 and R = 1 , then Ω ( ρ ) = tanh [ ρ ] or Ω ( ρ ) = coth ( ρ ) . So, we obtain the soliton solutions of Equation (5) as follows:
    ϕ 5 ( x , t ) = γ coth x i γ t 2 2 γ tanh x i γ t 2 2 e [ β ν t ν 2 t ] ,
Now from Equation (14), we obtain the solution of Equation (6) as
ψ 5 ( x , t ) = i 2 γ γ + γ coth x i γ t 2 2 γ tanh x i γ t 2 2 2 ,
or
ϕ 6 ( x , t ) = γ tanh x i γ t 2 2 γ coth x i γ t 2 2 e [ β ν t ν 2 t ] ,
Now from Equation (14), we obtain the solution of Equation (6) as
ψ 6 ( x , t ) = i 2 γ γ + γ tanh x i γ t 2 2 γ coth x i γ t 2 2 2 .
  • Family-V: When P = 1 2 , Q = 0 and R = 1 2 , then Ω ( ρ ) = tan ρ + sec or Ω ( ρ ) = cot ρ + csc ( ρ ) . So, we obtain the trigonometric solutions of Equation (5) as follows:
    ϕ 7 ( x , t ) = i γ tan 2 γ t + x + sec 2 γ t + x 2 + i γ 2 tan 2 γ t + x + sec 2 γ t + x e [ β ν t ν 2 t ] ,
Now, from Equation (14), we obtain the solution of Equation (6) as
ψ 7 ( x , t ) = i 2 γ γ + γ 2 tan x i γ t 2 + sec x i γ t 2 γ tan x i γ t 2 + sec x i γ t 2 2 2 ,
or
ϕ 8 ( x , t ) = i γ 2 csc 2 γ t + x cot 2 γ t + x + i γ csc 2 γ t + x cot 2 γ t + x 2 e [ β ν t ν 2 t ] ,
Now, from Equation (14), we obtain the solution of Equation (6) as
ψ 8 ( x , t ) = 1 2 γ γ + i γ 2 cot 2 γ t + x + csc 2 γ t + x + i γ cot 2 γ t + x + csc 2 γ t + x 2 2 .
  • Family-VI: When P = 1 2 , Q = 0 and R = 1 2 , then Ω ( ρ ) = sec ( ρ ) tan ρ or Ω ( ρ ) = csc ρ cot ( ρ ) . So, we obtain the trigonometric solutions of Equation (5) as follows:
    ϕ 9 ( x , t ) = i γ sec x 2 γ t tan x 2 γ t 2 + i γ 2 sec x 2 γ t tan x 2 γ t e [ β ν t ν 2 t ] ,
Now, from Equation (14), we obtain the solution of Equation (6) as
ψ 9 ( x , t ) = 1 2 γ γ + i γ sec x 2 γ t tan x 2 γ t 2 + i γ 2 sec x 2 γ t tan x 2 γ t 2 ,
or
ϕ 10 ( x , t ) = i γ 2 csc x 2 γ t cot x 2 γ t + i γ csc x 2 γ t cot x 2 γ t 2 e [ β ν t ν 2 t ] ,
Now from Equation (14), we obtain the solution of Equation (6) as
ψ 10 ( x , t ) = 1 2 γ γ + i γ 2 csc x 2 γ t cot x 2 γ t + i γ csc x 2 γ t cot x 2 γ t 2 2 .
  • Family-VII: When P = 1 , Q = 0 and R = 1 , then Ω ( ρ ) = tan ρ . So, we obtain the trigonometric solutions of Equation (5) as follows:
    ϕ 11 ( x , t ) = i γ tan γ t 2 + x 2 + i γ cot γ t 2 + x 2 e [ β ν t ν 2 t ] ,
Now, from Equation (14), we obtain the solution of Equation (6) as
ψ 11 ( x , t ) = 2 γ γ + i γ tan γ t 2 + x 2 + i γ cot γ t 2 + x 2 2 .
  • Family-VIII: When P = 1 , Q = 0 and R = 1 , then Ω ( ρ ) = cot ( ρ ) . So, we obtain the trigonometric solutions of Equation (5) as follows:
    ϕ 12 ( x , t ) = i γ tan x γ t 2 2 + i γ cot x γ t 2 2 e [ β ν t ν 2 t ] ,
Now, from Equation (14), we obtain the solution of Equation (6) as
ψ 12 ( x , t ) = 2 γ γ + i γ tan γ t 2 + x 2 + i γ cot γ t 2 + x 2 2 .
  • Family-IX: When P = 0 , Q = 0 and R 0 , then Ω ( ρ ) = 1 R ρ + A . So, we obtain the rational solutions of Equation (5) as follows:
    ϕ 13 ( x , t ) = i γ ( A R ( x c t ) ) 3 c R i c R A + R ( x c t ) e [ β ν t ν 2 t ] ,
Now, from Equation (14), we obtain the solution of Equation (6) as
ψ 13 ( x , t ) = γ + i γ ( A R ( x c t ) ) 3 c R i c R A + R ( x c t ) 2 c .

4. Soliton Solutions for K–O System with It o ^ Sense

In this section, we find the exact solutions for the K–O system with the Stratonovich sense.
ϕ x t 2 ϕ ψ = ν ϕ x β t ,
ψ t + 2 ϕ ϕ x = 0 .
So, by choosing the wave transformation in the noise, such as
ϕ ( x , t ) = U ( ρ ) e [ ν β ( t ) ν 2 t ] , ψ ( x , t ) = V ( ρ ) , where ρ = x c t
where U and V are deterministic function, c is the speed of light. By substituting this transformation into Equations (5) and (6) when F ( ϕ ) = ϕ x β t , we converted to the stochastic ODEs, such as
c U + ν β t ν 2 U 2 U V = ν U β t ,
c V + 2 U U e [ ν β ( t ) ν 2 t ] = 0 .
We take the expectation E ( e 2 ν β ( t ) ) for the Equation (48), integrating once to obtain V as
V = 1 c ( U 2 + γ ) .
Now, substituting Equation (49) into (47), we obtain
c U + c ν U + 2 U 3 + 2 γ U = 0 .
Substituting N = 1 in Equation (16), we obtain
U ( ρ ) = δ 0 + δ 1 Ω ( ρ ) + δ 1 Ω 1 ( ρ ) .
Inserting Equation (51) in Equation (50) with the help of Equation (17), we obtain the infinite series in Ω i ( ρ ) . Setting all the same powers of Ω i ( ρ ) equal to zero yields a system of equations. To find the values of the constant with the aid of Wolfram Mathematica 11.1 version, we gain the three cases, namely:
Case 1. 
When we take P = 0 , we obtain
δ 0 = c 2 Q 2 + c ν 2 Q 2 γ 6 , δ 1 = 0 , δ 1 = c 2 Q 2 + c ν 2 Q 2 γ c 2 Q 2 + c ν 2 Q + 4 γ 3 6 c R c Q ν 2 ,
Case 2. 
When we take Q = 0 , we obtain
δ 0 = c 2 P R γ 3 , δ 1 = 0 , δ 1 = c P c 2 P R γ c 2 P R + γ , ν = 2 c 2 P R 2 γ c 2 P R + γ 4 3 3 / 4 c P R ,
Case 3. 
When we take P = 0 , Q = 0 but R 0 , then we obtain
δ 0 = i γ 3 , δ 1 = 0 , δ 1 = 4 i γ 3 / 2 3 3 c ν 2 R ,
Now, by substituting these values in Equation (51), then by the help of wave transformation, we obtain the different types of soliton, trigonometric and rational solutions of Equation (6) as follows:
  • Family-I: When P = 0 , Q = 1 and R = 1 , then Ω ( ρ ) = 1 2 + 1 2 tanh ρ 2 . So, we obtain the soliton solutions of Equation (45) as follows:
    ϕ 14 ( x , t ) = c 2 + c ν 2 2 γ 6 c 2 + c ν 2 + 4 γ c 2 + c ν 2 2 γ 3 6 c c ν 2 1 2 tanh 1 2 ( x c t ) + 1 2 e [ β ν t ν 2 t ] ,
Now from Equation (49), we obtain the solution of Equation (46) as,
ψ 14 ( x , t ) = 1 c c 2 + c ν 2 2 γ 6 c 2 + c ν 2 + 4 γ c 2 + c ν 2 2 γ 3 6 c c ν 2 1 2 tanh 1 2 ( x c t ) + 1 2 2 + γ c .
  • Family-II: When P = 0 , Q = 1 and R = 1 , then Ω ( ρ ) = 1 2 1 2 coth ρ 2 . So, we obtain the soliton solutions of Equation (45) as follows:
    ϕ 15 ( x , t ) = c 2 + c ν 2 2 γ 6 c 2 + c ν 2 + 4 γ c 2 + c ν 2 2 γ 3 6 c c ν 2 1 2 1 2 coth 1 2 ( x c t ) e [ β ν t ν 2 t ] ,
Now, from Equation (49), we obtain a solution of Equation (46) as
ψ 15 ( x , t ) = 1 c c 2 c ν 2 2 γ c 2 c ν 2 + 4 γ 3 6 c c ν 2 1 2 1 2 coth 1 2 ( x c t ) c 2 c ν 2 2 γ 6 2 + γ c .
  • Family-III: When P = 1 2 , Q = 0 and R = 1 2 , then Ω ( ρ ) = tanh ρ ± i sec h or Ω ( ρ ) = coth ρ ± csc h . So, we obtain the soliton solutions of Equation (45) as follows:
    ϕ 16 ( x , t ) = c c 2 2 γ 2 c 2 2 + γ ( coth ( c t x ) csc h ( c t x ) ) c 2 2 γ 3
    e 2 β t c 2 2 2 γ c 2 2 + γ 4 3 3 / 4 c 4 t c 2 2 2 γ c 2 2 + γ 3 3 c 2 ,
Now, from Equation (49), we obtain a solution of Equation (46) as
ψ 16 ( x , t ) = γ c + 1 c c 2 4 γ 3 + c c 2 4 γ 2 γ c 2 4 ( tanh ( c t x ) + i sec h ( c t x ) ) 2 ,
or
ϕ 17 ( x , t ) = c 2 4 γ 3 + c c 2 4 γ 2 γ c 2 4 ( tanh ( c t x ) + i sec h ( c t x ) )
e 2 β t c 2 2 2 γ c 2 2 + γ 4 3 3 / 4 c 4 t c 2 2 2 γ c 2 2 + γ 3 3 c 2 ,
and now from Equation (49), we obtain a solution of Equation (46) as
ψ 17 ( x , t ) = γ c + 1 c c 2 4 γ 3 + c c 2 4 γ 2 γ c 2 4 ( coth ( c t x ) ± csc h ( c t x ) ) 2 .
  • Family-IV: When P = 1 , Q = 0 and R = 1 , then Ω ( ρ ) = tanh [ ρ ] or Ω ( ρ ) = coth ( ρ ) . So, we obtain the soliton solutions of Equation (45) as follows:
    ϕ 18 ( x , t ) = c 2 4 γ 3 c c 2 4 γ coth ( c t x ) 2 γ c 2 4 e 8 t c 2 4 2 γ γ c 2 4 3 3 c 2 + 2 i 2 β t c 2 4 2 γ γ c 2 4 4 3 3 / 4 c ,
    and now from Equation (49), we obtain a solution of Equation (46) as
    ψ 18 ( x , t ) = 1 c c 2 γ 3 c c 2 γ coth ( c t x ) γ c 2 2 + γ c .
    or
    ϕ 19 ( x , t ) = c 2 4 γ 3 c c 2 4 γ tanh ( c t x ) 2 γ c 2 4 e 8 t c 2 4 2 γ γ c 2 4 3 3 c 2 + 2 i 2 β t c 2 4 2 γ γ c 2 4 4 3 3 / 4 c ,
    now from Equation (49), we obtain the solution of Equation (46) as
    ψ 19 ( x , t ) = 1 c c 2 γ 3 c c 2 γ tanh ( c t x ) γ c 2 2 + γ c .
  • Family-V: When P = 1 2 , Q = 0 and R = 1 2 , then Ω ( ρ ) = tan ρ + sec ( ρ ) or Ω ( ρ ) = csc ( ρ ) cot ρ . So, we obtain the trigonometric solutions of Equation (45) as follows:
    ϕ 20 ( x , t ) = c c 2 4 γ 2 c 2 4 + γ ( tan ( ρ ) + sec ( ρ ) ) c 2 4 γ 3 e 2 2 β t c 2 4 2 γ c 2 4 + γ 4 3 3 / 4 c 8 t c 2 4 2 γ c 2 4 + γ 3 3 c 2 ,
    now from Equation (49), we obtain the solution of Equation (46) as,
    ψ 20 ( x , t ) = 1 c c c 2 4 γ 2 c 2 4 + γ ( cot ( c t x ) csc ( c t x ) ) c 2 4 γ 3 2 + γ c ,
    or
    ϕ 21 ( x , t ) = c c 2 4 γ 2 c 2 4 + γ ( csc ( ρ ) cot ( ρ ) ) c 2 4 γ 3 e 2 2 β t c 2 4 2 γ c 2 4 + γ 4 3 3 / 4 c 8 t c 2 4 2 γ c 2 4 + γ 3 3 c 2 ,
    now from Equation (49), we obtain the solution of Equation (46) as,
    ψ 21 ( x , t ) = 1 c c c 2 4 γ 2 c 2 4 + γ ( tan ( c t x ) + sec ( c t x ) ) c 2 4 γ 3 2 + γ c .
  • Family-VI: When P = 1 2 , Q = 0 and R = 1 2 , then Ω ( ρ ) = sec ( ρ ) tan ρ or Ω ( ρ ) = csc ρ + cot ( ρ ) . So, we obtain the trigonometric solutions of Equation (45) as follows:
    ϕ 22 ( x , t ) = c c 2 4 γ 2 c 2 4 + γ ( cot ( ρ ) + csc ( ρ ) ) c 2 4 γ 3 e 2 2 β t c 2 4 2 γ c 2 4 + γ 4 3 3 / 4 c 8 t c 2 4 2 γ c 2 4 + γ 3 3 c 2 ,
    and now from Equation (49), we obtain the solution of Equation (46) as,
    ψ 22 ( x , t ) = 1 c c 2 4 γ 3 c c 2 4 γ 2 c 2 4 + γ ( tan ( c t x ) + sec ( c t x ) ) 2 + γ c ,
    or
    ϕ 23 ( x , t ) = c c 2 4 γ 2 c 2 4 + γ ( tan ( c t x ) + sec ( c t x ) ) c 2 4 γ 3 e 2 2 β t c 2 4 2 γ c 2 4 + γ 4 3 3 / 4 c 8 t c 2 4 2 γ c 2 4 + γ 3 3 c 2 ,
    and now from Equation (49), we obtain the solution of Equation (46) as,
    ψ 23 ( x , t ) = 1 c c 2 4 γ 3 c c 2 4 γ 2 c 2 4 + γ ( cot ( c t x ) csc ( c t x ) ) 2 + γ c .
  • Family-VII: When P = 1 , Q = 0 and R = 1 , then Ω ( ρ ) = tan ρ . So, we obtain the trigonometric solutions of Equation (5) as follows:
    ϕ 24 ( x , t ) = c 2 γ 3 c c 2 γ cot ( c t x ) c 2 + γ e 2 β t c 2 2 γ c 2 + γ 4 3 3 / 4 c 2 t c 2 2 γ c 2 + γ 3 3 c 2 ,
    now from Equation (49), we obtain the solution of Equation (46) as
    ψ 24 ( x , t ) = 1 c c c 2 4 γ cot ( c t x ) 2 c 2 4 + γ c 2 4 γ 3 2 + γ c .
  • Family-VIII: When P = 1 , Q = 0 and R = 1 , then Ω ( ρ ) = cot ( ρ ) . So, we obtain the trigonometric solutions of Equation (5) as follows:
    ϕ 25 ( x , t ) = c c 2 γ tan ( c t x ) c 2 + γ c 2 γ 3 e 2 β t c 2 2 γ c 2 + γ 4 3 3 / 4 c 2 t c 2 2 γ c 2 + γ 3 3 c 2 ,
    and now from Equation (49), we obtain the solution of Equation (46) as,
    ψ 25 ( x , t ) = 1 c c c 2 γ tan ( c t x ) c 2 + γ c 2 γ 3 2 + γ c .
  • Family-IX: When P = 0 , Q = 0 and R 0 , then Ω ( ρ ) = 1 R ρ + A . So, we obtain the rational solutions of Equation (5) as follows:
    ϕ 26 ( x , t ) = 4 i γ 3 / 2 ( A R ( x c t ) ) 3 3 c ν 2 R + i γ 3 e [ β ν t ν 2 t ] ,
    and now from Equation (49), we obtain the solution of Equation (46) as,
    ψ 26 ( x , t ) = 1 c γ + i γ 3 2 i c γ 3 / 2 ( A c t + x ) c 2 2 γ c 2 + γ 2 .

5. Graphical Discussion

Here, we demonstrate the physical interpretation of the results constructed above in the presence of noise. These plots demonstrate the different soliton behaviors to illustrate the noise in the physical interpretation of the solutions that are extracted with the help of the F-expansion method. The absolute, real, and imaginary representations are presented for some solutions with the help of of Wolfram Mathematica 11.1 version. In the presence of noise ν , we plotted some graphs: Figure 1 is plotted for ϕ 1 ( x , t ) when we choose γ = 1.2 and ν = 0.9981 , Figure 2 when γ = 1.9 and ν = 0.9871 , Figure 3 when γ = 2.9 and ν = 0.9 , Figure 4 when γ = 0.9 and ν = 0.99 , Figure 5 when γ = 1.9 and ν = 0.8 , Figure 6 when γ = 1.2 and ν = 0.8 , Figure 7 when γ = 2.2 , c = 1.7 and ν = 0.981 , Figure 8 when γ = 0.9 , c = 1.5 and ν = 0.71 , and Figure 9 when γ = 2.9 , and ν = 0.9 . For the function ψ , there is no influence of noise here for ν = 0 , and Figure 10 and Figure 11 are plotted when γ = 2.2 , γ = 1.2 , γ = . Figure 12 is drawn when γ = 0.52 , and c = 1.9 . Figure 13 is drawn when γ = 3.2 . Here, the selection of parameters is different because γ is an integrating constantand c is the speed of light. However, the ν is the control parameter of the noise; if we choose the smaller value of ν , the influence of noise in the plots is low and it does not show the mush spikes.The solutions are extracted successfully in the form of the dark, singular, complex dark, combo, solitary, periodic, mixed periodic, and rational functions found in the presence of noise. The Konno–Oono system is a coupled model to show the random behavior of the magnetic waves we involve noise in F ( ϕ ) . These wave structures are very helpful for the dynamical study of the Konno–Oono system. When we see the problem at the micro level, the physical phenomena of the magnetic field appear randomly. At the moment, this study is helpful for researchers. So, these wave structures are very beneficial in the study of the magnetic field when we consider the problem at the micro level. The noise or randomness is clearly shown in the plots by the different choices of parameters (Algorithm 1).
Algorithm 1 Pseudocode for WhiteNoise
1:
procedure My Procedure
2:
     Define the function U(x, t)
3:
     Input all the constants ν , γ
4:
     Input time
5:
     Input space
6:
     noise = Interpolation[ Normal[RandomFunction[ WhiteNoiseProcess[ ν ], 0, input time * samplesPerSec]][1]]
7:
     Compute the function

6. Conclusions

This study deals with the stochastic Konno–Oono system with multiplicative noise under the Stratonovich sense and secondly the It o ^ sense. This model is applicable in the magnetic field. The stochastic wave structures are constructed with the help of the F-expansion technique. The different types of soliton solutions in the form of dark, singular, complex dark, combo, solitary, periodic, mixed periodic, and rational functions are found in the presence of noise. When we see the problem at the micro level, the physical phenomena of the magnetic field appear randomly. At the moment, this study helps researchers. So, these wave structures are very beneficial in the study of the magnetic field when we consider the problem at the micro level. The noise or randomness is clearly shown in the plots by the different choices of parameters. Additionally, the absolute, real, and imaginary physical representation in three dimensions and their corresponding contour plots of some solutions are drawn in the sense of noise by the different choices of parameters.

Author Contributions

Formal analysis, T.S.S.; Investigation, M.Z.B.; Resources, N.A.; Writing—original draft, N.S.; Writing—review & editing, A.A.; Project administration, M.D.l.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Basque Government through Grants IT1555-22 and KK-2022/00090; and (MCIN/AEI 269.10.13039/501100011033/FEDER, UE) for Grants PID2021-1235430B-C21 and PID2021-1235430B-C22.

Acknowledgments

The authors are grateful to the Basque Government for its support through Grants IT1555-22 and KK-2022/00090; and to (MCIN/AEI 269.10.13039/501100011033/FEDER, UE) for Grants PID2021-1235430B-C21 and PID2021-1235430B-C22.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sarwar, A.; Gang, T.; Arshad, M.; Ahmed, I.; Ahmad, M.O. Abundant solitary wave solutions for space-time fractional unstable nonlinear Schrödinger equations and their applications. Ain Shams Eng. J. 2023, 14, 101839. [Google Scholar] [CrossRef]
  2. Li, P.; Gao, R.; Xu, C.; Lu, Y.; Shang, Y. Dynamics in a Fractional Order Predator-Prey Model Involving Michaelis-Menten type Functional Response and both Unequal Delays. Fractals 2023. [Google Scholar] [CrossRef]
  3. Li, P.; Gao, R.; Xu, C.; Li, Y.; Akgül, A.; Baleanu, D. Dynamics exploration for a fractional-order delayed zooplankton–phytoplankton system. Chaos Solitons Fractals 2023, 166, 112975. [Google Scholar] [CrossRef]
  4. Iqbal, M.S.; Seadawy, A.R.; Baber, M.Z.; Qasim, M. Application of modified exponential rational function method to Jaulent–Miodek system leading to exact classical solutions. Chaos Solitons Fractals 2022, 164, 112600. [Google Scholar] [CrossRef]
  5. Taha, T.R.; Ablowitz, M.I. Analytical and numerical aspects of certain nonlinear evolution equations. II. Numerical, nonlinear Schrödinger equation. J. Comput. Phys. 1984, 55, 203–230. [Google Scholar] [CrossRef]
  6. Younis, M.; Seadawy, A.R.; Baber, M.Z.; Husain, S.; Iqbal, M.S.; Rizvi, S.T.R.; Baleanu, D. Analytical optical soliton solutions of the Schrödinger-Poisson dynamical system. Results Phys. 2021, 27, 104369. [Google Scholar] [CrossRef]
  7. Mohammed, W.W.; Qahiti, R.; Ahmad, H.; Baili, J.; Mansour, F.E.; El-Morshedy, M. Exact solutions for the system of stochastic equations for the ion sound and Langmuir waves. Results Phys. 2021, 30, 104841. [Google Scholar] [CrossRef]
  8. Al-Askar, F.M.; Cesarano, C.; Mohammed, W.W. The analytical solutions of stochastic-fractional Drinfel’d-Sokolov-Wilson equations via (G/G)-expansion method. Symmetry 2022, 14, 2105. [Google Scholar] [CrossRef]
  9. Burkardt, J.; Gunzburger, M.; Webster, C. Reduced order modeling of some nonlinear stochastic partial differential equations. Int. J. Numer. Anal. Model. 2007, 4, 368–391. [Google Scholar]
  10. Kamrani, M.; Hosseini, S.M.; Hausenblas, E. Implicit Euler method for numerical solution of nonlinear stochastic partial differential equations with multiplicative trace class noise. Math. Methods Appl. Sci. 2018, 41, 4986–5002. [Google Scholar] [CrossRef]
  11. Venturi, D.; Wan, X.; Mikulevicius, R.; Rozovskii, B.L.; Karniadakis, G.E. Wick–Malliavin approximation to nonlinear stochastic partial differential equations: Analysis and simulations. Proc. R. Soc. A Math. Phys. Eng. Sci. 2013, 469, 20130001. [Google Scholar] [CrossRef]
  12. Wang, X.; Yasin, M.W.; Ahmed, N.; Rafiq, M.; Abbas, M. Numerical approximations of stochastic Gray–Scott model with two novel schemes. Aims Math. 2023, 8, 5124–5147. [Google Scholar] [CrossRef]
  13. Luo, W. Wiener Chaos Expansion and Numerical Solutions of Stochastic Partial Differential Equations; California Institute of Technology: Pasadena, CA, USA, 2006. [Google Scholar]
  14. Yasin, M.W.; Ahmed, N.; Iqbal, M.S.; Raza, A.; Rafiq, M.; Eldin, E.M.T.; Khan, I. Spatio-temporal numerical modeling of stochastic predator-prey model. Sci. Rep. 2023, 13, 1990. [Google Scholar] [CrossRef]
  15. Mohammed, W.W.; Iqbal, N.; Ali, A.; El-Morshedy, M. Exact solutions of the stochastic new coupled Konno-Oono equation. Results Phys. 2021, 21, 103830. [Google Scholar] [CrossRef]
  16. Mohammed, W.W.; El-Morshedy, M. The influence of multiplicative noise on the stochastic exact solutions of the Nizhnik–Novikov–Veselov system. Math. Comput. Simul. 2021, 190, 192–202. [Google Scholar] [CrossRef]
  17. Khater, M.M.; Seadawy, A.R.; Lu, D. Dispersive solitary wave solutions of new coupled Konno-Oono, Higgs field and Maccari equations and their applications. J. King Saud Univ.-Sci. 2018, 30, 417–423. [Google Scholar] [CrossRef]
  18. Elbrolosy, M.E.; Elmandouh, A.A. Dynamical behaviour of conformable time-fractional coupled Konno-Oono equation in magnetic field. Math. Probl. Eng. 2022, 2022, 3157217. [Google Scholar] [CrossRef]
  19. Manafian, J.; Zamanpour, I.; Ranjbaran, A. On some new analytical solutions for new coupled Konno-Oono equation by the external trial equation method. J. Phys. Commun. 2018, 2, 015023. [Google Scholar] [CrossRef] [Green Version]
  20. Abdelrahman, M.A.; Alshreef, G. Closed-form solutions to the new coupled Konno-Oono equation and the Kaup–Newell model equation in magnetic field with novel statistic application. Eur. Phys. J. Plus 2021, 136, 455. [Google Scholar] [CrossRef]
  21. Alam, M.N.; Belgacem, F.B.M. New Generalized (G/G)-Expansion Method Applications to Coupled Konno-Oono Equation. Adv. Pure Math. 2016, 6, 168. [Google Scholar] [CrossRef] [Green Version]
  22. Mirhosseini-Alizamini, S.M.; Rezazadeh, H.; Srinivasa, K.; Bekir, A. New closed form solutions of the new coupled Konno-Oono equation using the new extended direct algebraic method. Pramana 2020, 94, 52. [Google Scholar] [CrossRef]
  23. Wang, K.J. Abundant analytical solutions to the new coupled Konno-Oono equation arising in magnetic field. Results Phys. 2021, 31, 104931. [Google Scholar] [CrossRef]
  24. Abdou, M.A. Further improved F-expansion and new exact solutions for nonlinear evolution equations. Nonlinear Dyn. 2008, 52, 277–288. [Google Scholar] [CrossRef]
  25. Wang, D.; Zhang, H.Q. Further improved F-expansion method and new exact solutions of Konopelchenko–Dubrovsky equation. Chaos Solitons Fractals 2005, 25, 601–610. [Google Scholar] [CrossRef]
  26. Ali Akbar, M.; Ali, N.H.M. The improved F-expansion method with Riccati equation and its applications in mathematical physics. Cogent Math. 2017, 4, 1282577. [Google Scholar] [CrossRef]
  27. Navickas, Z.; Timofejeva, I.; Telksnys, T.; Marcinkevicius, R.; Ragulskis, M. Construction of special soliton solutions to the stochastic Riccati equation. Open Math. 2022, 20, 829–844. [Google Scholar] [CrossRef]
  28. Mohammed, W.W.; El-Morshedy, M.; Moumen, A.; Ali, E.E.; Benaissa, M.; Abouelregal, A.E. Effects of M-Truncated Derivative and Multiplicative Noise on the Exact Solutions of the Breaking Soliton Equation. Symmetry 2023, 15, 288. [Google Scholar] [CrossRef]
  29. Al-Askar, F.M.; Mohammed, W.W.; El-Morshedy, M. The analytical solutions for stochastic fractional–space burgers’ equation. J. Math. 2022, 2022, 9878885. [Google Scholar] [CrossRef]
  30. Al-Askar, F.M.; Mohammed, W.W. The analytical solutions of the stochastic fractional RKL equation via Jacobi elliptic function method. Adv. Math. Phys. 2022, 2022, 1534067. [Google Scholar] [CrossRef]
  31. Lou, Y.; Hu, G.; Christofides, P.D. Model predictive control of nonlinear stochastic partial differential equations with application to a sputtering process. AIChE J. 2008, 54, 2065–2081. [Google Scholar] [CrossRef]
  32. Calin, O. An Informal Introduction to Stochastic Calculus with Applications; World Scientific Publishing: Singapore, 2015; Chapter 7; pp. 149–164. [Google Scholar]
Figure 1. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 1 ( x , t ) .
Figure 1. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 1 ( x , t ) .
Mathematics 11 01472 g001
Figure 2. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 2 ( x , t ) .
Figure 2. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 2 ( x , t ) .
Mathematics 11 01472 g002
Figure 3. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 4 ( x , t ) .
Figure 3. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 4 ( x , t ) .
Mathematics 11 01472 g003
Figure 4. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 5 ( x , t ) .
Figure 4. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 5 ( x , t ) .
Mathematics 11 01472 g004
Figure 5. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 6 ( x , t ) .
Figure 5. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 6 ( x , t ) .
Mathematics 11 01472 g005
Figure 6. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 7 ( x , t ) .
Figure 6. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 7 ( x , t ) .
Mathematics 11 01472 g006
Figure 7. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 14 ( x , t ) .
Figure 7. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 14 ( x , t ) .
Mathematics 11 01472 g007
Figure 8. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 15 ( x , t ) .
Figure 8. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ϕ 15 ( x , t ) .
Mathematics 11 01472 g008
Figure 9. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 17 ( x , t ) .
Figure 9. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 17 ( x , t ) .
Mathematics 11 01472 g009
Figure 10. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 2 ( x , t ) .
Figure 10. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 2 ( x , t ) .
Mathematics 11 01472 g010
Figure 11. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 3 ( x , t ) .
Figure 11. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 3 ( x , t ) .
Mathematics 11 01472 g011
Figure 12. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 16 ( x , t ) .
Figure 12. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 16 ( x , t ) .
Mathematics 11 01472 g012
Figure 13. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 17 ( x , t ) .
Figure 13. The absolute, real, and imaginary behavior in the shape of 3D and their corresponding contour plots are dispatched for ψ 17 ( x , t ) .
Mathematics 11 01472 g013
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

Shaikh, T.S.; Baber, M.Z.; Ahmed, N.; Shahid, N.; Akgül, A.; De la Sen, M. On the Soliton Solutions for the Stochastic Konno–Oono System in Magnetic Field with the Presence of Noise. Mathematics 2023, 11, 1472. https://doi.org/10.3390/math11061472

AMA Style

Shaikh TS, Baber MZ, Ahmed N, Shahid N, Akgül A, De la Sen M. On the Soliton Solutions for the Stochastic Konno–Oono System in Magnetic Field with the Presence of Noise. Mathematics. 2023; 11(6):1472. https://doi.org/10.3390/math11061472

Chicago/Turabian Style

Shaikh, Tahira Sumbal, Muhammad Zafarullah Baber, Nauman Ahmed, Naveed Shahid, Ali Akgül, and Manuel De la Sen. 2023. "On the Soliton Solutions for the Stochastic Konno–Oono System in Magnetic Field with the Presence of Noise" Mathematics 11, no. 6: 1472. https://doi.org/10.3390/math11061472

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