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Article

Two Analytical Schemes for the Optical Soliton Solution of the (2 + 1) Hirota–Maccari System Observed in Single-Mode Fibers

1
Faculty of Engineering and Architecture, Istanbul Gelisim University, Istanbul 34310, Turkey
2
Department of Mathematics, Faculty of Science, Biruni University, Istanbul 34010, Turkey
3
Department of Mathematics Engineering, Faculty of Chemical and Metallurgical Engineering, Yildiz Technical University, Istanbul 34349, Turkey
4
Department of Computer Engineering, Biruni University, Istanbul 34010, Turkey
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Universe 2022, 8(11), 584; https://doi.org/10.3390/universe8110584
Submission received: 15 September 2022 / Revised: 23 October 2022 / Accepted: 3 November 2022 / Published: 4 November 2022
(This article belongs to the Special Issue Research on Optical Soliton Perturbation)

Abstract

:
In this scientific research article, the new Kudryashov method and the tanh-coth method, which have not been applied before, are employed to construct analytical and soliton solutions of the ( 2 + 1 ) -dimensional Hirota–Maccari system. The ( 2 + 1 ) -dimensional Hirota–Maccari system is a special kind of nonlinear Schrödinger equation (NLSEs) that models the motion of isolated waves localized in a small part of space, and is used in such various fields as fiber optics telecommunication systems, nonlinear optics, plasma physics, and hydrodynamics. In addition, the Hirota–Maccari system defines the dynamical characters of femtosecond soliton pulse propagation in single-mode fibers. Analytical solutions of the model are successfully acquired with the assistance of symbolic computation utilizing these methods. Finally, 3D, 2D, and contour graphs of solutions are depicted at specific values of parameters. It is shown that the new Kudryashov method and the tanh-coth method are uncomplicated, very effective, easily applicable, reliable, and indeed vital mathematical tools in solving nonlinear models.

1. Introduction

Nonlinear evolution equations play an important role in the study of nonlinearity in physical phenomena in many areas of the natural and engineering sciences, such as population models, nonlinear optics, fluid mechanics, solid-state physics, plasma physics, etc. [1,2,3,4,5,6,7,8,9,10,11,12]. Because searching the analytical and soliton solutions for nonlinear evolution equations (NLEEs) is a considerable undertaking in examining of the dynamics of these phenomena, a variety of approaches have been produced to examine analytical and soliton solutions for NLEEs, such as the Weiss–Tabor–Carnevale method [13], Jacobi elliptic function expansion method [14], enhanced Kudryashov method [15,16], modified extended tanh expansion scheme [17,18], the modified extended tanh expansion method enhanced with new Riccati solutions [19], generalized exponential rational function method [20], extended sinh-Gordon equation expansion method [21], sech-csch function method [22], ( G / G ) -expansion scheme [23], Bernoulli sub-equation function method [24], Riccati–Bernoulli sub-ODE method [25], Nucci’s reduction method [26], Sardar subequation method [27], Darboux transformation method [28,29], ( 1 G ) -expansion method [30], rational sine-Gordon expansion method [31], modified exponential function method [31], p-Laplacian operator [32], Daubechies wavelet technique [33], and many more.
It is possible to add several dozen more to the methods mentioned above, and each method has its unique advantages and disadvantages. Among the factors that determine the use of a method according to the purpose of the researcher are the suitability of the method to the model being applied, whether the applied method responds to the goal, whether it is easy to use, whether it requires more technically equipped calculation tools, and whether it allows for obtaining more and more different solution functions. At this point, our aim in using the new Kudryashov and tanh-coth methods that we discuss in the study is not to obtain a large number of soliton solutions; rather, our interest is because these methods can be easily applied for both nonlinear partial differential equation (NLPDE), a fractional form of NLPDE, a system of NLPDEs, and high-order optical problems; moreover, they require little processing and are effective methods that provide basic soliton types (bright, dark, singular). As is known, the application of many of the methods for obtaining solutions to NLPDE problems requires long processing, takes a lot of time, and may involve complex situations. For certain problems, the results cannot be obtained even when the methods are effectively applied. At this point, the new Kudryashov and tanh-coth methods presented in this study provide researchers with the opportunity to get an idea of whether many problems to be investigated produce soliton solutions or not, and allowing researchers to turn to other methods to obtain different soliton solutions if they wish.
In this study, we consider the (2 + 1)-dimensional Hirota–Maccari system introduced by Maccari [34]:
i ψ t + ψ x y + i ψ x x x + ψ φ i ψ 2 ψ x = 0 , 3 φ x + ψ 2 y = 0 ,
where i = 1 , ψ , and φ are the complex and real scalar fields, the functions of the independent coordinates x , y and t. The (2 + 1)-dimensional Hirota–Maccari system represents the motion of isolated waves localized in a small part of space, that is, the interaction of large-amplitude lower-hybrid waves with finite-frequency density perturbations in various fields such as hydrodynamic, plasma physics, nonlinear optics, and more. The (2 + 1)-dimensional Hirota–Maccari system was obtained from the well-recognized two-dimensional generalizations of the KdV equation [35,36]. If we consider that x = y , Equation (1) is converted to the ( 1 + 1 ) -dimensional Hirota equation [34]. Over the past two decades, many authors have successfully examined the Hirota–Maccari system, applying diverse techniques to evaluate and acquire analytic and soliton solutions. Methods which have been presented include the improved t a n ( ϕ ( ρ ) 2 ) -expansion method and general projective Riccati equation method [37], the extended trial equation method and generalized Kudryashov method [38], the extended sinh-Gordon equation expansion method [39], the e x p ( ϕ ( ζ ) ) expansion method and addendum to Kudryashov’s method [40], the Weierstrass elliptic function expansion method [41], and the ( 1 G ) -expansion method [42].
The present study is laid out as follows. In Section 2, the mathematical analysis of the (2 + 1)-dimensional Hirota–Maccari system is provided and the new Kudryashov method is structured and applied to this model. In Section 3, the tanh-coth method is presented and applied, then the analytical and soliton solutions of the (2 + 1)-dimensional Hirota–Maccari system are acquired using the proposed method. The consequences of this acquisition are noted in Section 4, and our conclusions are presented in Section 5.

2. Obtaining the Nonlinear Ordinary Differential form of Equation (1) and the Description of the New Kudryashov Method

If we use the following wave transformations, then we acquire the explicit and analytical traveling wave solutions of Equation (1):
ψ ( x , y , t ) = U ( ζ ) e i θ , φ ( x , y , t ) = V ( ζ ) ,   ζ = x + y + ω t ,   θ = p x + q y + r t ,
where p , q , r, and ω are the coefficients of the spatial variable x which is the frequency of the wave, the spatial variable y, the temporal variable t which represents time, and the velocity of the wave, respectively. In addition, p , q , r , and ω are nonzero arbitrary real values. Substituting Equation (2) into the second segment of Equation (1), the following relation is acquired:
V ( ζ ) = U 2 ( ζ ) 3 .
Again, substituting Equation (2) into the first segment of Equation (1) by considering Equation (3), then classifying the real and imaginary parts of the obtained Equation, provides the following nonlinear ordinary differential equation (NODE) in Equation (4) and the relation in Equation (5):
3 ( 1 3 p ) U + 3 ( p 3 q p r ) U + ( 3 p 1 ) U 3 = 0 ,
ω = 8 p 3 6 p 2 2 q p + p + q + r 3 p 1 , p 1 3 .
Now, the principal steps of the new Kudryashov method [43,44,45] are proposed as follows. Presume that Equation (6) is the solution of Equation (4):
U ( ζ ) = i = 0 N A i Ψ i ( ζ ) , A N 0 ,
in which A 0 , A 1 , , A N are calculated real constants. The function Ψ ( ζ ) fulfils the next first-order differential equation
( Ψ ( ζ ) ) 2 = δ 2 Ψ 2 ( ζ ) [ 1 χ Ψ 2 ( ζ ) ] ,
in which χ and δ are nonzero values to be determined later. In this case, the solution of Equation (7) can be provided as follows:
Ψ ( ζ ) = 4 a 4 a 2 e δ ζ + χ e δ ζ ,
where a is a nonzero real constant.

Application of the New Kudryashov Method to the Hirota–Maccari System

In this section, the new Kudryashov method is efficiently applied to the (2 + 1)-dimensional Hirota–Maccari system in Equation (1). With the help of the homogeneous balance rule U and U 3 in Equation (4), N = 1 is acquired. Thus, Equation (6) can be transformed as follows:
U ( ζ ) = A 0 + A 1 Ψ ( ζ ) , A 1 0 .
By substituting Equation (9) into Equation (4) when considering Equation (7) and equating the coefficients of Ψ j ( ζ ) to zero, the following system of algebraic equations is obtained:
Ψ 0 ( ζ ) : 3 A 0 ( p 3 + ( A 0 2 q ) p A 0 2 3 r ) = 0 , Ψ ( ζ ) : 3 ( p 3 + ( 3 δ 2 + 3 A 0 2 q ) p + δ 2 A 0 2 r ) A 1 = 0 , Ψ 2 ( ζ ) : A 0 3 p 1 A 1 2 = 0 , Ψ 3 ( ζ ) : 6 χ δ 2 + A 1 2 3 p 1 A 1 = 0 .
When this algebraic system is solved using computer algebra software, the following solution set is generated:
Case 1 : δ = p 1 m 1 p 1 , A 0 = 0 , A 1 = 6 p 1 χ m 1 p 1
where p 1 = 3 p 1 , p 1 3 , m 1 = p 3 q p r , and p 1 m 1 > 0 . Substituting Equation (10) into Equations (9) and (8) together with Equation (2), we obtain the next solutions for Equation (1):
ψ 1 + ( x , y , t ) = 4 6 p 1 χ m 1 a e i p x + q y + r t p 1 4 a 2 e p 1 m 1 x + y + ω t p 1 + χ e p 1 m 1 x + y + ω t p 1 ,
φ 1 ( x , y , t ) = 32 χ m 1 a 2 p 1 4 a 2 e p 1 m 1 x + y + ω t p 1 + χ e p 1 m 1 x + y + ω t p 1 2 ,
ψ 2 ( x , y , t ) = 4 6 p 1 χ m 1 a e i p x + q y + r t p 1 4 a 2 e p 1 m 1 x + y + ω t p 1 + χ e p 1 m 1 x + y + ω t p 1 ,
in which ω = 8 p 3 6 p 2 2 q p + p + q + r 3 p 1 . The graph (Figure 1) of Equation (11) for various parameters is given below.
Case 2:
r = 3 δ 2 p + p 3 + δ 2 q p , A 0 = 0 , A 1 = 6 χ δ .
Inserting Equation (14) into Equation (9) and Equation (8) by taking into account the wave transformation Equation (2), we have the next solutions for Equation (1):
ψ 3 ( x , y , t ) = 4 6 χ δ a e i p x + q y + 3 δ 2 p + p 3 + δ 2 q p t 4 a 2 e δ x + y + r 1 t + χ e δ x + y + r 1 t ,
φ 3 ( x , y , t ) = 32 χ δ a 2 4 a 2 e δ x + y + r 1 t + χ e δ x + y + r 1 t 2 ,
in which r 1 = 3 δ 2 p + 9 p 3 + δ 2 6 p 2 3 q p + p + q 3 p 1 . The graph (Figure 2) of Equation (15) for various parameters is given below.

3. Description and Application of the Tanh-Coth Method

3.1. Description of the Tanh-Coth Method

In this section, the principal steps of the tanh-coth method discovered by Wazwaz [46] are provided. We first contemplate a general form of the nonlinear partial differential equation
K ( ψ , ψ t , ψ x , ψ x x , ψ x x x , ) = 0 .
To seek the travelling wave solution of Equation (17) utilizing ζ = x v t , Equation (17) can be transformed into an ordinary differential equation (ODE):
L ( ψ , ψ , ψ , ψ , ) = 0 ,
where ψ = ψ ( ζ ) , ψ = d ψ d ζ , ψ = d 2 ψ d ζ 2 , etc. A new independent variable,
Ψ = t a n h κ ζ , or Ψ = c o t h κ ζ , ζ = x v t ,
is formed, and the derivative is changed:
d d ζ = κ ( 1 Ψ 2 ) d d Ψ ,
d 2 d ζ 2 = κ 2 ( 1 Ψ 2 ) 2 ψ d d Ψ + ψ ( 1 Ψ 2 ) d 2 d Ψ 2 .
Herein, κ is defined as the wave number.
The tanh-coth method [46] permits the use of the finite expansion
ψ ( κ ζ ) = i = 0 N A i Ψ i + i = 1 N B i Ψ i
and
Ψ = κ ( 1 Ψ 2 ) ,
in which N is a positive integer. By substituting Equations (22) and (23) into Equation (4), Equation (4) can be transformed into an algebraic equation in powers of Ψ . To compute the parameter N, the highest order linear terms are balanced with the highest order nonlinear terms in the resulting equation. Then, by collecting all the coefficients of powers of Ψ in the obtained algebraic equation and vanishing them to these coefficients, we acquire a system of algebraic equations involving A 0 , A i , B i , ( i = 1 , , N ) and κ . After determining these parameters, a closed analytical solution form is obtained.

3.2. Application of the Tanh-Coth Method to the Hirota–Maccari System

The tanh-coth method is efficiently implemented in the ( 2 + 1 ) -dimensional Hirota–Maccari system in Equation (1). With the assistance of the homogeneous balance rule between U and U 3 in Equation (3), N = 1 can be determined. Therefore, Equation (22) is transformed as follows:
U ( ζ ) = A 0 + A 1 Ψ ( ζ ) + B 1 Ψ 1 ( ζ ) , A 1 , B 1 0 .
By inserting Equation (24) into Equation (4) while taking account of Equation (23) and approving all the coefficients of Ψ i ( ζ ) to zero, the following system of algebraic equations is obtained:
Ψ 3 ( ζ ) : 6 3 p 1 κ 2 B 1 + 3 p 1 B 1 3 = 0 , Ψ 2 ( ζ ) : 3 3 p 1 B 1 2 A 0 = 0 , Ψ 1 ( ζ ) : 3 p 1 B 1 6 κ 2 + 3 A 0 2 + 3 B 1 A 1 + 3 p 3 q p r B 1 = 0 , Ψ 0 ( ζ ) : 3 p 1 4 B 1 A 0 A 1 + A 0 A 0 2 + 2 B 1 A 1 + 3 p 3 q p r A 0 = 0 , Ψ ( ζ ) : 3 p 1 A 1 6 κ 2 + 3 B 1 A 1 + 3 A 0 2 + 3 p 3 q p r A 1 = 0 , Ψ 2 ( ζ ) : 3 3 p 1 A 0 A 1 2 = 0 , Ψ 3 ( ζ ) : 6 3 p 1 κ 2 A 1 + 3 p 1 A 1 3 = 0 .
Solving the algebraic system using a computer algebra system produces the following solution sets:
Case 1 : κ = 2 p 1 m 1 4 p 1 , A 0 = 0 , A 1 = 3 p 1 m 1 2 p 1 , B 1 = 3 2 m 1 3 p 1 m 1 ,
where p 1 = 3 p 1 , p 1 3 , m 1 = p 3 q p r , and p 1 m 1 > 0 . Substituting Equation (25) into Equations (24) and (19) by taking account of the wave transformation Equation (2), we have the next solutions for Equation (1):
ψ 5 ( x , y , t ) = A 1 tanh κ ω t + x + y + B 1 tanh κ ω t + x + y e i θ ,
φ 5 ( x , y , t ) = A 1 tanh κ ω t + x + y + B 1 tanh κ ω t + x + y 2 3 ,
in which θ = p x + q y + r t , ω = 8 p 3 6 p 2 2 q p + p + q + r p 1 and κ , A 1 , and B 1 are the same as in Equation (25).
Case 2 : κ = p 1 m 1 2 p 1 , A 0 = 0 , A 1 = p 1 m 1 p 1 , B 1 = m 1 p 1 m 1 .
where p 1 = 3 p 1 , p 1 3 , m 1 = p 3 q p r , and p 1 m 1 > 0 . By substituting Equation (28) into Equations (24) and (19) while taking account of the wave transformation Equation (2), we have the soliton solutions for Equation (1):
ψ 6 ( x , y , t ) = 6 2 A 1 tanh κ ω t + x + y + 6 B 1 2 tanh κ ω t + x + y e i θ ,
φ 6 ( x , y , t ) = 6 2 A 1 tanh κ ω t + x + y + 6 B 1 2 tanh κ ω t + x + y 2 3 ,
in which θ = p x + q y + r t , ω = 8 p 3 6 p 2 2 q p + p + q + r p 1 and κ , A 1 , and B 1 are the same as in Equation (28).
Case 3:
r = 24 κ 2 p + p 3 8 κ 2 q p , A 0 = 0 , A 1 = κ , B 1 = κ .
Substituting Equation (31) into Equations (24) and (19) by taking account of Equation (2), we have the soliton solutions for Equation (1):
ψ 7 ( x , y , t ) = 6 A 1 tanh κ ω t + x + y 6 B 1 tanh κ ω t + x + y e i θ ,
φ 7 ( x , y , t ) = 6 A 1 tanh 2 κ ω t + x + y 6 B 1 2 3 tanh κ ω t + x + y 2 ,
ψ 8 + ( x , y , t ) = 6 A 1 tanh κ ω t + x + y + 6 B 1 tanh κ ω t + x + y e i θ ,
φ 8 + ( x , y , t ) = 6 A 1 tanh 2 κ ω t + x + y + 6 B 1 2 3 tanh κ ω t + x + y 2 ,
where θ = p x + q y + r t , ω = 24 κ 2 p + 9 p 3 8 κ 2 6 p 2 3 q p + p + q 3 p 1 and A 1 and B 1 are the same as in Equation (31).
Below, we provide reviews of functions previously obtained between Equations (26) and (35) for certain special values and asymptotic cases. Equations (26), (29), (32), and (34) take the following forms.
For A 1 = 0 , B 1 R ,
ψ j ( x , y , t ) = B j t a n h ( ω t + x + y ) e i θ ,
for A 1 = 0 , B 1 R , x = y = 0 , t > 0 ,
ψ j ( 0 , 0 , t ) = B j t a n h ( ω t ) e i r t ,
where j = 5 , 6 , 7 , 8 , and B 5 = B 1 , B 6 = 6 2 B 1 , B 7 = 6 B 1 , B 8 = 6 B 1 . Equations (36) and (37) represent the singular solution.
For B 1 = 0 , A 1 R ,
ψ j ( x , y , t ) = A j t a n h ( ω t + x + y ) e i θ ,
for B 1 = 0 , A 1 R , x = y = 0 , t > 0 ,
ψ j ( 0 , 0 , t ) = A j t a n h ( ω t ) e i r t ,
where j = 5 , 6 , 7 , 8 , and A 5 = A 1 , A 6 = 6 2 A 1 , A 7 = 6 A 1 , A 8 = 6 A 1 . Equations (38) and (39) depict the dark soliton.
Equations (27), (30), (33), and (35) collapse into the following forms.
For A 1 = 0 , B 1 R ,
φ j ( x , y , t ) = 1 3 B j t a n h ( ω t + x + y ) 2 ,
for A 1 = 0 , B 1 R , x = y = 0 , t > 0 ,
φ j ( 0 , 0 , t ) = 1 3 B j t a n h ( ω t ) 2 ,
where j = 5 , 6 , 7 , 8 , and B 5 = B 1 , B 6 = 6 2 B 1 , B 7 = 6 B 1 , B 8 = 6 B 1 . Equations (40) and (41) represent the singular solution.
For B 1 = 0 , A 1 R ,
φ j ( x , y , t ) = 1 3 A j t a n h ( ω t + x + y ) 2 ,
for B 1 = 0 , A 1 R , x = y = 0 , t > 0 ,
φ j ( 0 , 0 , t ) = 1 3 A j t a n h ( ω t ) 2 ,
where j = 5 , 6 , 7 , 8 , and A 5 = A 1 , A 6 = 6 2 A 1 , A 7 = 6 A 1 , A 8 = 6 A 1 . Equations (42) and (43) signify the dark soliton.
If we consider ψ j ( x , y , t ) in Equations (26), (29), (32), and (34), for all solution functions we have the following asymptotic behavior:
lim | ψ j ( x , y , t ) | = 0 , x ± y y 0 t t 0 lim | ψ j ( x , y , t ) | = 0 , x x 0 y ± t t 0 lim | ψ j ( x , y , t ) | = 0 ,     j = 5 , 6 , 7 , 8 . x x 0 y y 0 t +
Taking into account φ j ( x , y , t ) in Equations (27), (30), (33) and (35), the following asymptotic equations can be written:
lim φ j ( x , y , t ) = 0 , x ± y y 0 t t 0 lim φ j ( x , y , t ) = 0 , x x 0 y ± t t 0 lim φ j ( x , y , t ) = 0 ,     j = 5 , 6 , 7 , 8 . x x 0 y y 0 t +
In Equations (44) and (45), x 0 , y 0 , t 0 are real values in which t 0 0 . Let us consider Figure 3 and Equation (29). Figure 3 represents the various graphical simulations of ψ 6 ( x , y , t ) in Equation (29). From Figure 3a,g, the following asymptotic approach is obtained:
lim | ψ 6 ( x , y , t ) | 2 = 0 ,     t 0 = 1 , 2 , 3 . x ± y y 0 = 3 t t 0
Furthermore, in Equation (29), if we consider the special value for temporal t as zero, the following form of Equation (29) is obtained:
lim | ψ 6 ( x , y , t ) | 2 = 6 2 A 1 tanh κ x + y + 6 B 1 2 tanh κ + x + y e i ( p x + q y ) . x ± y y 0 t t 0 = 0
Graphically, Equation (47) has the same character as Equation (29). Similarly, it is possible to construct such asymptotic relations for other functions.

4. Results and Discussion

In physical studies, solitary waves are beneficial for comprehending nonlinear models [47,48,49,50,51]. Bright solitons, periodic solitons, singular solitons, and other types of solitons have been utilized to understand whether nonlinear models in fields such as nonlinear optics, plasmas, and fluid dynamics are stable or unstable. From Figure 1, Figure 2 and Figure 3, it can be seen that these methods can be utilized for searching the nonlinear complex equation and nonlinear equation systems in optical soliton structures. In Figure 1, we depict the 3D, 2D, and contour plots for the modulus and the real and imaginary parts of ψ 1 + ( x , 1 , t ) for the values p = 1 , q = 1 , r = 0.5 , a = 10 , and χ = 0.5 . The graph of | ψ 1 + ( x , 1 , t ) | 2 indicates the periodic bright and dark solitons. In Figure 2, we depict the 3D, 2D, and contour plots for the modulus and the real and imaginary parts of ψ 3 ( x , 1 , t ) for the values p = 1 , q = 1.5 , δ = 2 , a = 0.5 , and χ = 1 . The plot of | ψ 3 ( x , 1 , t ) | 2 indicates the bright soliton. In Figure 3, we present the 3D, 2D, and contour plots for the modulus and the real and imaginary parts of ψ 6 ( x , 3 , t ) for the values p = 0.75 , q = 0.5 and, r = 0.5 . The graph of the solution | ψ 6 ( x , 3 , t ) | 2 indicates the singular soliton. We to emphasize that in Figure 3a, Figure 1a and Figure 2a, 3D graphs were drawn for ψ 1 + ( x , 1 , t ) in Equation (11), ψ 3 ( x , 1 , t ) in Equation (15), and ψ 6 ( x , 3 , t ) in Equation (29), respectively. However, the graphs of φ 1 ( x , 1 , t ) in Equation (12), φ 3 ( x , 1 , t ) in Equation (16), and φ 6 ( x , 3 , t ) in Equation (30), which are scalar field functions, are not plotted separately because of the differences in amplitude according to Equation (3); nonetheless, all are of the same type graphically. In addition, we emphasize that all soliton solutions obtained within the scope of this article provide the main equation, Equation (1), that we have investigated.

5. Conclusions

In this work, we used the new Kudryashov and tanh-coth methods to investigate the existence of analytical and soliton solutions for the ( 2 + 1 ) -dimensional Hirota–Maccari system. As a result, singular, bright, and periodic soliton solutions of the model were successfully captured. The 3D, 2D, and contour plots of the obtained soliton solution show the correct parameter values. We strongly believe that the solution resulting from this study can contribute and add value to the research in this area of the literature, especially considering that the system, higher order, and dispersive nonlinear partial differential equations involve complex and unique challenges, and the method selection gains importance at this point. In this study, we understood well that the presented methods have proven to be efficient and robust approaches that acquire successful results when analyzing and investigating soliton solutions of different nonlinear models.

Author Contributions

N.O., A.S., M.O. and M.B. contributed equally to the writing of this paper. All authors read and approved the final manuscript.

Funding

This research received no external funding.

Data Availability Statement

All data generated or analyzed during this study are included in this article.

Conflicts of Interest

The authors declare that there is no conflict of interest.

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Figure 1. 3D plots of ψ 1 + ( x , 1 , t ) in Equation (12): (a) the graph of the square of the modulus; (b) the graph of the real part; and (c) the graph of the imaginary part. Contour plots of ψ 1 + ( x , 1 , t ) in Equation (12): (d) the graph of the square of the modulus; (e) the graph of the real part; and (f) the graph of the imaginary part. 2D plots of ψ 1 + ( x , 1 , t ) in Equation (12): (g) the graph of the square of the modulus; (h) the graph of the real part; and (i) the graph of the imaginary part of ψ 1 + ( x , 1 , t ) for the parameters p = 1 , q = 1 , r = 0.5 , a = 10 and χ = 0.5 .
Figure 1. 3D plots of ψ 1 + ( x , 1 , t ) in Equation (12): (a) the graph of the square of the modulus; (b) the graph of the real part; and (c) the graph of the imaginary part. Contour plots of ψ 1 + ( x , 1 , t ) in Equation (12): (d) the graph of the square of the modulus; (e) the graph of the real part; and (f) the graph of the imaginary part. 2D plots of ψ 1 + ( x , 1 , t ) in Equation (12): (g) the graph of the square of the modulus; (h) the graph of the real part; and (i) the graph of the imaginary part of ψ 1 + ( x , 1 , t ) for the parameters p = 1 , q = 1 , r = 0.5 , a = 10 and χ = 0.5 .
Universe 08 00584 g001
Figure 2. 3D plots of ψ 3 ( x , 1 , t ) in Equation (16): (a) the graph of the square of the modulus; (b) the graph of the real part; and (c) the graph of the imaginary part. Contour plots of ψ 3 ( x , 1 , t ) in Equation (16): (d) the graph of the square of the modulus; (e) the graph of the real part; and (f) the graph of the imaginary part. 2D plots of ψ 3 ( x , 1 , t ) in Equation (16): (g) the graph of the square of the modulus; (h) the graph of the real part; and (i) the graph of the imaginary part of ψ 3 ( x , 1 , t ) in Equation (16) for the parameters p = 1 , q = 1.5 , δ = 2 , a = 0.5 , and χ = 1 .
Figure 2. 3D plots of ψ 3 ( x , 1 , t ) in Equation (16): (a) the graph of the square of the modulus; (b) the graph of the real part; and (c) the graph of the imaginary part. Contour plots of ψ 3 ( x , 1 , t ) in Equation (16): (d) the graph of the square of the modulus; (e) the graph of the real part; and (f) the graph of the imaginary part. 2D plots of ψ 3 ( x , 1 , t ) in Equation (16): (g) the graph of the square of the modulus; (h) the graph of the real part; and (i) the graph of the imaginary part of ψ 3 ( x , 1 , t ) in Equation (16) for the parameters p = 1 , q = 1.5 , δ = 2 , a = 0.5 , and χ = 1 .
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Figure 3. 3D plots of ψ 6 ( x , 3 , t ) in Equation (31): (a) the graph of the square of the modulus; (b) the graph of the real part; and (c) the graph of the imaginary part. Contour plots of ψ 6 ( x , 3 , t ) in Equation (31): (d) the graph of the square of the modulus; (e) the graph of the real part; and (f) the graph of the imaginary part. 2D plots of ψ 6 ( x , 3 , t ) in Equation (31): (g) the graph of the square of the modulus; (h) the graph of the real part; and (i) the graph of the imaginary part for p = 0.75 , q = 0.5 , and r = 0.5 .
Figure 3. 3D plots of ψ 6 ( x , 3 , t ) in Equation (31): (a) the graph of the square of the modulus; (b) the graph of the real part; and (c) the graph of the imaginary part. Contour plots of ψ 6 ( x , 3 , t ) in Equation (31): (d) the graph of the square of the modulus; (e) the graph of the real part; and (f) the graph of the imaginary part. 2D plots of ψ 6 ( x , 3 , t ) in Equation (31): (g) the graph of the square of the modulus; (h) the graph of the real part; and (i) the graph of the imaginary part for p = 0.75 , q = 0.5 , and r = 0.5 .
Universe 08 00584 g003aUniverse 08 00584 g003b
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Ozdemir, N.; Secer, A.; Ozisik, M.; Bayram, M. Two Analytical Schemes for the Optical Soliton Solution of the (2 + 1) Hirota–Maccari System Observed in Single-Mode Fibers. Universe 2022, 8, 584. https://doi.org/10.3390/universe8110584

AMA Style

Ozdemir N, Secer A, Ozisik M, Bayram M. Two Analytical Schemes for the Optical Soliton Solution of the (2 + 1) Hirota–Maccari System Observed in Single-Mode Fibers. Universe. 2022; 8(11):584. https://doi.org/10.3390/universe8110584

Chicago/Turabian Style

Ozdemir, Neslihan, Aydin Secer, Muslum Ozisik, and Mustafa Bayram. 2022. "Two Analytical Schemes for the Optical Soliton Solution of the (2 + 1) Hirota–Maccari System Observed in Single-Mode Fibers" Universe 8, no. 11: 584. https://doi.org/10.3390/universe8110584

APA Style

Ozdemir, N., Secer, A., Ozisik, M., & Bayram, M. (2022). Two Analytical Schemes for the Optical Soliton Solution of the (2 + 1) Hirota–Maccari System Observed in Single-Mode Fibers. Universe, 8(11), 584. https://doi.org/10.3390/universe8110584

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