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Research Article

Extraction of optical wave structures to the coupled fractional system in magneto-optic waveguides

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Pages 242-254 | Received 24 Jan 2024, Accepted 28 Mar 2024, Published online: 10 Apr 2024

Abstract

In this article, truncated M-fractional coupled nonlinear Schrodinger equation (NLSE) with quadratic–cubic nonlinearity is under observation. The studied model is composed of chromatic dispersion, magneto-optic parameter and inter-modal dispersion. The NLSE is the most significant physical model to explain the fluctuations of optical soliton proliferation. The NLSEs have become more popular because of the clarity with which they explain a wide range of complex physical phenomena and the depth with which they display dynamical patterns via localized wave solutions. Optical soliton propagation in magneto-optic is currently a subject of great interest due to the multiple prospects for ultrafast signal routing systems and short light pulses in communications. The optical solitons are secured in the forms of bright, dark, singular and combo solitons. In addition, hyperbolic, periodic and exponential function solutions have been recovered. The modified Sardar subequation and enhanced modified extended tanh-expansion approaches recently developed integration tools are adopted in this study for securing the solutions. In nonlinear dispersive media, optical solitons are stretched electromagnetic waves that maintain their intensity due to a balance between the effects of dispersion and nonlinearity. The effect of parameters have been observed by allotting suitable values and sketching the different shapes of the graphs.

1. Introduction

Soliton theory has attracted significant interest due to its importance in the domains of telecommunications, mathematical physics, engineering and various other branches of nonlinear sciences (Akinyemi, Şenol, Tasbozan, & Kurt, Citation2022). Recently, optical solitons in particular have been actively the interested research topic. In systems for fiber transmission, solitons may act as natural optical information bits, propagating almost insensitively to polarization mode and chromatic dispersion across large distances and maintaining their particle-like characteristics even when there are massive perturbations, hence making them the best options to utilize in all-optical switching systems (Zhao, Mathanaranjan, Rezazadeh, Akinyemi, & Inc, Citation2022). Mathanaranjan, Kumar, Rezazadeh, and Akinyemi (Citation2022) and Younas, Yao, Ismael, Sulaiman, and Murad (Citation2024) predicted the existence of solitons in nonlinear optical fibers in 1973, and their existence was experimentally verified in 1980. Since then, both experimental and theoretical physicists have been fascinated by this subject due to its numerous applications. Optical solitons can exist in a variety of systems, including optic waveguides, photonic crystal fibers, bulk materials such as photorefractive materials, and photopolymers.

NLPDEs are frequently used to model various computational, technological, and scientific problems. These models are extensively used in various fields such as astronomy, chemical analysis, biological processes, fiber studies, and flow dynamics (Altawallbeh et al., Citation2022; Nasreen et al., Citation2023). NLPDEs are mathematical models used to simulate complex natural phenomena in various fields such as development, sciences, engineering, biochemistry, and dynamics (Younas, Ren, Sulaiman, Bilal, & Yusuf, Citation2022). One of the prominent and extensively employed models is the NLSE, which is applicable in various scientific scenarios such as light propagation in irregular optical fibers, liquid structure, cell biology, deformable materials, atomic structure, turbulent phenomena, rotating magnetic fields, hydraulics, imaging, chemical kinetics, electricity, superconductivity, electromagnetic wave transmission, and several other fields (Mathanaranjan, Citation2023a,b; Mathanaranjan & Vijayakumar, Citation2022). Moreover, fractional form of the NLPDEs have received significant interest from researchers due to their extensive scientific applications and frequent occurrence in research and industrial settings. These mathematical representations can be utilized to illustrate various phenomena in the domains of electricity, electrochemistry, information processing, solid mechanics, physiological community models, and fluid dynamics. Currently, researchers are exploring various effective methods to handle the complex structures of physical applications that have emerged as a result of the development of conceptual computing bundles (Alshammari, Al-Sawalha, & Shah, Citation2023; Han, Li, & Li, Citation2023; Jamal, Ullah, Ahmad, Sarwar, & Shokri, Citation2023; Mirzazadeh, Sharif, Hashemi, Akgül, & El Din, Citation2023). Furthermore, in order to properly appreciate the relevance of these derivatives in a range of nonlinear physical processes, significant developments are being achieved in the definition of fractional derivatives (Alshehry, Yasmin, Ghani, Shah, & Nonlaopon, Citation2023; Jamal et al., Citation2023). Compared to the integer derivative, the fractional derivative demonstrates a broader connection and can accurately represent the dynamic processes involved in function construction. The field of fractional calculus encompasses a wide range of topics including applied mathematics, fluid mechanics, hydrodynamics, system identification, quasi-chaotic dynamical systems, statistics, finance, ecology, chaotic dynamical systems, optical fibers, solid-state biology, and electric control theory. Unlike traditional calculus, which only evaluates the present condition of the problem, the fractional derivative employed in mathematical modeling of these situations provides a logical explanation for the nonlocal characteristics of these models. Different computational techniques have been developed for analyzing the nonlinear complicated systems governed by fractional and non-fractional differential equations the in recent years. Some methods are like truncated Painlevé approach (Raza, Rani, Chahlaoui, & Shah, Citation2023), Riccati equation mapping method (Zhu, Citation2008), improved F-expansion function method (Akram, Ahmad, Rehman, & Ali, Citation2023), Lie symmetry technique (Raza, Rani, et al., Citation2023), bifurcation analysis (Han, Li, et al., Citation2023), modified simple equation technique (Zayed & Ibrahim, Citation2012), iterative transform method (Shah, Agarwa, Chung, El-Zahar, & Hamed, Citation2020), new sub equation method and modified Khater’s method (Tripathy, Sahoo, Rezazadeh, Izgi, & Osman, Citation2023), Hirota bilinear method (Younas, Ren, et al., Citation2022), new extended auxiliary equation method (Mathanaranjan, Citation2023). Every approach possesses a distinct set of prerequisites that must be fulfilled in order to be employed in the governing framework. In recent times, there has been a growing interest among researchers and analysts in obtaining exact soliton solutions for nonlinear dynamical systems. This effort is facilitated by the availability of computer tools that ease the laborious and time-consuming mathematical calculations involved in this process.

However, this study aims to uncover the optical solitons and other solutions in magneto-optic waveguides. The governing system is represented by a fractional coupled system of NLSE with quadratic-cubic nonlinearity. The solutions are obtained through a robust integration methods known as the modified Sardar sub equation (MSSE) method (Akinyemi et al., Citation2024; Ibrahim, Sulaiman, Yusuf, Ozsahin, & Baleanu, Citation2024) and enhanced modified extended tanh-expansion method (eMETEM) (Esen, Ozisik, Secer, & Bayram, Citation2022). The applied methods are versatile approaches applicable to a wide range of nonlinear differential equations, especially those involving second-order differentials, some types of nonlinear partial differentials and systems. Their key advantage lies in simplifying nonlinear equations, making it easier to find solutions, including exact ones. The methods provide closed-form solutions with parameters, offering flexibility for different scenarios. While not a universal solution for all nonlinear equations, it becomes particularly useful when other methods fail. The research using these methods have unveiled novel soliton solutions with applications in mathematical physics.

The article is arranged as: Section 2 consists the governing equation. Properties of fractional derivative in Section 3 and extraction of solutions are discussed Section 4, respectively. Section 5, includes the discussion and graphical view about the earned solutions, while concluding remarks is given in Section 6.

2. The governing equation

In-depth research projects have been promoted by the improvements in optical communication technologies, quantum mechanics, computer networks, the Heisenberg spin chain, plasma physics, the Bose Einstein condensation, and condensed matter physics. These projects focus on studying the dynamics of soliton propagation through fiber optics. Numerous studies have been conducted on nonlinear optical phenomena, especially after the development of ultrashort pulse lasers. These lasers utilize the NLSE equation to simulate optical phenomena in extremely nonlinear media. The presence of soliton clutter poses a significant barrier to the propagation of solitons in optical waveguides. To overcome this effect, a favorable approach is to incorporate magneto-optic waveguides. These waveguides efficiently and beneficially transition from a state of disorder to a state of separateness. This allows for the continuous transmission of solitons, effectively resolving the issue of optical soliton collisions within the optical solitons. The M fractional form coupled NLSE in magneto-optic waveguides (Asma et al., Citation2020) where the QC nonlinearity is given as: (1) {iDM,tϵ,βp+a1DM,x2ϵ,βp+(b1|p|+c1|p|2+d1|q|+e1|q|2)p=f1q+i[σ1DM,xϵ,βp+λ1DM,xϵ,β(|p|2p)+γ1pDM,xϵ,β(|p|2)+δ1|p|2DM,xϵ,βp],iDM,tϵ,βq+a2DM,x2ϵ,βq+(b2|q|+c2|q|2+d2|p|+e2|p|2)q=f2p+i[σ2DM,xϵ,βq+λ2DM,xϵ,β(|q|2q)+γ2qDM,xϵ,β(|q|2)+δ2|q|2DM,xϵ,βq],(1) where, al, bl, cl, dl, el, fl, σl, γl, λl, and δl, (l=1,2) are constants and i=1, while DMϵ,β serves to denote the M-truncated derivative with ϵ(0,1] and β>0. The system Equation(1) is the M-fractional NLSE which propagates the optical pulses through magneto–optic waveguides with x and t that are spatial and temporal components, respectively. Here al is coefficient chromatic dispersion (CD), f1 denote the magneto-optic parameter whereas σl represent inter-modal dispersion (IMD). The self-steepening term that prevents shock waves formation is denoted by the symbol λl. Moreover, γl and δl accounts for nonlinear dispersion. Now, in the next section, we recover the different forms of solutions to the studied model.

3. The truncated M-fractional derivative

Research related to solitary wave solutions is a prominent field of study, wherein the application of truncated M-fractional derivative has received significant attention from researchers. Comparing the truncated M-fractional derivative to other fractional derivatives, several recent studies have shown that it provides a more realistic representation of the behavior of solitary waves in particular nonlinear systems. Moreover, this phenomenon exhibits a wide range of applications across many disciplines in the realms of engineering and other related science, encompassing fluid dynamics, signal processing, and electro-magnetics, and others. The truncated M-fractional derivative possesses considerable importance due to its capacity to accurately depict complex systems with nonlinear dynamics, memory effects, and long-range and nonlocal interactions. This specific type of derivative equips academics and professionals with an effective tool to understand and analyze an extensive variety of physical, biological, and engineering related systems. The depiction of solitary waves is accomplished by using the truncated M-fractional derivative, that can be described as localized disturbances propagating through a medium without altering its shape. This specific derivative allows memory effects to be included in the model, hence enhancing its ability to accurately represent the dynamics of the system.

Definition 3.1.

Let Ψ:[0,)R, then the new truncated M -fractional derivative of h of order μ is discussed (Sousa & Oliveira, Citation2018) as: (2) DMσ,ζ{(ψ)(t)}=limϵ0ψ(tEζ(ϵt1σ))ψ(t)ϵ,ζ>0,σ(0,1),t>0,(2) with Eζ(.) being the one parameter truncated Mittag–Leffler function (Sousa & Oliveira, Citation2018).

Theorem 3.1.

Let ζ>0, 0<σ1, p,sR, and ψ,ϕ μ-differentiable at a point t>0. Then:

  1. DMσ,ζ{(pϕ+sψ)(t)}=pDMσ,ζ{ϕ(t)}+sDMσ,ζ{ψ(t)}.

  2. DMσ,ζ{(ϕ.ψ)(t)}=ϕ(t)DMσ,ζ{Ψ(t)}+ψ(t)DMσ,ζ{ϕ(t)}.

  3. DMσ,ζ{ϕψ(t)}=ψ(t)DMσ,ζ{ϕ(t)}ϕ(t)DMσ,ζ{ψ(t)}[ψ(t)]2.

  4. DMσ,ζ{c}=0, where ϕ(t)=c is a constant.

  5. If ϕ is differentiable, then DMσ,ζ{ϕ(t)}=t1σΓ(ζ+1)dϕ(t)dt.

4. Extraction of solutions

For securing a variety of solutions to EquationEq. (1), we take the transformation defined as: (3) p(x,t)=Δ1(η)eiψ,q(x,t)=Δ2(η)eiψ,where, η=Γ(β+1)(xϵρtϵ)ϵ and ψ=Γ(β+1)(ωtϵ+φκxϵ)ϵ,(3) and k, ω, ρ, and φ represent the frequency, wave number, velocity, and phase constant, respectively, while Δ1,Δ2 and ψ(x,t) are real-valued functions that represent the soliton’s phase component and amplitude portion, respectively. On solving EquationEq. (3) and EquationEq. (1), we get

Real part

(4) {a1Δ1(k(λ1+δ1)c1)Δ13+b1Δ12(ω+a1k2+kσ1)Δ1+d1Δ1Δ2+e1Δ1Δ22f1Δ2=0,a2Δ2(k(λ2+δ2)c2)Δ23+b2Δ22(ω+a2k2+kσ2)Δ2+d2Δ2Δ1+e2Δ2Δ12f2Δ1=0,(4)

Imaginary part

(5) {(ρ+2a1k+σ1)Δ1+(3λ1+2γ1+δ1)Δ12Δ1=0,(ρ+2a2k+σ2)Δ2+(3λ2+2γ2+δ2)Δ22Δ2=0.(5)

Integrating EquationEq. (5) by considering the zero integration constant offers (6) (ρ+2a1k+σ1)H1+(3λ1+2γ1+δ1)H13=0,(6) and (7) (ρ+2a2k+σ2)H2+(3λ2+2γ2+δ2)H23=0,(7)

EquationEquations (6) and Equation(7) provide (8) ρ=(2a1k+σ1),(8) (9) 3λ1+2γ1+δ1=0,(9) and (10) ρ=(2a2k+σ2),(10) (11) 3λ2+2γ2+δ2=0.(11)

Next, on manipulating EquationEqs. (8) and Equation(10), the frequency of soliton is expressed as: (12) k=σ2σ12(a1a2),(12) provided a1a2 and σ1σ2. On setting: (13) Δ2(η)=ζΔ1(η), with ζ0 and ζ1. (13)

EquationEquation (4) is written as: (14) {a1Δ1(k(λ1+δ1)c1ζ2e1)Δ13+(b1+ζd1)Δ12(ω+a1k2+kσ1+ζf1)Δ1=0,a2ζΔ1ζ(ζ2(kλ2+kδ2)c2)e2)Δ13+ζ(b2+ζd2)Δ12(ζ(ω+a2k2+kσ2)+f2)Δ1=0.(14)

EquationEquation (14) has the same form under the constraint conditions: (15) {a1=a2ζ.b1+ζd1=ζ(ζb2+d2).ω+a1k2+kσ1+ζf1=ζ(ω+a2k2+kσ2)+f2.(k(λ1+δ1)c1ζ2e1=ζ(ζ2kλ2+kδ2)c2)e2).(15)

From EquationEq. (15), ω representing the wave number can be written as (16) ω=k2(a1+ζa2)+k(ζσ2σ1)+f2ζf11ζ,(16)

EquationEquation (14) may be rewrite as (17) Δ1Γ1Δ13+Γ2Δ12Γ3Δ13=0,(17) where, Γ1=(k(λ1+δ1)c1ζ2e1)a1, Γ2=b1+ζd1a1, and Γ3=(ω+a1k2+kσ1+ζf1)a1. Next, on making the balance between Δ1 and Δ13 in above equation gives n=1.

4.1. Solutions via modified sardar subequation method

Based on n=1, we apply the proposed method to secure the solutions. The general form of the solution for MSSE method (Ibrahim et al., Citation2024) is expressed as: (18) Δ1(η)=ϕ0+r=1nϕrΘr(η),(18)

For n=1, the above solution takes the form as: (19) Δ1(η)=ϕ0+ϕ1Θ(η).(19)

On putting EquationEq. (19) in EquationEq. (17), we get

Set 1  ϕ0=3φ1Γ2,ϕ1=3i2φ1φ2Γ2,Γ1=Γ229φ1,Γ3=2φ1.

Set 2  ϕ0=iφ1Γ1,ϕ1=2φ2Γ1,Γ3=2φ1,Γ2=3iΓ1φ1.

For set 1, the following solutions are secured as:

(I): When φ0=0, φ1>0 and φ20, we have

The bright soliton solution (20) p1(x,t)=3exp(iΓ(β+1)(tϵ(κ2(a1+ζa2)+f2 ζf1+κ(ζσ2σ1))1Γ(β+1)(xϵρtϵ)ϵ+φκxϵ)ϵ)Γ2×(φ1i2φ1φ1φ2φ2sech(φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))).(20)

The explicit solitary wave solution (21) p2(x,t)=3exp(iΓ(β+1)(ϵtϵ(κ(κ(a1+ζa2)+ζσ2σ1)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ2×(φ1i2φ1φ2φ2csch(φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))).(21)

(II): When φ2=±4β1β2, φ0=0 and φ1>0, where β1, β2 are nonzero constants, we get (22) p3(x,t)=3exp(iΓ(β+1)(ϵtϵ(κ(κ(a1+ζa2)+ζσ2σ1)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ2×(1+2i2β1β2eφ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)β1e2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)β2)φ1.(22)

(III): When φ0=φ124φ2,φ1<0,φ2>0, we have

The dark soliton solution (23) p4(x,t)=3exp(iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2ζf1+ζσ2κκσ1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ2×(φ1(φ1iφ1φ2φ2tanh(φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)2))).(23)

The singular soliton solution (24) p5(x,t)=3exp(iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2ζf1+ζσ2κκσ1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ2×(φ1(φ1iφ1φ2φ2coth(φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)2))).(24)

The combo bright-dark soliton solution (25) p6(x,t)=3exp(iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2ζf1+ζσ2κκσ1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ2×φ1(φ1φ1φ2φ2(sech(2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))+itanh(2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)))).(25)

The solitary wave solutions (26) p7(x,t)=exp(iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2ζf1+ζσ2κκσ1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)×(3φ1Γ2+3iφ1φ1φ2φ2(coth(φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)22)+tanh(φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)22))2Γ2).(26) (27) p8(x,t)=exp(iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2ζf1+ζσ2κκσ1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ2 ×(3φ13iφ1φ1φ2φ2cosh(2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))sinh(2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))i).(27)

For set 2, the following solutions are extracted as:

(IV): When φ0=0, φ1<0 and φ20, we have (28) p9(x,t)=exp(iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2ζf1+ζσ2κκσ1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ1 ×(2φ1φ2φ2sec(φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))iφ1).(28) and (29) p10(x,t)=exp(iΓ(β+1)(ϵtϵ(κ(κ(a1+ζa2)+ζσ2σ1)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ1(2φ1φ2φ2csc(φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))iφ1).(29)

(V): When φ0=φ124φ2, φ1>0, we have (30) p11(x,t)=iexp(iΓ(β+1)(ϵtϵ(κ(κ(a1+ζa2)+ζσ2σ1)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ1×(φ1iφ1φ2φ2(tan(2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))+sec(2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)))).(30) (31) p12(x,t)=exp(iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2ζf1+ζσ2κκσ1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ1 ×(φ1φ2φ2cos(2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))sin(2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ))+1iφ1).(31)

(VI): When φ0=0 and φ1>0, we have (32) p13(x,t)=exp(iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2ζf1+ζσ2κκσ1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ1×(φ1(42φ1φ2eφ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)e2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)4φ1φ2i)).(32) (33) p14(x,t)=φ1exp(iΓ(β+1)(ϵtϵ(κ(κ(a1+ζa2)+ζσ2σ1)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+φκxϵ)ϵ)Γ1 ×(42φ1φ2eφ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)4φ1φ2e2φ1(Γ(β+1)(xϵρtϵ)ϵ+ϑ)1i).(33)

Remark:

One can secure the more solutions for the profile q(x,t) with the relation, q(x,t)=ζpi(x,t),i=1,2,14.

Graphs

4.2 Solutions via enhanced modified extended tanh-expansion approach

The general solution for eMETEM is expressed as: (34) Δ1(η)=ϕ0+i=1nϕiΘi(η)+i=1nΦiΘi(η).(34)

For n=1, the solution for EquationEq. (17) is expressed as: (35) Δ1(η)=ϕ0+ϕ1Θ(η)+Φ1Θ(η).(35)

On putting EquationEq. (35) in EquationEq. (17), we get

Set 1  ϕ0=6δ0Γ2,ϕ1=0,Φ1=6iδ03/2Γ2,Γ1=Γ2218δ0,Γ3=4δ0.

Set 2  ϕ1=ϕ02δ0,Φ1=δ0ϕ02,Γ1=4δ0ϕ02,Γ2=12δ0ϕ0,Γ3=8δ0.

For considering δ0<0 and taking set 1, the following solitary wave solutions are secured as:

The singular soliton solution (36) p1(x,t)=6exp(iΓ(β+1)(ϵtϵ((σ1σ2)2(a1+ζa2)4(a1a2)2+(σ2σ1)(ζσ2σ1)2(a1a2)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+(σ1σ2)xϵ2(a1a2)+φ)ϵ)Γ2×(δ0iδ0coth(δ0Γ(β+1)(xϵρtϵ)ϵ)δ0).(36)

The dark soliton solution (37) p2(x,t)=6exp(iΓ(β+1)(ϵtϵ((σ1σ2)2(a1+ζa2)4(a1a2)2+(σ2σ1)(ζσ2σ1)2(a1a2)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+(σ1σ2)xϵ2(a1a2)+φ)ϵ)Γ2×(δ0iδ0 tanh(δ0Γ(β+1)(xϵρtϵ)ϵ)δ0).(37)

The explicit solitary wave solution (38) p3(x,t)=6exp(iΓ(β+1)(ϵtϵ((σ1σ2)2(a1+ζa2)4(a1a2)2+(σ2σ1)(ζσ2σ1)2(a1a2)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+(σ1σ2)xϵ2(a1a2)+φ)ϵ)Γ2×(1+δ0 cosh(2δ0Γ(β+1)(xϵρtϵ)ϵ)δ0(λi sinh(2δ0Γ(β+1)(xϵρtϵ)ϵ)))δ0.(38)

The kink type soliton solution (39) p4(x,t)=6exp(iΓ(β+1)(ϵtϵ((σ1σ2)2(a1+ζa2)4(a1a2)2+(σ2σ1)(ζσ2σ1)2(a1a2)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+(σ1σ2)xϵ2(a1a2)+φ)ϵ)Γ2(δ0δ0tanh(δ0Γ(β+1)(xϵρtϵ)ϵ))×(δ0(δ0iδ0tanh(δ0Γ(β+1)(xϵρtϵ)ϵ)))(δ0i).(39)

The soliton solutions (40) p5(x,t)=6exp(iΓ(β+1)(ϵtϵ((σ1σ2)2(a1+ζa2)4(a1a2)2+(σ2σ1)(ζσ2σ1)2(a1a2)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+(σ1σ2)xϵ2(a1a2)+φ)ϵ)Γ2×(1+iδ0(4sinh(2δ0Γ(β+1)(xϵρtϵ)ϵ)+3)δ0(4cosh(2δ0Γ(β+1)(xϵρtϵ)ϵ)5))δ0.(40) (41) p6(x,t)=6exp(iΓ(β+1)(ϵtϵ((σ1σ2)2(a1+ζa2)4(a1a2)2+(σ2σ1)(ζσ2σ1)2(a1a2)+f2ζf1)Γ(β+1)(ρtϵxϵ)+ϵ+(σ1σ2)xϵ2(a1a2)+φ)ϵ)Γ2 ×(1+iδ0(csinh(2δ0Γ(β+1)(xϵρtϵ)ϵ)+d)4cδ0cosh(2δ0Γ(β+1)(xϵρtϵ)ϵ)λδ0((c2+d2)))δ0.(41)

Next on taking δ0>0 and selecting set 2, we get the following explicit solitary periodic wave solutions as: (42) p7(x,t)=exp(iΓ(β+1)((σ1σ2)xϵ2(a1a2)+ωtϵ+φ)ϵ)×(1+2csc(2δ0Γ(β+1)(xϵρtϵ)ϵ))ϕ0.(42) (43) p8(x,t)=12exp(iΓ(β+1)((σ1σ2)xϵ2(a1a2)+ωtϵ+φ)ϵ)×(22cos(2δ0Γ(β+1)(xϵρtϵ)ϵ)λ+sin(2δ0Γ(β+1)(xϵρtϵ)ϵ)2sec[2δ0Γ(β+1)(xϵρtϵ)ϵ](λ+sin(2δ0Γ(β+1)(xϵρtϵ)ϵ))ϕ0.(43) (44) p9(x,t)=12exp(iΓ(β+1)((σ1σ2)xϵ2(a1a2)+ωtϵ+φ)ϵ) ×(2+2((1δ0)tan(2δ0Γ(β+1)(xϵρtϵ)ϵ)+(δ0+1)sec(2δ0Γ(β+1)(xϵρtϵ)ϵ))δ0)ϕ0.(44) (45) p10(x,t)=12exp(iΓ(β+1)((σ1σ2)xϵ2(a1a2)+ωtϵ+φ)ϵ) ×(2+2(5cos(2δ0Γ(β+1)(xϵρtϵ)ϵ)4)3+5sin(2δ0Γ(β+1)(xϵρtϵ)ϵ)+2(5sin(2δ0Γ(β+1)(xϵρtϵ)ϵ)+3)5cos(2δ0Γ(β+1)(xϵρtϵ)ϵ)4)ϕ0.(45)

5. Discussion

The quadratic–cubic (QC) type is a nonlinear form of refractive index that has recently garnered significant attention. There is a plethora of reported results in both polarization-preserving and birefringent fibers. It is now necessary to shift focus towards the study of soliton dynamics in magneto-optic waveguides. Studying soliton dynamics in magneto-optic waveguides holds significant importance. Magneto-optic elements have the ability to transition solitons from an attractive state to an isolated state. This allows for the management of the phenomenon known as ”soliton clutter”. In the available literature, magneto-optic waveguides with different nonlinear forms has been discussed, such that in Asma et al. (Citation2020) the extended auxiliary equation approach and the unified Riccati equation expansion were the applied and different forms of solutions have been obtained, the traveling wave hypothesis was to used study the optical solitons (Asma et al., Citation2020). It has been observed that the basic parabolic law of nonlinearity governs the behavior of optical solitons in a waveguide by Zayed et al. (Citation2020). Moreover, the dual-power law nonlinearity was used in waveguides and studied with usage of modified extended direct algebraic method (Ahmed & Rabie, Citation2021). New mapping method with Kudryashov’s law of refractive index in the waveguides has been discussed (Zayed, Alurrfi, & Alshbear, Citation2023). However, in this study, we have discussed the fractional affect in the magnet-optic waveguides under QC nonlinear form. The nonlinear Schrödinger’s equation coupled system is regarded as the governing system for the propogation of optical pulses in the magnet-optic waveguides. For observing the parametric behavior on the dynamics of soliton, the graphs have been sketched in the real and imaginary part of the solutions as shown in the . This article’s findings may be applicable to understanding the structure of many nonlinear progress scenarios that appear in several subfields of nonlinear science.

Figure 1. Sketches of the EquationEq. (20) for ϵ=0.6.

Figure 1. Sketches of the EquationEq. (20)(20) p1(x,t)=−3 exp (iΓ(β+1)(tϵ(κ2(a1+ζa2)+f2− ζf1+κ(ζσ2−σ1))1−Γ(β+1)(xϵ−ρtϵ)ϵ+φ−κxϵ)ϵ)Γ2×(φ1−i2φ1−φ1φ2φ2sech(φ1(Γ(β+1)(xϵ−ρtϵ)ϵ+ϑ))).(20) for ϵ=0.6.

Figure 2. Sketches of the EquationEq. (22) for ϵ=0.2.

Figure 2. Sketches of the EquationEq. (22)(22) p3(x,t)=3 exp (iΓ(β+1)(ϵtϵ(κ(κ(a1+ζa2)+ζσ2−σ1)+f2−ζf1)Γ(β+1)(ρtϵ−xϵ)+ϵ+φ−κxϵ)ϵ)Γ2×(−1+2i2β1β2eφ1(Γ(β+1)(xϵ−ρtϵ)ϵ+ϑ)β1e2φ1(Γ(β+1)(xϵ−ρtϵ)ϵ+ϑ)−β2)φ1.(22) for ϵ=0.2.

Figure 3. Sketches of the EquationEq. (25) for ϵ=0.67.

Figure 3. Sketches of the EquationEq. (25)(25) p6(x,t)=−3 exp (iΓ(β+1)(ϵtϵ(a1κ2+f2+ζa2κ2−ζf1+ζσ2κ−κσ1)Γ(β+1)(ρtϵ−xϵ)+ϵ+φ−κxϵ)ϵ)Γ2×φ1(φ1−−φ1φ2φ2(sech(2−φ1(Γ(β+1)(xϵ−ρtϵ)ϵ+ϑ))+itanh(2−φ1(Γ(β+1)(xϵ−ρtϵ)ϵ+ϑ)))).(25) for ϵ=0.67.

Figure 4. Sketches of the EquationEq. (29) for ϵ=0.545.

Figure 4. Sketches of the EquationEq. (29)(29) p10(x,t)= exp (iΓ(β+1)(ϵtϵ(κ(κ(a1+ζa2)+ζσ2−σ1)+f2−ζf1)Γ(β+1)(ρtϵ−xϵ)+ϵ+φ−κxϵ)ϵ)Γ1(2−φ1φ2φ2csc(−φ1(Γ(β+1)(xϵ−ρtϵ)ϵ+ϑ))−iφ1).(29) for ϵ=0.545.

Figure 5. Sketches of the EquationEq. (33) for ϵ=0.45.

Figure 5. Sketches of the EquationEq. (33)(33) p14(x,t)=φ1 exp (iΓ(β+1)(ϵtϵ(κ(κ(a1+ζa2)+ζσ2−σ1)+f2−ζf1)Γ(β+1)(ρtϵ−xϵ)+ϵ+φ−κxϵ)ϵ)Γ1 ×(42φ1φ2eφ1(Γ(β+1)(xϵ−ρtϵ)ϵ+ϑ)4φ1φ2e2φ1(Γ(β+1)(xϵ−ρtϵ)ϵ+ϑ)−1−i).(33) for ϵ=0.45.

Figure 6. Sketches of the EquationEq. (37) for ϵ=0.29.

Figure 6. Sketches of the EquationEq. (37)(37) p2(x,t)=6 exp (iΓ(β+1)(ϵtϵ((σ1−σ2)2(a1+ζa2)4(a1−a2)2+(σ2−σ1)(ζσ2−σ1)2(a1−a2)+f2−ζf1)Γ(β+1)(ρtϵ−xϵ)+ϵ+(σ1−σ2)xϵ2(a1−a2)+φ)ϵ)Γ2×(−δ0−iδ0 tanh(−δ0Γ(β+1)(xϵ−ρtϵ)ϵ)−δ0).(37) for ϵ=0.29.

Figure 7. Sketches of the EquationEq. (40) for ϵ=0.331.

Figure 7. Sketches of the EquationEq. (40)(40) p5(x,t)=6 exp (iΓ(β+1)(ϵtϵ((σ1−σ2)2(a1+ζa2)4(a1−a2)2+(σ2−σ1)(ζσ2−σ1)2(a1−a2)+f2−ζf1)Γ(β+1)(ρtϵ−xϵ)+ϵ+(σ1−σ2)xϵ2(a1−a2)+φ)ϵ)Γ2×(−1+iδ0(4sinh(2−δ0Γ(β+1)(xϵ−ρtϵ)ϵ)+3)−δ0(4cosh(2−δ0Γ(β+1)(xϵ−ρtϵ)ϵ)−5))δ0.(40) for ϵ=0.331.

Figure 8. Sketches of the EquationEq. (41) for ϵ=.41.

Figure 8. Sketches of the EquationEq. (41)(41) p6(x,t)=6 exp (iΓ(β+1)(ϵtϵ((σ1−σ2)2(a1+ζa2)4(a1−a2)2+(σ2−σ1)(ζσ2−σ1)2(a1−a2)+f2−ζf1)Γ(β+1)(ρtϵ−xϵ)+ϵ+(σ1−σ2)xϵ2(a1−a2)+φ)ϵ)Γ2 ×(−1+iδ0(csinh(2−δ0Γ(β+1)(xϵ−ρtϵ)ϵ)+d)4c−δ0cosh(2−δ0Γ(β+1)(xϵ−ρtϵ)ϵ)−λδ0(−(c2+d2)))δ0.(41) for ϵ=.41.

Figure 9. Sketches of the EquationEq. (44) for ϵ=.22.

Figure 9. Sketches of the EquationEq. (44)(44) p9(x,t)=12exp (iΓ(β+1)((σ1−σ2)xϵ2(a1−a2)+ωtϵ+φ)ϵ) ×(2+2((1−δ0) tan (2δ0Γ(β+1)(xϵ−ρtϵ)ϵ)+(δ0+1) sec (2δ0Γ(β+1)(xϵ−ρtϵ)ϵ))δ0)ϕ0.(44) for ϵ=.22.

6. Conclusions

In this article, the M-truncated coupled NLSE with the QC form has been taken as the studied model in the mageto-optic waveguides. The different shapes of the solution like, bright, dark, singular and combo solitons, as well as hyperbolic, exponential and periodic solutions successfully extracted with the use of improved sardar subequation method and enhanced modified extended tanh-expansion method. In the electromagnetic field, it is essential to incorporate magneto-optic effect in optical waveguides. As a result, solitons go from being attracted to one another to being isolated. Thus, it is feasible to diminish the amount of information that flows from pulse to pulse. The optical solitons play vital role as information carrier in telecommunication systems, optical industry. In modern days, websites, internet industry, twitter, face book and google are working with the help of optical solitons. The applied approach is highly effective mathematical techniques that are employed to interpret non-linear models in the fields of physics and applied mathematics. The utilization of soliton solutions and the exploration of their inherent physical characteristics contribute significantly to the advancement of non-linear dynamics. The method offers vital insights into complicated processes and facilitate their application in various fields, including communication engineering and physics. The physical movements of the observed solutions are demonstrated by generating 3D, 2D, contour and polar plots by assigning the different values of the parameters. It is our hope that the methodology and outcomes will contribute to the comprehension of physical behavior dynamics and aid researchers to understand the nonlinear issues.

Competing interest

No conflict of interest.

Acknowledgement

This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).

Data availability statement

Not applicable.

Disclosure statement

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

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