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. 2022 Mar 24;8(3):e09199. doi: 10.1016/j.heliyon.2022.e09199

Dynamical plane wave solutions for the Heisenberg model of ferromagnetic spin chains with beta derivative evolution and obliqueness

MF Uddin a, MG Hafez a,, SA Iqbal a,b
PMCID: PMC9280585  PMID: 35846458

Abstract

The oblique plane waves with their dynamical behaviors for a (2+1)-dimensional nonlinear Schrödinger equation (NLSE) having beta derivative spatial-temporal evolution are investigated. In order to study such phenomena, NLSE is converted to a nonlinear ordinary differential equation with a planar dynamical system by considering the variable wave transform with obliqueness and the properties of the beta derivative. Some more new general forms of analytical solutions, like bright, dark, singular, and pure periodic solutions of NLSE are constructed by employing the auxiliary ordinary differential equation method and the extended simplest equation method. The effect of obliqueness and beta derivative parameter on several types of wave structures along with the phase portrait diagrams are reported by considering some special values of parameters for the existence of attained solutions. It is found that the planar dynamical system is not supported by any type of orbit for Θ=450. It is also confirmed from the obtained solutions that no plane waves are generated for Θ=450. The presented studies on bifurcation analysis and analytical solutions for (2+1)-dimensional NLSE would be very useful to understand the physical scenarios of nonlinear spin dynamics in magnetic materials for Heisenberg models of ferromagnetic spin chains.

Keywords: Bifurcation analysis, Oblique plane wave phenomena, Beta fractional spatial-temporal NLSE, AODEM, ESEM


Bifurcation analysis; Oblique plane wave phenomena; Beta fractional spatial-temporal NLSE; AODEM; ESEM

1. Introduction

The nonlinear dynamics of the Heisenberg models of ferromagnetic spin chains with magnetic interactions having classical and semi-classical limits associated with soliton spin excitations in condensed matter physics have been reported by many researchers [1], [2], [3], [4], [5], [6], [7]. Such phenomena have been studied by deriving a mathematical physics equation from the aforementioned model, namely, nonlinear Schrödinger equation (NLSE). Because mathematical physics equations [8], [9], [10], [11], [12], [13], [14], [15], [16] provide an arena to study the physical issues not only in the aforementioned system but also in other diverse physical systems. The details of the derivation of NLSE from the Heisenberg model are given in Ref. [8]. Besides, the nonlinear spin excitations in magnetic materials have plenteous real-world applications, e.g., microwave communication systems, magnetic and spintronic devices having signal processing along with magnetic field sensors, high-density data storage materials, and so on [4], [5]. In addition, magnetic nano-objects are one kind of magnetic structure that is produced by synthesizing [6], [7]. Such objects contain alternating magnetic ions and radicals with distinct spins of the order of a dozen Bohr magnetons. In such situations, nonlinear effects play an important role in understanding the dynamical features of these objects. Excitingly, nontrivial topological spin-textures exist in the ground state configuration of ferromagnets due to the balance between Heisenberg exchange interactions that may generate two-dimensional chiral modulations. However, researchers have proposed the following governing completely integrable NLSE for describing a (2+1)-dimensional bilinear and anisotropic Heisenberg model of a ferromagnetic spin chain due to the semi-classical limit in Ref. [8]:

iϕtiϕx+ϕxx+ϕyy2ϕxy+2|ϕ|2ϕ=0. (1)

Eq. (1) is a very useful classical model equation to describe the magnetic soliton excitation by considering only the conservative system as well as the system with the presence of locality. It is noted that ϕ(x,y,t) represents the normalized complex amplitude of the wave profile. Many research scholars [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33] have devoted significant effort to revealing various types of traveling wave solutions for mathematical physics equations like Eq. (1) by considering many environments via several types of theoretical and computational architectures. But classical models are not actually useful for divulging the effect of memory [34] due to their time-consuming nature, which is mainly manifest in non-local and non-conservative physical systems. In most real-world problems, it is sometimes not possible to describe the features of physical issues by only the integer-order NLEEs. Because the complexity may arise in a certain regime of either space or time for the impact of non-locality as well as non-conservative energies of materials. From a physical point of view, this will happen only when the scale approaches a very small one. In such situations, only the fractional order NLEEs and their analytical solutions are applicable. To overcome such difficulties, researchers have concentrated their efforts on fractional derivatives (FDs), such as conformable, Caputo, Riemann-Liouville derivatives, etc., in lieu of classical derivatives. Such FDs have been introduced in many mathematical physics equations [20], [31], [32], [34], [35], [36], [37], [38], [39] to understand the complex physical issues in the physical system. Very recently, the newly included FD, so called the Beta derivative (BD), has been proposed by Atangana et al. [37], which fulfills all the fundamental features of calculus and overcomes some limitations of the aforementioned FDs. BD can not only be considered as FD but also be considered as a natural extension of the classical derivative [38]. Further, the most expedient way is to study the plane waves by including direction cosines to the uniform plane waves because they do not generally occur with incidence. One can mainly study the magnetic solitonic excitations by considering only the (2+1)-dimensional mathematical physics equations. That is, the wave propagation might be studied by considering it parallel and perpendicular to the magnetic field. Due to the importance of fractional effects and obliqueness, Uddin et al. [20] have already determined the periodic and rouge wave solutions by considering the following (2+1)–dimensional NLSE along with beta derivative evolution (BDE) via the generalized exponential expansion method and the modified Kudryashov method:

i(Dtβ0Aϕ)i(Dxβ0Aϕ)+[(Dxx2β0A)+(Dyy2β0A)]ϕ2(Dxx2β0Aϕ)+2|ϕ|2ϕ=0. (2)

They have only focused on the periodic and rogue structures with the influence of BDE and obliqueness without considering the dynamical analysis of planar dynamical systems (PDS). They have also not mentioned whether or not the plane wave exists depending on the obliqueness. But there are numerous possibilities for determining a more general form of oblique plane wave solutions (OPWSs) of Eq. (2) in order to comprehend the nature of other types of coherent structures in the aforementioned system. Because researchers have reported only several types of solutions without considering obliqueness and BDE in the previous literature [17], [18], [19], [21], [22], [23], [24]. Further, Uddin et al. [20] have also highlighted only periodic singular and rogue wave structures by considering the aforementioned equation. The bifurcation features have also not been demonstrated for Eq. (2) in the previous studies to the best of our knowledge. However, one can determine some more new general forms of OPWSs, like bright, dark, pure periodic, and singular solutions to Eq. (2) with the involvement of BDE and obliqueness. Further research into the dynamical behaviors of nonlinear spin dynamics for Heisenberg ferromagnetism with magnetic interactions described by (2+1)-dimensional NLSE with BDE under the influence of obliqueness and fractional parameter is therefore required. Also, one needs to determine some more new and general forms of OPWSs of Eq. (2) via suitable solution methods based on the stability conditions.

Thus, this work explores the bifurcation analysis of plane waves by forming PDS from the considered equation. In addition, some more new analytical forms of OPWSs are determined by employing two useful techniques, namely, the auxiliary ordinary differential equation method (AODEM) [32], [39] and the extended simplest equation method (ESEM) [33]. The effect of BD parameter and obliqueness on several types of wave structures, along with the phase portrait diagrams are examined. The detailed study of this paper is organized as follows: In Sec. 2, the corresponding nonlinear ordinary differential equation (ODE) with PDS of the considered NLSE having BDE is derived. In Sec. 3 and Sec. 4, we recapitulate AODEM and ESEM, respectively, in a concise way and they are implemented to explore the OPWSs of the considered NLSE with physical interpretation. Finally, in Sec. 5, the conclusion is drawn.

1.1. Notations

The nomenclature and abbreviations used throughout this study are provided in Table 1.

Table 1.

Nomenclature/Abbreviations.

Nomenclature/Abbreviations Explanation
NLSE Nonlinear Schrödinger Equation
FDs Fractional Derivatives
BD Beta–Derivative
AODEM Auxiliary Ordinary Differential Equation Method
ESEM Extended Simplest Equation Method
ODE Ordinary Differential Equation
PDS Planar Dynamical System
BDE Beta–Derivative Evolution
OPWSs Oblique Plane Wave Solutions

2. PDS for NLSE having BDE and bifurcation analysis

This section begins with the traveling wave variable transformation to convert Eq. (2) into its equivalent ODE:

ϕ(x,y,t)=U(ζ)eiΛ(x,y,t), (3)

where

ζ=cosΘβ(x+1Γβ)β+sinΘβ(y+1Γβ)β+αβ(t+1Γβ)β

and

Λ=[cosΘβ(x+1Γβ)β+sinΘβ(y+1Γβ)β]+vβ(t+1Γβ)β

Here, U(ζ) represents the shape of the pulse, Λ(x,y,t) is the phase component, α and v are the speed and number of waves, respectively. Also, one needs to define BD along with some basic properties for converting ODE. To do so, the BD is defined [37], [38] as

Dζβ0A(ζ)=limϵ0(ζ+ϵ(ζ+1Γ(β))1β)(ζ)ϵ (4)

The BD properties are also given as follows:

(i).Dζβ0A{λ11(ζ)+λ22(ζ)}=λ1Dζβ0A{1(ζ)}+λ2Dζβ0A{2(ζ)};λ1,λ2(ii).Dζβ0A{λ}=0;λ(iii).Dζβ0A{1(ζ)2(ζ)}=1(ζ)Dζβ0A{2(ζ)}+2(ζ)Dζβ0A{1(ζ)}(iv).Dζβ0A{1(ζ)/2(ζ)}=2(ζ)Dζβ0A{1(ζ)}1(ζ)Dζβ0A{2(ζ)}22(ζ).

Here 2(ζ)0 and 1(ζ) are β -differentiable functions with β(0,1]. By inserting ϵ=(ζ+1Γ(β))β1τ, when ϵ0, τ0 in Eq. (4), another important property of BD is defined as

Dζβ0A(ζ)=(ζ+1Γ(β))1βd(ζ)dζ. (5)

Eq. (2) is then converted to an ODE by using Eq. (3) along with the BD property as in Eq. (5).

(cosΘsinΘ)2U(ζ)[(cosΘsinΘ)2+cosΘ+v]U(ζ)+2U3(ζ)=0, (6)

where α=2sin2ΘcosΘ2.

Now, Eq. (6) is converted to the next one-dimensional ODE system for investigating the dynamical nature of the model Eq. (2) as

dU(ζ)dζ=χ(ζ)dχ(ζ)dζ=S(cosΘsinΘ)2U(ζ)2(cosΘsinΘ)2U3(ζ), (7)

where S=(cosΘsinΘ)2+cosΘ+v.

The Jacobi matrix for the ODE system as in Eq. (7) is given as

J(UE,χE)=(01S(cosΘsinΘ)26(cosΘsinΘ)2U2(ζ)0). (8)

For the state points, that is, (UE,χE)=(0,0),(±S/2,0), the obtained eigenvalues of the system as in Eq. (7) are presented in Table 2 and Table 3, respectively, based on the Jacobi matrix as in Eq. (8) and the parametric values v=±1 and Θ=300:

Table 2.

Phase State Classify for v = 1, & Θ = 300.

Eigenvalues and State Point Classifications
State points (0,0) (−1,0) (1,0)
Eigenvalues ±3.86 ±5.46i ±5.46i
Classifications Unstable & Saddle Stable & Center Stable & Center

Table 3.

Phase State Classify for v = −1, & Θ = 300.

Eigenvalues and State Point Classifications
State points (0,0) (−1.41 × 10−5,0) (1.41 × 10−5,0)
Eigenvalues ±5.46 × 10−5 ±7.73 × 10−5i ±5.46i
Classifications Unstable & Saddle Stable & Center Stable & Center

When v=1 & Θ=300, three state points with their corresponding eigenvalues for Eq. (7) are given as in Table 2. It is clear from Table 2 that the origin indicates an unstable saddle-node, whereas the other two state points represent two stable homoclinic orbits, which are connected from the left-hand side to the right-hand side. The phase portraits and time scale diagrams for Eq. (7) based on the above values are depicted in Fig. 1 and Fig. 2, respectively. It is clearly observed from Fig. 1 that the saddle-node bifurcations are described by a family of periodic kinks and anti-kink shattering wave solutions for Eq. (2). Besides, the phase portrait diagram and time scale interpretation for Eq. (7) are displayed in Fig. 3 and Fig. 4, respectively, based on the values v=1 and Θ=300. It is clearly observed from Table 3 and Fig. 3 that the equilibrium point is unstable and saddle at the origin. In contrast, the other state points are stable and center. Fig. 3 also indicates that the model Eq. (2) has a solitary and breaking wave solution corresponding to a pair of homoclinic orbits at the state points (0,0),(±1.41×105,0). But a remarkable output of this work is that when v<0 is chosen, all three equilibrium points tend to the center. For example, at v=1, the system has three equilibrium points, which are almost identical to the origin. The phase portrait looks like the same pattern as in Fig. 1 compared to Fig. 3 on a small-scale simulation. But if one simulates the phase state on a large scale for the same specified values, then the simulation for soliton orbits will move and center at the stable node (0,0). If v is chosen to be less than −1, then the system has only one real equilibrium point (0,0), and the other two nodes will be imaginary. To illustrate it, Fig. 5 displays the phase diagram of Eq. (7) by considering v=2, which clearly indicates that the real state point is (0,0) and the other phase state might be moving around the origin. In such a situation, Eq. (2) represents only the oscillatory wave solution, except for soliton or shock wave solutions. Based on Figure 2, Figure 4, the soliton orbits are predicted. They are not converging, but trajectories are moving around the center nodes. It is noted that the system is valid for 00Θ900 and v's real values, except Θ=450. If we chose Θ=450, the model fails to express any dynamical behaviors. Furthermore, no traveling waves are formed because no type of orbit exists for the assumed parametric value of Θ=450.

Figure 1.

Figure 1

Phase portrait diagram of Eq. (7) for v = 1 and Θ = 300.

Figure 2.

Figure 2

Diagrams of time scale for (a) U, U′, χ′ (b) U′ with regards to ζ and (c) χ′ with regards to ζ of Eq. (7) with v = 1 and Θ = 300.

Figure 3.

Figure 3

Phase portrait diagram of Eq. (7) for v = −1 and Θ = 300.

Figure 4.

Figure 4

Diagrams of time scale for (a) U, U′, χ′ (b) U′ with regards to ζ and (c) χ′ with regards to ζ of Eq. (7) with v = −1 and Θ = 300.

Figure 5.

Figure 5

Phase portrait diagram of Eq. (7) for v = −2 and Θ = 300.

3. OPWSs via AODEM with parametric investigations

According to the homogeneous balance principle and AODEM (see details in Ref. [39]), the oblique solutions of Eq. (6) can be expressed as a polynomial in H(ζ):

U(ζ)=N=01λNHN(ζ), (9)

where, λN(N=0,1) are constants with λ10. The function H(ζ) is the exact solution of the following auxiliary ODE:

H(ζ)=pH2(ζ)+qH4(ζ)+rH6(ζ). (10)

It is mentioned here that Eq. (10) offers a variety of solutions by applying to the actual parametric values p, q and r as set out in Ref. [39]. With the help of Eq. (9) and Eq. (10), a polynomial in H(ζ) from Eq. (6) is obtained. By setting the coefficients of this polynomial equal to zero, a set of algebraic equations for λ0,λ1,p,q,r and v are formulated, which are ignored for convenience. By simplifying the resulting equations, one obtains

λ0=0,λ1=±q(sin2Θ1),v=(1p)(sin2Θ1)cosΘ,p=p,q=q,r=0.

Based on the values of the above constants together with the solutions of Eq. (10) and with the assistance of Eqs. (3) and (9), the following exact OPWSs for the considered NLSE including BDE are determined:

Case-I: When p>0,

ϕ1(x,y,t)=±exp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×p(1sin2Θ)cosh{p[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]}, (11)
ϕ2(x,y,t)=±exp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×p(sin2Θ1)sinh{p[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]}, (12)
ϕ3(x,y,t)=±exp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×2p(sin2Θ1)cosh{2p[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]}1, (13)
ϕ4(x,y,t)=±exp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×2p(sin2Θ1)isinh{2p[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]}1, (14)
ϕ5(x,y,t)=±exp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×pq(sin2Θ1)exp(2p[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])exp(2p[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])4q, (15)

Case-II: When p<0,

ϕ6(x,y,t)=±exp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×2p(sin2Θ1)cos{2p[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]}1, (16)
ϕ7(x,y,t)=±exp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×2p(sin2Θ1)sin{2p[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]}1, (17)

where, α=2sin2ΘcosΘ2, v=(1p)(sin2Θ1)cosΘ. It is noted that the OPWSs as in Eqs. (11), (12), (13), (14), (15), (16) and (17) are obtained by considering ε=1 from the solutions of Eq. (10) (see Ref. [39]). Another solution set for ε=1 from the solutions of Eq. (10) can be easily secured, which is ignored for simplicity. Based on the attained solutions of NLSE having BDE, some of the outcomes are displayed graphically (see Figure 6, Figure 7, Figure 8) to demonstrate the effectiveness of β and Θ. The parametric values are assumed within the ranges of 0<β1 and 0<Θ<π/2 and are based on the conditions of the considered method. These figures explore how the beta fractional parameter and obliqueness are remarkably changed in the plane wave phenomena. Figs. 6a and 6b demonstrate that the amplitudes and widths of traveling waves decrease with the increasing value of Θ. It is provided that the plane waves lose their energy with the increase in obliqueness. Besides, Figs. 7a and 7b show that the amplitudes are almost the same but the widths of the waves are decreased due to the increase of the β parameter, and pulse-like hump-shaped rightward wave structures are found with the increase of time. In addition, Figs. 8a and 8b exhibit the singular soliton and periodic traveling wave type shapes of the modulus of ϕ by considering the parametric values based on the stability condition. It is also found that the AODEM provided some more new general forms of OPWSs for NLSE having BDE that were not determined in the previous literature [20].

Figure 6.

Figure 6

3D and 2D shapes of the wave profile of modulus (ϕ) analogous to Eq. (13) for (a) several values of obliqueness Θ = 100 (red) and Θ = 200 (magenta), (b) effect of Θ for β = 0.9 along the x-axis, keeping y constant. All the other remaining parameters are considered as p = 1,q = 1,r = 0 and t = 1.

Figure 7.

Figure 7

2D shape of wave profile of modulus (ϕ) analogous to Eq. (13) for (a) several values of β with Θ = 250 and (b) several values of t with Θ = 300, β = 0.9 along the x-axis, keeping y constant. All the other remaining parameters are considered as in Fig. 6.

Figure 8.

Figure 8

3D shape of wave profile of modulus of ϕ as revealed in (a) Eq. (15) for p = 1, q = −1 and (b) Eq. (17) for p = −1, q = 1 with β = 0.95, Θ = 600 respectively. Other parameters are considered as r = 0, t = 1.

4. OPWSs via ESEM with parametric investigations

Starting this section with a brief description of ESEM to extract analytic solutions of the considered NLSE. Let us consider the projective Riccati equation [33] as follows:

ψ(ζ)=ψ(ζ)χ(ζ),χ(ζ)=χ2(ζ)+σψ(ζ)μ, (18)

where, σ and μ are constants. Assume the solutions of Eq. (18) as

ψ(ζ)=1H(ζ),χ(ζ)=H(ζ)H(ζ). (19)

Using Eq. (19), the function H(ζ) satisfies the following equivalent converted second-order linear ODE for Eq. (18):

H(ζ)+μH(ζ)=σ. (20)

Now, one can easily obtain three types of general solutions to Eq. (20) as follows:

Case-I: For μ<0,

H(ζ)=C1cosh(μζ)+C2sinh(μζ)+σμ, (21)

so that

(H(ζ)H(ζ))2=ϖ1(1H(ζ))2μ+2σH(ζ);where,ϖ1=μ(C12C22)σ2μ. (22)

Case-II: For μ>0,

H(ζ)=C1cos(μζ)+C2sin(μζ)+σμ, (23)

so that

(H(ζ)H(ζ))2=ϖ2(1H(ζ))2μ+2σH(ζ);where,ϖ2=μ(C12+C22)σ2μ, (24)

Case-III: For μ=0,

H(ζ)=σ2ζ2+C1ζ+C2, (25)

so that

(H(ζ)H(ζ))2=ϖ3(1H(ζ))2+2σH(ζ);where,ϖ3=C122σC2. (26)

In all the above cases, C1 and C2 are considered arbitrary constants. Now, according to the ESEM, the OPWSs of Eq. (6) can be expressed as a finite power series in the form:

U(ζ)=r=0Nλr(H(ζ)H(ζ))r+s=0N1γs(H(ζ)H(ζ))s(1H(ζ)), (27)

where N=1 is determined from Eq. (6) by using the homogeneous balancing principal and λr(r=0,1), and γs(s=0) are constants to be determined later with λN2+γN120. The function H(ζ) is the exact solution of the second-order linear ODE Eq. (20). Now, by substituting Eq. (27) together with the second-order linear ODE (20) and the relationships as in Eqs. (22), (24) and (26) in Eq. (6), one can derive three new polynomials, respectively, in different powers of 1(H(ζ))m, and H(ζ)(H(ζ))n (m=0,1,2,3;n=1,2,3). Setting each coefficient of these polynomials to zero, one can attain a set of algebraic equations for λ0,λ1,γ0,σ,μ and v, which are ignored for simplicity. After simplifying the resulting equations through the computational package Maple, one obtains the following three types of results:

Result-1 (For Case-I): When μ<0,

λ0=0λ1=±122sinΘcosΘ1γ0=±12(2sinΘcosΘ1)ϖ1v=12(2μ)(2sinΘcosΘ1)cosΘ

Based on these constants together with Eq. (21), the OPWS of the considered Eq. (2) is achieved by combining Eqs. (3) and (27) as

ϕ8(x,y,t)=±μΔexp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×{ϖ1μ+C1sinh(μ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])+C2cosh(μ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])}2{σμ+C1cosh(μ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])+C2sinh(μ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])}, (28)

where, Δ=2sinΘcosΘ1.

Result-2 (For Case-II): When μ>0,

λ0=0λ1=±122sinΘcosΘ1γ0=±12(2sinΘcosΘ1)ϖ2v=12(2μ)(2sinΘcosΘ1)cosΘ

Through the Eqs. (3), (23) and (27), the exact OPWS of Eq. (2) is achieved as

ϕ9(x,y,t)=±μΔexp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×{ϖ2μC1sin(μ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])+C2cos(μ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])}2{σμ+C1cos(μ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])+C2sin(μ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β])}, (29)

where, Δ=2sinΘcosΘ1.

Result-3 (For Case-III): When μ=0,

λ0=0λ1=±122sinΘcosΘ1γ0=±12(2sinΘcosΘ1)ϖ3v=2sinΘcosΘcosΘ1

With the assistance of Eqs. (3), (25) and (27), the OPWS of Eq. (2) is achieved as

ϕ10(x,y,t)=±Δexp(i[{cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β}+vβ(t+1Γ(β))β])×{σ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]+C1+ϖ3}{σ[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]2+2[cosΘβ(x+1Γ(β))β+sinΘβ(y+1Γ(β))β+αβ(t+1Γ(β))β]C1+2C2}, (30)

where, Δ=2sinΘcosΘ1. It is mentioned here that one can also classify different types of wave structures from the obtained analytical solutions as in Eqs. (28), (29), and (30) based on the values of considered parameters and arbitrary constants used in the ESEM. Based on Result-1, one can obtain bright (dark) solitary wave structures by setting C10, C2=0, σ>0(σ<0) and ϖ1<0, whereas the singular wave structures are constructed by setting C1=0, C20, any value of σ and ϖ1>0. It is also investigated that periodic wave solutions are obtained when ϖ2<0, and either C10, C2=0 or C20, C1=0. There exists a periodic singularity only for the settings of ϖ2>0 with any arbitrary choices of C1, and C2 from Result-2. It is observed that the OPWSs as in Eqs. (28) and (29) obtained by ESEM are equivalent to the solutions as in Eqs. (14) and (16) in Ref. [20] obtained by the generalized exponential expansion method if C2=0. Otherwise, the ESEM provides some more general forms of OPWSs for the considered NLSE. Additionally, a few results are presented graphically (see Figure 9, Figure 10, Figure 11, Figure 12, Figure 13) to illustrate the effectiveness of this extended method with the non-local derivative operator and obliqueness, along with the relevant physical discussions.

Figure 9.

Figure 9

3D shape of wave profile of |ϕ| as displayed in Eq. (28) for different values of non-local operator parameter (a) β = 0.5 (blue color surface) and β = 0.7 (red color surface) with σ = 0.2 and (b) β = 0.5 (blue-magenta color surface) and β = 0.7 (red color surface) with σ = −0.2. The other parameters are considered as C1 = 2, C2 = 0, μ = −1, Θ = 500, and t = 10.

Figure 10.

Figure 10

2D shape of wave profile of |ϕ| as displayed in Eq. (28) for several values of (a) non-local operator β for Θ = 600 and (b) Θ = 150 with t = 10, (c) obliqueness Θ for β = 0.95, t = 25 and (d) t for β = 0.7, Θ = 300 respectively. The remaining parameters are considered as in Fig. 9.

Figure 11.

Figure 11

3D shape of wave profile of |ϕ| as revealed in Eq. (29) for the case of (a) non-local value of β = 0.6 and (b) local value of β = 1. The other remaining parameters are considered as C1 = −1, C2 = 1, μ = 1, σ = −2, Θ = 600, and t = 0.5.

Figure 12.

Figure 12

2D shape of wave profile of |ϕ| as displayed in Eq. (29) for illustrating the effect of (a) non-local operator parameter β for Θ = 600, (b) obliqueness Θ for β = 0.7 with t = 10, and (c) time t for β = 0.7 with Θ = 300 respectively. The remaining parameters are considered as in Fig. 11.

Figure 13.

Figure 13

Contour plot of |ϕ| as revealed in Eq. (29) for the (a) non-local value of β = 0.5 and (b) local value of β = 1. The remaining parameters are considered as in Fig. 11 except t = 10.

Figs. 9a and 9b visualize the 3D shapes of the bright and dark solitary wave profiles of |ϕ|, respectively, for different non-local values of the BD operator β, whereas the impact for local and non-local values of parameter (β), obliqueness (Θ), and time (t) are illustrated in Figs. 10a - 10d, respectively, based on the solution as in Eq. (28). It is investigated from Figs. 10a and 10b that the beta parameter does not change the size of amplitude but compresses the hump-shaped solitons due to increasing values of β with Θ=600 and Θ=150 respectively. Moreover, the largest amplitude is produced and the solitons propagate from right to left for small values of Θ, while the compressed solitons do not change their position for large Θ. It is also observed that the amplitudes of the pulse-like solitons are decreasing due to an increase in obliqueness, whereas keeping the amplitudes unchanged, only the pulse-widths are increasing over time, which is shown in Figs. 10c and 10d, respectively. Figs. 11a-11b and 12a-12c represent 3D and 2D periodic wave structures along with the effectiveness of parameters β, Θ, and t corresponding to Eq. (29) by considering different constant values of the other parameters. It is observed that the wavelength (frequency) is sufficiently decreased (high) due to increased values of the non-local parameter β. With the increasing values of obliqueness, the amplitudes and wavelengths of the periodic wave structures are decreasing. Additionally, the contour plots are displayed in Figs. 13a and 13b for better visualization of the space-time variation of the wave structures for different values of the β parameter. It is predicted from the above investigations that the non-local derivative operator (β) and obliqueness (Θ) strongly modify the wave structures by using this method for the considered NLSE.

5. Concluding remarks

A (2+1)-dimensional NLSE having BDE has been considered for reporting the dynamical behaviors and new nonlinear coherent structures arising in many environments, especially in condensed matter physics, optical theories, optical bullets etc., where local/non-local and conservative/non-conservative physical systems are involved. Numerous types of new general forms of OPWSs for such equations have been determined by employing two useful distinct integration schemes, namely, AODEM and ESEM. It is found that the obtained solutions are only dependent on the additional free parameters like p, q, μ and the physical parameters β and Θ. As a result, one can determine various types of useful solutions to understand the nature of wave structures from the proposed solutions based only on the constraint conditions for the additional free parameters. Such conditions have been included in the solutions obtained. In the presented analysis, some of the obtained solutions have been displayed graphically by considering the constraint conditions for the additional parameters. Additionally, the NLSE has been converted to PDS for examining the behavior of bifurcation properties on the basis of the parameters involved. It is observed that the beta fractional parameter (β) and the obliqueness (Θ) significantly change the nature of not only magnetic soliton but also periodic wave propagation, whereas only obliqueness strongly controls the dynamical behavior of plane wave phenomena. It is also being investigated that any types of orbits from PDS are not generated when Θ=450. As a result, no OPWSs are produced as expected based on dynamical analysis. Based on the stability condition, some new structures are demonstrated graphically. Thus, the outcomes presented in this work would be very useful to understand the dynamical features of their wave propagation not only in related fields, especially in microwave communication systems, magnetic and spintronic devices, high-density data storage materials, nano-objects, etc., but also in further laboratory verification.

Declarations

Author contribution statement

M.F. Uddin, M.G. Hafez, S.A. Iqbal: Conceived and designed the analysis; Analyzed and interpreted the data; Contributed analysis tools or data; Wrote the paper.

Funding statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Data availability statement

No data was used for the research described in the article.

Declaration of interests statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.

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