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Novel solitary wave solutions of the (3+1)–dimensional nonlinear Schrödinger equation with generalized Kudryashov self–phase modulation

  • This paper investigates the (3+1)-dimensional nonlinear Schrö dinger equation, incorporating cross-spatial dispersion and a generalized form of Kudryashov's self-phase modulation. Using the generalized Jacobi elliptic method, we systematically derive novel soliton solutions expressed in terms of Jacobi elliptic and Weierstrass elliptic functions, providing deeper insights into wave dynamics in nonlinear optical media. The obtained solutions exhibit diverse structural transformations governed by the parameter (n) known as full nonlinearity, encompassing optical bullet solutions, optical domain wall solutions, singular solitons, and periodic solutions. Furthermore, we discuss the potential experimental realization of these solitonic structures in ultrafast fiber lasers and nonlinear optical systems, drawing connections to recent experimental findings. To facilitate a comprehensive understanding of their physical properties, we present detailed three-dimensional (3D), two-dimensional (2D), and contour visualizations, highlighting the interplay among dispersion, nonlinearity, and self-modulation effects. These results offer new perspectives on soliton interactions and have significant implications for optical communication, signal processing, and nonlinear wave phenomena.

    Citation: Nafissa Toureche Trouba, Mohamed E. M. Alngar, Reham M. A. Shohib, Haitham A. Mahmoud, Yakup Yildirim, Huiying Xu, Xinzhong Zhu. Novel solitary wave solutions of the (3+1)–dimensional nonlinear Schrödinger equation with generalized Kudryashov self–phase modulation[J]. AIMS Mathematics, 2025, 10(2): 4374-4411. doi: 10.3934/math.2025202

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  • This paper investigates the (3+1)-dimensional nonlinear Schrö dinger equation, incorporating cross-spatial dispersion and a generalized form of Kudryashov's self-phase modulation. Using the generalized Jacobi elliptic method, we systematically derive novel soliton solutions expressed in terms of Jacobi elliptic and Weierstrass elliptic functions, providing deeper insights into wave dynamics in nonlinear optical media. The obtained solutions exhibit diverse structural transformations governed by the parameter (n) known as full nonlinearity, encompassing optical bullet solutions, optical domain wall solutions, singular solitons, and periodic solutions. Furthermore, we discuss the potential experimental realization of these solitonic structures in ultrafast fiber lasers and nonlinear optical systems, drawing connections to recent experimental findings. To facilitate a comprehensive understanding of their physical properties, we present detailed three-dimensional (3D), two-dimensional (2D), and contour visualizations, highlighting the interplay among dispersion, nonlinearity, and self-modulation effects. These results offer new perspectives on soliton interactions and have significant implications for optical communication, signal processing, and nonlinear wave phenomena.



    Nonlinear optics is a vibrant and dynamic field within optical science that pushes beyond the constraints of linear optical phenomena [1,2]. It delves into the complex interplay between intense light and matter, giving rise to a plethora of intriguing nonlinear effects. These effects present unparalleled opportunities for manipulating and controlling light, with applications spanning various disciplines including telecommunications, imaging, and signal processing. Among the captivating nonlinear phenomena are optical bullets and domain walls [3,4]. These are localized structures characterized by unique properties that have versatile applications. Optical bullets and domain walls are particularly significant due to their potential impact on telecommunications and signal processing technologies. The behavior and stability of optical solitons, dromions, bullets, and domain walls are determined by the delicate balance between chromatic dispersion (CD) and self-phase modulation (SPM) [5,6]. CD refers to the phenomenon where different wavelengths of light travel at different speeds through a medium, while SPM is the change in the phase of an optical wave caused by its interaction with a nonlinear medium. Understanding the interplay between CD and SPM is crucial for controlling the dynamics of optical structures. The concept of SPM, initially introduced by Kudryashov, has emerged as a pivotal aspect of nonlinear optics [7,8,9]. It provides a powerful mechanism for altering the dynamics of an optical system by modulating the phase of the medium in response to intense optical fields. Building upon prior research [10,11,12,13], recent studies have focused on exploring cross-spatial dispersive effects to uncover new behaviors of optical soliton solutions. By formulating a novel Schrödinger equation in three dimensions, researchers have expanded the theoretical framework of nonlinear optics, opening up new avenues for investigation and application [14,15,16,17,18,19]. In this expanded framework, CD extends along three spatial directions, leading to pairwise cross-spatial dispersion effects and a total of six dispersive effects [20,21,22]. Additionally, Kudryashov's innovative form of SPM introduces eight coupled SPM effects alongside the dispersion effects in the Schrödinger equation [23,24]. The primary goal of recent research endeavors is to utilize the generalized Jacobi elliptic method [25,26] to derive solutions for various optical structures in (3+1) dimensions. These structures include Jacobi elliptic functions, optical bullets, domain walls, singular solitons, Weierstrass elliptic functions, and periodic structures. By employing advanced mathematical techniques, researchers aim to deepen our understanding of light propagation in complex media and uncover new insights into the behavior of optical structures. The contributions of these studies extend beyond theoretical advancements. They include the extension of the Schrödinger equation to (3+1) dimensions, the development of a comprehensive dispersion model, the introduction of a novel SPM effect, and the exploration of the coupling between dispersion and SPM effects. The insights provided by these investigations not only enrich our foundational understanding of nonlinear optical systems but also hold significant promise for practical applications in ultrafast all-optical signal processing. By harnessing the unique properties of optical bullets, researchers aim to advance high-speed data transmission and storage technologies, paving the way for innovative developments in telecommunications and information technology.

    In this study, our focus centers on delving into the intricacies of the extended (3+1)-dimensional nonlinear Schrödinger equation (NLSE), a fundamental mathematical framework that governs the behavior of optical systems in complex media. The NLSE is a cornerstone in nonlinear optics, providing a powerful tool for understanding the propagation of intense light through nonlinear materials. The extension to (3+1) dimensions is a significant advancement that allows for a more comprehensive modeling of optical phenomena. By incorporating an additional spatial dimension, researchers can capture the full complexity of light propagation in three-dimensional (3D) space, along with the temporal dimension. Central to our investigation is the incorporation of cross-spatio-dispersion effects into the NLSE formulation. Spatio-dispersion refers to the spatial variation of dispersion characteristics within a medium. In other words, different regions of space may exhibit varying degrees of dispersion, influencing the behavior of optical waves as they propagate. Moreover, we integrate Kudryashov's proposed form of SPM into the NLSE framework. SPM, a nonlinear optical effect, describes the modulation of the phase of an optical wave as it interacts with a nonlinear medium. Kudryashov's proposed form of SPM introduces additional complexity and richness to the NLSE model, enabling a more accurate representation of real-world optical systems. Our approach builds upon prior works, which have laid the groundwork for extending the NLSE to (3+1) dimensions and incorporating cross spatio-dispersion effects and Kudryashov's form of SPM. These works have demonstrated the feasibility and importance of considering these factors in understanding optical phenomena in multidimensional space. By investigating the extended (3+1)-dimensional NLSE with cross-spatio-dispersion and Kudryashov's SPM, we aim to gain deeper insights into the behavior of optical structures such as optical bullets, domain walls, and solitons. Through mathematical analysis and numerical simulations, we seek to elucidate how these structures evolve and interact in three-dimensional space-time, taking into account the intricate interplay among dispersion, nonlinearity, and spatial variation. Lastly, our study contributes to the advancement of nonlinear optics by refining theoretical models and enhancing our understanding of light–matter interactions in multidimensional media. The insights gained from this investigation may have far-reaching implications for various applications, including optical communication, signal processing, and quantum information processing.

    The model equation is introduced below:

    iQt(a1Qxx+a2Qyy+a3Qzz+2a4Qxy2a5Qxz2a6Qyx)+(b1|Q|n+b2|Q|2n+b3|Q|3n+b4|Q|4n+c1|Q|n+c2|Q|2n+c3|Q|3n+c4|Q|4n)Q=0. (1)

    In the context of the extended (3+1)-dimensional NLSE with cross-spatio-dispersion and Kudryashov's proposed form of SPM, the function Q(x,y,z,t) serves as a crucial component. This function represents complex-valued wave profiles, with t representing the temporal variable and x, y, and z representing the spatial variables. The imaginary unit i is defined as i2=1, allowing for complex-valued representations of wave profiles. Within the NLSE framework, the coefficients aj (where j ranges from 1 to 6), bk, and ck (where k ranges from 1 to 4) are constants that play significant roles in shaping the behavior of the optical system. These coefficients govern various aspects of the optical properties, including CD and SPM. The coefficient a1 specifically represents CD, a phenomenon where different wavelengths of light propagate at different speeds through a medium. This dispersion is influenced by the coefficients a2, a3, a4, a5, and a6, which contribute to cross-spatio-dispersion effects. Cross-spatio-dispersion refers to the spatial variation of dispersion characteristics across different dimensions, adding complexity to the dispersion profile and affecting how optical waves propagate in multidimensional space [20,21,22]. These terms account for interactions between spatial coordinates, reflecting the coupling between different dispersion directions. In particular:

    a2Qyy and a3Qzz represent second-order dispersion along the y- and z-axes, similar to the conventional chromatic dispersion term a1Qxx.

    a4Qxy, a5Qxz, and a6Qyz introduce mixed partial derivatives, which describe how dispersion in one direction influences another. These terms are crucial for modeling complex wave interactions in an isotropic or in homogeneous optical media.

    The numerical coefficients (such as 1 and 2) appearing in front of these terms in Eq (1) originate from the derivation process of the equation from higher-order NLSE formulations. These prefactors ensure the correct scaling of each term, preserving the fundamental balance between dispersion and nonlinearity. Specifically, the factors of 2 in front of some cross-terms arise due to the symmetry properties of second-order mixed derivatives:

    Qxy=Qyx,Qxz=Qzx,Qyz=Qzy.

    This symmetry leads to the standard form of Eq (1), where the cross-dispersion terms appear with appropriate coefficients. Additionally, the coefficients bk and ck contribute to SPM, a nonlinear optical effect where the phase of an optical wave is modulated as it interacts with a nonlinear medium. These coefficients govern the strength and nature of the SPM effect, influencing how the phase of the optical wave evolves over time and space. In Eq (1), the terms involving bk and ck describe the nonlinear response of the medium [7,9]. SPM is a nonlinear optical effect where the phase of an optical wave is modulated due to the intensity-dependent refractive index of the medium. In the context of our model, both the positive and negative powers of Q contribute to this effect for the following reasons.

    1) Nonlinear refractive index modulation:

    ● The positive power terms (e.g., c1|Q|n,c2|Q|2n, etc.) represent the conventional self-focusing effect, where the refractive index increases with the field intensity. This is a well-known feature of materials exhibiting Kerr-type nonlinearity.

    ● The negative power terms (e.g., b1|Q|n,b2|Q|2n, etc.) introduce additional nonlinear effects, which can be interpreted as higher-order nonlinear contributions, typically seen in some specially engineered optical materials where low-intensity regions experience different phase shifts.

    2) Balance between self-focusing and defocusing effects:

    ● The coexistence of both positive and negative power terms implies a competition between self-focusing and defocusing effects, which significantly alters the wave dynamics. The presence of inverse power nonlinearities can lead to novel soliton solutions, including singular solitons and periodic structures.

    ● This interplay enables a more generalized form of SPM, allowing for a richer variety of wave interactions, including those relevant to optical bullets and domain walls.

    3) Generalized Kudryashov SPM model:

    ● The equation incorporates Kudryashov's extended SPM framework, where nonlinearity is not solely dependent on direct power laws but includes inverse nonlinear terms as well.

    ● This generalization allows the model to describe complex nonlinear interactions in optical systems, particularly in non-Kerr media, where deviations from standard cubic nonlinearity arise.

    Lastly, the nonlinearity index n denotes the power law parameter, which characterizes the nonlinearity of the medium. The value of n determines the degree of nonlinearity in the NLSE, impacting the formation and stability of optical structures such as solitons, domain walls, and optical bullets. Therefore, the coefficients aj, bk, and ck in the extended NLSE with cross-spatio-dispersion and Kudryashov's SPM form the foundational elements that govern the behavior of optical waves in multidimensional space. Understanding the roles of these coefficients is essential for analyzing and predicting the dynamics of nonlinear optical phenomena and their applications in various fields such as telecommunications, imaging, and signal processing.

    The study of nonlinear wave dynamics in higher-dimensional systems is crucial for understanding various physical phenomena. In this work, we focus on the (3+1)-dimensional nonlinear Schrödinger equation, which is relevant to soliton propagation in optical fibers and Bose–Einstein condensates. Our research introduces new solutions and explores the effects of modulation and dispersion on soliton behavior.

    We derive novel Jacobi elliptic and Weierstrass elliptic function solutions for the (3+1)-dimensional nonlinear Schrödinger equation, providing new insights into soliton dynamics. Additionally, we present a generalized Kudryashov self-phase modulation (SPM) model that includes both focusing and defocusing effects, offering a more comprehensive description of nonlinear wave behavior. We also examine the role of cross-spatial dispersion terms in shaping soliton structures, contributing to a deeper understanding of soliton interactions in multidimensional optical systems. Finally, we connect our theoretical findings to recent experimental studies on soliton interactions in ultrafast fiber lasers, emphasizing the practical implications of our results. These advancements enhance our understanding of soliton dynamics in multidimensional systems and have potential applications in optical technologies.

    The structure of this paper is carefully designed to provide a systematic exploration of the extended (3+1)-dimensional NLSE with cross-spatio-dispersion and Kudryashov's proposed form of SPM. Each section of the paper contributes distinctively to our understanding of the model and its implications. Section 2 delves into an extensive mathematical analysis of the extended NLSE. It involves deriving the equations governing chromatic dispersion, self-phase modulation, and nonlinearity, as well as exploring the implications of cross-spatio-dispersion on the behavior of optical waves. This analysis provides the theoretical foundation for the subsequent sections. In Section 3, the paper describes the integration method employed to solve the extended NLSE. The generalized Jacobi elliptic method is introduced as a powerful mathematical technique for finding analytical solutions to nonlinear partial differential equations. The section explains the principles of the method and its application to the NLSE. Building upon the theoretical framework established in the previous sections, Section 4 focuses on the practical implementation of the integration method to the model equation derived in Section 2. The goal is to derive novel soliton solutions that capture the behavior of optical structures such as optical bullets and domain walls in multidimensional space. In Section 5, the paper presents the results obtained via the integration method and provides comprehensive plots illustrating the behavior of optical solitons, domain walls, and other structures predicted by the model. The discussion interprets these results, highlighting key findings, comparing them with existing literature, and exploring their implications for nonlinear optics and related fields. Finally, Section 6 concludes by summarizing the main findings and contributions of the study. It discusses the significance of the results in advancing our understanding of nonlinear optical systems and outlines potential avenues for future research. The section emphasizes the importance of the extended NLSE with cross-spatio-dispersion and Kudryashov's SPM in addressing complex optical phenomena and its relevance to practical applications in telecommunications, signal processing, and beyond.

    In order to address this objective, we propose that the exact solution to Eq (1) can be articulated in the following manner:

    Q(x,y,z,t)=Φ(ζ)exp[iϝ(x,y,z,t)], (2)

    where Φ(ζ)=Φ, and ϝ(x,y,z,t) represent real-valued functions, satisfying the condition:

    ζ=β1x+β2y+β3zvt, ϝ(x,y,z,t)=κ1xκ2yκ3z+ωt+ζ0. (3)

    Here, the symbol v denotes the velocity of the soliton, along the x, y, and z axes, while the wave numbers are symbolized by κ1, κ2, and κ3, respectively. Additionally, ζ0 represents the phase constant, and ω signifies the frequency. In the context of an optical bullet, β1, β2, and β3 denote the directional ratios, indicating the widths along the three spatial dimensions. Upon substituting Eqs (2) and (3) into Eq (1) and separating it into its real and imaginary components, we have:

    :(a1β21+a2β22+a3β23+2a4β1β22a5β1β32a6β2β3) Φ+(ω+a1κ21+a2κ22+a3κ23+2a4κ1κ22a5κ1κ32a6κ2κ3) Φ+b1Φ1n+b2Φ12n+b3Φ13n+b4Φ14n+c1Φ1+n+c2Φ1+2n+c3Φ1+3n+c4Φ1+4n=0, (4)

    and

    :[v+2β1(a1κ1+a4κ2a5κ3)+2β2(a2κ2+a4κ1a6κ3)+2β3(a3κ3a5κ1a6κ2)] Φ=0. (5)

    Based on Eq (5), one can infer

    v=2β1(a1κ1+a4κ2a5κ3)+2β2(a2κ2+a4κ1a6κ3)+2β3(a3κ3a5κ1a6κ2). (6)

    To obtain solutions in a closed form, we consider the following transformation:

    Φ(ζ)=[U(ζ)]12n, (7)

    assuming that U(ζ) is positive. By substituting Eq (7) into Eq (4), we obtain:

    2nΠ1 U(ζ)U(ζ)+(12n)Π1 [U(ζ)]2+4n2(Π2ω) U2(ζ)+4n2b1 U32(ζ)+4n2b2 U(ζ)+4n2b3 U12(ζ)+4n2b4+4n2c1 U52(ζ)+4n2c2 U3(ζ)+4n2c3 U72(ζ)+4n2c4 U4(ζ)=0, (8)

    where

    Π1=(a1β21+a2β22+a3β23+2a4β1β22a5β1β32a6β2β3),Π2=a1κ21+a2κ22+a3κ23+2a4κ1κ22a5κ1κ32a6κ2κ3. (9)

    To guarantee integrability, it is crucial to carefully select

    b1=b3=c1=c3=0. (10)

    Hence, Eq (8) becomes

    2nΠ1 U(ζ)U(ζ)+(12n)Π1 [U(ζ)]2+4n2(Π2ω) U2(ζ)+4n2b2 U(ζ)+4n2b4+4n2c2 U3(ζ)+4n2c4 U4(ζ)=0. (11)

    We suggest that Eq (11) has the following formal solution:

    U(ζ)=γ0+Nj=1γj φj(ζ), (12)

    where N is a positive integer belonging to the set of positive integers (Z+), and γj (where j ranges from 0 to N) is a constant, with the condition that γN0. Additionally, φ(ζ) is the solution of the equation:

    φ2(ζ)=χ0+χ2 φ2(ζ)+χ4 φ4(ζ). (13)

    The constants χ0, χ2, and χ4 are parameters. It is widely acknowledged that Eq (13) allows the following solutions to be expressed in terms of generalized Jacobian elliptic functions (GJEFs).

    Type 1.  χ0=m2(m21)χ22(2m21)2χ4, 0<m<1, and

    φ(ζ)={±mχ2(2m21)χ4cn(χ22m21ζ), (2m21)χ2>0,χ4<0,±(1m2)χ2(2m21)χ4nc(χ22m21ζ), (2m21)χ2>0,χ4>0,±m(1m2)χ2(2m21)χ4sd(χ22m21ζ), (2m21)χ2>0,χ4<0,±χ2(2m21)χ4ds(χ22m21ζ), (2m21)χ2>0,χ4>0. (14)

    Type 2.  χ0=m2χ22(1+m2)2χ4,  0<m<1, and

    φ(ζ)={±mχ2(1+m2)χ4sn(χ21+m2ζ),  χ2<0,χ4>0,±χ2(1+m2)χ4ns(χ21+m2ζ),  χ2<0,χ4>0,±mχ2(1+m2)χ4cd(χ21+m2ζ),  χ2<0,χ4>0,±χ2(1+m2)χ4dc(χ21+m2ζ),  χ2<0,χ4>0. (15)

    Type 3.  χ0=(1m2)χ22(2m2)2χ4,  0<m<1, and

    φ(ζ)={±χ2(2m2)χ4dn(χ22m2ζ),  χ2>0,χ4<0,±(1m2)χ2(2m2)χ4nd(χ22m2ζ),  χ2<0,χ4<0,±χ2(2m2)χ4cs(χ22m2ζ),  χ2>0,χ4>0,±(1m2)χ2(2m2)χ4sc(χ22m2ζ),  χ2>0,χ4>0. (16)

    Type 4.  χ0=(1m2)2χ224(1+m2)2χ4, 0<m<1, and

    φ(ζ)={±χ22(1+m2)χ4[mcn(2χ21+m2ζ)±dn(2χ21+m2ζ)],  χ2>0,χ4<0,±(1m2)χ22(1+m2)χ4[msd(2χ21+m2ζ)±nd(2χ21+m2ζ)],  χ2>0,χ4<0,±(1m2)χ22(1+m2)χ4[nc(2χ21+m2ζ)±sc(2χ21+m2ζ)],  χ2>0,χ4>0,±(1m2)χ22(1+m2)χ4cn(2χ21+m2ζ)[1±sn(2χ21+m2ζ)]1,  χ2>0,χ4>0. (17)

    Type 5.  χ0=m4χ224(2m2)2χ4, 0<m<1, and

    φ(ζ)=χ22(2m2)χ4[1m2nc(2χ22m2ζ)±dc(2χ22m2ζ)],  χ2<0,χ4>0. (18)

    Type 6. Equation (13) also possesses the following solutions expressed in terms of Weierstrass elliptic functions (WEFs):

    φ(ζ)={3(ζ,l2,l3)χ4[6(ζ,l2,l3)+χ2],  χ4>0,χ0[6(ζ,l2,l3)+χ2]3(ζ,l2,l3),  χ0>0, (19)

    where

    l2=χ0χ4+χ2212 and l2=χ2(36l0χ4χ22)216. (20)

    Here, (ζ,l2,l3) denotes a WEF, and (ζ,l2,l3)=d(ζ,l2,l3)dζ. This function satisfies the equation 2=43l2l3, where l2 and l3 are referred to as the invariants of the WEF.

    By employing the balance technique between U(ζ)U(ζ) and U4(ζ) as described in Eq (11), we obtain N=1, resulting in the following expression for the solution:

    U(ζ)=γ0+γ1 φ(ζ). (21)

    Incorporating Eq (21) along with Eq (12) into Eq (11), we obtain the following set of algebraic equations:

    4[c4γ40+c2γ30+(Π2ω)γ20+b2γ0+b4]n22Π1γ21nχ0+Π1γ21χ0=0,4[γ21(c2+4c4γ0)n+χ4γ0Π1]nγ1=0,(4c4n2γ21+2Π1nχ4+Π1χ4)γ21=0,8[16c4γ30+12c2γ20+8(Π2ω)γ0+4b2]n2γ1+2nΠ1γ0γ1χ2=0,[4(3c2γ0+Π2ω+6c4γ20)n2+χ2Π1]γ21=0.} (22)

    Result 1. When setting  χ0=m2(m21)χ22(2m21)2χ4 in Eq (22) and solving it with Maple, the following results are revealed:

    γ0=c2(2n+1)4c4(n+1), γ0=±12n(2n+1)Π1χ4c4, χ2=[16(n+1)3b2c24+(4n33n1)c32]n22(n+1)2(n1)(2n+1)Π1c2c4, (23)

    and

    ω=4(n+1)2(n1)(2n+1)Π2c2c4+8(n+1)3b2c24(4n33n1)c324(n+1)2(n1)(2n+1)c2c4,b4=(2n1){(2n+1)2(n1)[32(n+1)3b2c32c24+(2n+1)2(n1)c62]+1024(1m2)(n+1)6b22c44}256(2m21)2(n1)2(n+1)4(2n+1)c22c34,} (24)

    assuming that Π1χ4c4<0. By integrating Eq (23) along with Eq (14) into Eq (21), it follows that Eq (1) presents the following solutions in accordance with the Jacobian elliptic function (JEF):

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±m2(1+n)c416(1+n)3b2c24+(4n33n1)c322(2m21)(n1)c2× cn(n(1+n)16(1+n)3b2c24+(4n33n1)c322(2m21)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (25)

    provided that (2m21)c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4>0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c4(1m2)[16(1+n)3b2c24+(4n33n1)c32]2(2m21)(n1)c2× nc(n(1+n)16(1+n)3b2c24+(4n33n1)c322(2m21)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (26)

    provided that (2m21)c2[16(1+n)3b2c24+(4n33n1)c32]<0 and Π1c4<0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±m2(1+n)c4(1m2)[16(1+n)3b2c24+(4n33n1)c32]2(2m21)(n1)c2× sd(n(1+n)16(1+n)3b2c24+(4n33n1)c322(2m21)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (27)

    provided that (2m21)c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4>0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(2m21)(n1)c2× ds(n(1+n)16(1+n)3b2c24+(4n33n1)c322(2m21)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (28)

    provided that (2m21)c2[16(1+n)3b2c24+(4n33n1)c32]<0 and Π1c4<0. When m=1 in Eqs (25) and (28), it yields the optical bullet solution and the singular soliton solution, respectively

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(n1)c2× sech(n(1+n)16(1+n)3b2c24+(4n33n1)c322(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (29)

    and

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(n1)c2× csch(n(1+n)16(1+n)3b2c24+(4n33n1)c322(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0). (30)

    When m=0 in Eqs (26) and (28), it leads to periodic solutions, which are, respectively:

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(n1)c2× sec(n(1+n)16(1+n)3b2c24+(4n33n1)c322(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (31)

    and

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(n1)c2× csc(n(1+n)16(1+n)3b2c24+(4n33n1)c322(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0). (32)

    Result 2. When setting  χ0=m2χ22(1+m2)2χ4 in Eq (22) and solving it with Maple, the resulting solution remains the same as in Eq (23), along with the emergence of the following constraint conditions:

    ω=4(n+1)2(n1)(2n+1)Π2c2c4+8(n+1)3b2c24(4n33n1)c324(n+1)2(n1)(2n+1)c2c4,b4=(2n1){(m21)2(2n+1)2(n1)[32(n+1)3b2c32c24+(2n+1)2(n1)c62]1024m2(n+1)6b22c44}256(m2+1)2(n1)2(n+1)4(2n+1)c22c34.} (33)

    By incorporating Eq (23) along with Eq (15) into Eq (21), it follows that Eq (1) presents the following solutions in accordance with the JEF

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±m2(1+n)c416(1+n)3b2c24+(4n33n1)c322(1+m2)(n1)c2× sn(n(1+n)16(1+n)3b2c24+(4n33n1)c322(m2+1)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (34)
    Q(x,y,z,t)=[(2n+1)c24(n+1)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(1+m2)(n1)c2× ns(n(1+n)16(1+n)3b2c24+(4n33n1)c322(m2+1)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (35)
    Q(x,y,z,t)=[(2n+1)c24(n+1)c4±m2(1+n)c416(1+n)3b2c24+(4n33n1)c322(1+m2)(n1)c2× cd(n(1+n)16(1+n)3b2c24+(4n33n1)c322(m2+1)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (36)
    Q(x,y,z,t)=[(2n+1)c24(n+1)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(1+m2)(n1)c2× dc(n(1+n)16(1+n)3b2c24+(4n33n1)c322(m2+1)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (37)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4<0.

    When m=1 in Eqs (34) and (35), it leads to the optical domain wall solution and the singular soliton solution, respectively

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c416(1+n)3b2c24+(4n33n1)c32(n1)c2× tanh(n2(1+n)16(1+n)3b2c24+(4n33n1)c32(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (38)

    and

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c416(1+n)3b2c24+(4n33n1)c32(n1)c2× coth(n2(1+n)16(1+n)3b2c24+(4n33n1)c32(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0). (39)

    Result 3. When setting  χ0=(1m2)χ22(2m2)2χ4 in Eq (22) and solving it with Maple, the resulting solution remains the same as in Eq (23), along with the emergence of the following constraint conditions:

    ω=4(n+1)2(n1)(2n+1)Π2c2c4+8(n+1)3b2c24(4n33n1)c324(n+1)2(n1)(2n+1)c2c4,b4=(2n1){m4(2n+1)2(n1)[32(n+1)3b2c32c24+(2n+1)2(n1)c62]1024(1m2)(n+1)6b22c44}256(2m2)2(n1)2(n+1)4(2n+1)c22c34.} (40)

    By incorporating Eq (23) along with Eq (16) into Eq (21), it follows that Eq (1) presents the following solutions in accordance with the JEF:

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(2m2)(n1)c2× dn(n(1+n)16(1+n)3b2c24+(4n33n1)c322(2m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (41)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4>0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c4(1m2)[16(1+n)3b2c24+(4n33n1)c32]2(2m2)(n1)c2× nd(n(1+n)16(1+n)3b2c24+(4n33n1)c322(2m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (42)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4>0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c416(1+n)3b2c24+(4n33n1)c322(2m2)(n1)c2× cs(n(1+n)16(1+n)3b2c24+(4n33n1)c322(2m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (43)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]<0 and Π1c4<0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12(1+n)c4(1m2)[16(1+n)3b2c24+(4n33n1)c32]2(2m2)(n1)c2× sc(n(1+n)16(1+n)3b2c24+(4n33n1)c322(2m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (44)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]<0 and Π1c4<0.

    When m=0 in Eqs (43) and (44), it leads to periodic solutions, respectively

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c4[16(1+n)3b2c24+(4n33n1)c32](n1)c2× cot(n2(1+n)16(1+n)3b2c24+(4n33n1)c32(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (45)

    and

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c4[16(1+n)3b2c24+(4n33n1)c32](n1)c2× tan(n2(1+n)16(1+n)3b2c24+(4n33n1)c32(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0). (46)

    Result 4. When setting  χ0=(1m2)2χ224(1+m2)2χ4 in Eq (22) and solving it with Maple, the resulting solution remains the same as in Eq (23), along with the emergence of the following constraint conditions:

    ω=4(n+1)2(n1)(2n+1)Π2c2c4+8(n+1)3b2c24(4n33n1)c324(n+1)2(n1)(2n+1)c2c4,b4=(2n1){m2(2n+1)2(n1)[32(n+1)3b2c32c24+(2n+1)2(n1)c62]64(1m2)2(n+1)6b22c44}64(1+m2)2(n1)2(n+1)4(2n+1)c22c34.} (47)

    By incorporating Eq (23) along with Eq (17) into Eq (21), it follows that Eq (1) presents the following solutions in accordance with the JEF:

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c416(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)c2× {m cn(n(1+n)16(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))±dn(n(1+n)16(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))}]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (48)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4>0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c4(1m2)[16(1+n)3b2c24+(4n33n1)c32](1+m2)(n1)c2× {m sd(n(1+n)16(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))±nd(n(1+n)16(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))}]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (49)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4>0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c4(1m2)[16(1+n)3b2c24+(4n33n1)c32](1+m2)(n1)c2× {nc(n(1+n)16(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))±sc(n(1+n)16(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))}]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (50)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]<0 and Π1c4<0.

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c4(1m2)[16(1+n)3b2c24+(4n33n1)c32](1+m2)(n1)c2× {cn(n(1+n)16(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))1±sn(n(1+n)16(1+n)3b2c24+(4n33n1)c32(1+m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))}]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (51)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]<0 and Π1c4<0.

    When m=0 in Eqs (50) and (51), it results in the periodic solutions, respectively:

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c4[16(1+n)3b2c24+(4n33n1)c32]2(n1)c2× {sec(n(1+n)16(1+n)3b2c24+(4n33n1)c322(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))±tan(n(1+n)16(1+n)3b2c24+(4n33n1)c322(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))}]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (52)

    and

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c4[16(1+n)3b2c24+(4n33n1)c32](n1)c2× {cos(n(1+n)16(1+n)3b2c24+(4n33n1)c32(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))1±sin(n(1+n)16(1+n)3b2c24+(4n33n1)c32(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))}]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0). (53)

    Result 5. When setting  χ0=m4χ224(2m2)2χ4 in Eq (22) and solving it with Maple, the resulting solution remains the same as in Eq (23), along with the emergence of the following constraint conditions:

    ω=4(n+1)2(n1)(2n+1)Π2c2c4+8(n+1)3b2c24(4n33n1)c324(n+1)2(n1)(2n+1)c2c4,b4=(2n1){(1m2)(2n+1)2(n1)[32(n+1)3b2c32c24+(2n+1)2(n1)c62]64m4(n+1)6b22c44}64(2m2)2(n1)2(n+1)4(2n+1)c22c34.} (54)

    By incorporating Eq (23) along with Eq (18) into Eq (21), it follows that Eq (1) presents the following solutions in accordance with the JEF:

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±14(1+n)c416(1+n)3b2c24+(4n33n1)c32(2m2)(n1)c2× {1m2 nc(n(1+n)16(1+n)3b2c24+(4n33n1)c32(2m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))±dc(n(1+n)16(1+n)3b2c24+(4n33n1)c32(2m2)(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt))}]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (55)

    provided that c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4<0.

    Result 6. Solving (22) with Maple reveals the following results:

    γ0=c2(2n+1)4c4(n+1), γ0=±12n(2n+1)Π1χ4c4, χ2=[16(n+1)3b2c24+(4n33n1)c32]n22(n+1)2(n1)(2n+1)Π1c2c4,χ0=[32(n+1)3(4n21)b2c2c24256b4c34(n1)(n+1)4+(4n21)(2n+1)2(n1)c42]n416(4n21)(n+1)4(n1)Π21χ4c24, (56)

    and

    ω=4(n+1)2(n1)(2n+1)Π2c2c4+8(n+1)3b2c24(4n33n1)c324(n+1)2(n1)(2n+1)c2c4, (57)

    assuming that Π1χ4c4<0. By integrating Eq (56) along with Eq (19) into Eq (21), it follows that Eq (1) has the following solutions expressed in terms of WEFs

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12n(2n+1)Π1c4×3(β1x+β2y+β3zvt,l2,l3){6(β1x+β2y+β3zvt,l2,l3)+[16(n+1)3b2c24+(4n33n1)c32]n22(n+1)2(n1)(2n+1)Π1c2c4}]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (58)

    and

    Q(x,y,z,t)=[(2n+1)c24(1+n)c4±12n(2n+1)Π1c4×[32(n+1)3(4n21)b2c2c24256b4c34(n1)(n+1)4+(4n21)(2n+1)2(n1)c42]n416(4n21)(n+1)4(n1)Π21c24×12(n+1)2(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt,l2,l3)+16n2(n+1)3b2c24+n2(4n33n1)c326(n+1)2(n1)(2n+1)Π1c2c4(β1x+β2y+β3zvt,l2,l3)]12n                     × ei(κ1xκ2yκ3z+ωt+ζ0), (59)

    where

    l2={n4(2n1)[c62(n1)2(2n+1)4+32(n1)(n+1)3(2n+1)2c24c32b2+64(n+1)6b22c44]192n4c34c22b4(n1)2(n+1)4(2n+1)}12c22c24Π21(n1)2(n+1)4(2n1)(2n+1)2,l3=1216(2n1)(2n+1)3(n+1)6c32Π31c34(n1)3{288n6(2n+1)3(n1)3(n+1)4b4c34c52+32n6[15(2n+1)2(n1)b22c44c3216(n+1)3b32c64](2n1)(n+1)64608n6(n+1)7(n1)2(2n+1)b2b4c22c54+[48n6(n+1)3b2c24c62+n6(n1)(2n+1)2c92](2n1)(n1)2(2n+1)4}, (60)

    provided that (2m21)c2[16(1+n)3b2c24+(4n33n1)c32]>0 and Π1c4>0.

    This section provides an in-depth analysis of the soliton's behavior and characteristics depicted in Figures 115. The figures illustrate various soliton solutions, including bright solitons, singular solitons, dark solitons, and periodic solutions, using the time parameter t=1 and the power nonlinearity parameters n=1,2, and 3. Each set of figures addresses different aspects of the soliton solutions, including their modulus, real part, and imaginary part, presented through surface plots, contour plots, and two-dimensional (2D) plots. The parameters used in Figures 115 are: β1=0.15, β2=0, β3=0, a1=0.2, a2=0.3, a3=0.35, a4=0.4, a5=0.45, a6=0.5, κ1=0.18, κ2=0, κ3=0, b2=0.31, b4=0.4, n=1, n=2, n=3, ω=0.55, v=0.3, and ζ0=0.

    Figure 1.  Profile of a bright soliton given n=1.
    Figure 2.  Profile of a bright soliton given n=2.
    Figure 3.  Profile of a bright soliton given n=3.
    Figure 4.  Profile of a singular soliton given n=1.
    Figure 5.  Profile of a singular soliton given n=2.
    Figure 6.  Profile of a singular soliton given n=3.
    Figure 7.  Profile of a dark soliton given n=1.
    Figure 8.  Profile of a dark soliton given n=2.
    Figure 9.  Profile of a dark soliton given n=3.
    Figure 10.  Profile of a singular soliton given n=1.
    Figure 11.  Profile of a singular soliton given n=2.
    Figure 12.  Profile of a singular soliton given n=3.
    Figure 13.  Profile of a periodic solution given n=1.
    Figure 14.  Profile of a periodic solution given n=2.
    Figure 15.  Profile of a periodic solution given n=3.

    Figures 13 explore the characteristics of the bright soliton described by the complex-valued solution (29). These figures present the soliton's modulus, real part, and imaginary part, as influenced by the power nonlinearity parameters n=1, n=2, and n=3. For n=1 in Figure 1, the surface plots in Figure 1(a), (d), and (g) reveal a highly localized bright soliton with a pronounced peak in its modulus, suggesting strong confinement of energy in space. The contour plots in Figure 1(b), (e), and (h) exhibit circular symmetry, indicating that the soliton maintains its shape during its evolution. The 2D plots in Figure 1(c), (f), and (i) confirm the stability of the soliton under these conditions, with minimal deformation as it propagates through space. In Figure 2, increasing the nonlinearity parameter to n=2 results in a broader soliton profile, as shown in the surface plots (Figure 2(a), (d), and (g)). The energy spreads more widely compared with n=1, and the contour plots (Figure 2(b), (e), and (h)) show less pronounced symmetry. The 2D plots (Figure 2(c), (f), and (i)) demonstrate that while the soliton remains stable, it experiences minor broadening, indicating a stronger influence of nonlinearity. When the nonlinearity parameter increases to n=3 (Figure 3), the soliton becomes even broader, as evidenced by the surface plots (Figure 3(a), (d), and (g)). The contour plots (Figure 3(b), (e), and (h)) show further weakening of the central peak, and the 2D plots (Figure 3(c), (f), and (i)) reveal a more diffuse structure. This suggests that higher-power nonlinearity induces a significant broadening effect, making the bright soliton less confined in space.

    Figures 46 illustrate the singular soliton's behavior using the complex-valued solution (30), again for n=1, n=2, and n=3. Singular solitons are known for their sharp, divergent profiles, and the figures reveal how these profiles evolve under different nonlinearity conditions. For n=1 in Figure 4, the surface plots (Figure 4(a), (d), and (g)) highlight the sharply peaked and highly localized nature of the singular soliton for n=1. The soliton's modulus exhibits a singularity at the core, with the real and imaginary parts showing steep gradients near this point. The contour plots (Figure 4(b), (e), and (h)) clearly indicate the divergence at the center, and the 2D plots (Figure 4(c), (f), and (i)) show the steepness of the soliton, typical of singular solutions. As the nonlinearity increases to n=2 in Figure 5, the singularity becomes more pronounced, as seen in the surface plots (Figure 5(a), (d), and (g)). The contour plots (Figures 5(b), (e), and (h)) show that the energy distribution remains tightly confined to the singularity, and the 2D plots (Figure 5(c), (f), and (i)) reveal a sharper peak than in Figure 4, demonstrating the enhanced focusing effect of increased nonlinearity. Figure 6 shows that for n=3, the singularity reaches an extreme, with the surface plots (Figure 6(a), (d), and (g)) displaying a very narrow and highly localized peak. The contour plots (Figure 6(b), (e), and (h)) confirm the intense confinement of energy around the singularity, while the 2D plots (Figure 6(c), (f), and (i)) depict a highly steep and sharp structure, characteristic of singular solitons under strong nonlinearity.

    Figures 79 analyze the evolution of dark solitons, which are described by the complex-valued solution (38). Dark solitons are characterized by a dip in their modulus, surrounded by a flat background. For n=1 in Figure 7, the dark soliton exhibits a pronounced dip in its modulus, as shown in the surface plots (Figure 7(a), (d), and (g)). The real part displays an antisymmetric structure, while the imaginary part shows a flat profile. The contour plots (Figure 7(b), (e), and (h)) demonstrate that the dark soliton maintains a flat background, and the 2D plots (Figure 7(c), (f), and (i)) highlight the clear dip in the modulus at the soliton's center. Increasing n to 2 results in a more pronounced dip, as illustrated in Figure 8. The surface plots (Figure 8(a), (d), and (g)) show a deeper trough in the modulus, and the contour plots (Figure 8(b), (e), and (h)) depict a sharper contrast between the soliton's center and the surrounding background. The 2D plots (Figure 8(c), (f), and (i)) reveal that the dip becomes more pronounced, indicating the influence of stronger nonlinearity. With n=3 (Figure 9), the dark soliton's dip becomes even deeper, as seen in the surface plots (Figure 9(a), (d), and (g)). The contour plots (Figure 9(b), (e), and (h)) show a well-defined trough, and the 2D plots (Figure 9(c), (f), and (i)) reveal that the dark soliton becomes more pronounced with increasing nonlinearity, indicating the strong influence of the power nonlinearity parameter on the soliton's shape.

    Figures 1012 present another set of singular soliton solutions using the complex-valued solution (39). The characteristics of these solitons are similar to those in Figures 46, with the key difference being the specific form of the solution. For n=1 in Figure 10, the singularity is prominent, as shown in the surface plots (Figure 10(a), (d), and (g)). The contour plots (Figure 10(b), (e), and (h)) indicate the sharp peak characteristic of singular solitons, and the 2D plots (Figure 10(c), (f), and (i)) show the steep gradient near the singularity. Figure 11 illustrates that for n=2, the singularity becomes sharper, as seen in the surface plots (Figure 11(a), (d), and (g)). The contour plots (Figure 11(b), (e), and (h)) show a more localized energy concentration, and the 2D plots (Figure 11(c), (f), and (i)) depict an increasingly steep gradient at the singularity's core. In Figure 12, for n=3, the singularity becomes extremely sharp and localized, as evidenced by the surface plots (Figure 12(a), (d), and (g)), contour plots (Figure 12(b), (e), and (h)), and 2D plots (Figure 12(c), (f), and (i)). The soliton's peak sharpens significantly, illustrating the strong focusing effect of high-power nonlinearity.

    Figures 1315 depict periodic solutions using the complex-valued solution (53). Unlike solitons, periodic solutions exhibit repeating structures over space. For n=1 in Figure 13, the periodic nature of the solution is evident, with repeating peaks and troughs in the modulus, as shown in the surface plots (Figure 13(a), (d), and (g)). The contour plots (Figure 13(b), (e), and (h)) highlight the periodicity, and the 2D plots (Figure 13(c), (f), and (i)) confirm the regular structure of the solution. With n=2 in Figure 14, the periodic peaks and troughs become more pronounced, as evidenced by the surface plots (Figure 14(a), (d), and (g)). The contour plots (Figure 14(b), (e), and (h)) show a sharper contrast between the peaks and troughs, and the 2D plots (Figure 14(c), (f), and (i)) confirm the enhancement of the periodic structure. In Figure 15, the periodic peaks and troughs are even more pronounced for n=3, as shown in the surface plots (Figure 15(a), (d), and (g)). The contour plots (Figure 15(b), (e), and (h)) depict a highly regular pattern, and the 2D plots (Figure 15(c), (f), and (i)) confirm that the periodic structure becomes sharper with increased nonlinearity.

    The behavior of soliton solutions across different types (bright solitons, singular solitons, dark solitons, and periodic solutions) shows distinct yet interconnected patterns as the power nonlinearity increases. This trend reveals important insights into how soliton dynamics are influenced by nonlinearity in optical systems. As the power nonlinearity increases, several key characteristics of the solitons are amplified, leading to sharper, more localized profiles, regardless of the type of soliton under consideration. The overall impact of increasing power nonlinearity on the different soliton types illustrates the diversity of behaviors that can be observed in nonlinear systems. While bright solitons become more concentrated and resistant to dispersion, singular solitons exhibit an extreme focusing of energy near their core, creating sharp, localized fields. Dark solitons, meanwhile, deepen their characteristic dips, maintaining stability in nonlinear environments, and periodic solutions sharpen and densify, leading to more regular and ordered wave patterns. This diversity of soliton behavior highlights the rich dynamics that arise from the interaction between dispersion, nonlinearity, and the initial conditions in these systems. Such a range of soliton solutions is essential for understanding the complex behavior of nonlinear optical systems and the potential to control and manipulate these solutions for technological applications. For instance, bright solitons can be used for signal transmission in fiber optics, dark solitons for phase modulation, singular solitons for high-intensity beam generation, and periodic solutions for filtering and guiding light in photonic structures. The insights gained from the analysis of solitons' behavior with increasing power nonlinearity have significant implications for the design and optimization of nonlinear optical systems, including fiber optics, waveguides, and other systems involving nonlinear wave propagation. By understanding how solitons behave as a function of the nonlinearity parameter, engineers and physicists can better design systems to control solitons' propagation, stability, and interactions. This is crucial for the development of next-generation communication systems, where solitons are used to transmit information over long distances with minimal distortion, or in optical waveguides, where the precise control of light is necessary for applications such as switching, routing, and sensing. Furthermore, understanding the role of nonlinearity in shaping soliton profiles could also advance technologies in quantum communication, plasma physics, and nonlinear laser optics, where intense, localized fields are required to achieve specific outcomes.

    In summary, the analysis of soliton behavior under varying power nonlinearity provides a comprehensive understanding of how these nonlinear waveforms evolve, offering valuable insights for future research and applications in nonlinear wave propagation and optical technologies.

    As we draw to a close on this investigation, we reflect on the exhaustive examination conducted into the NLSE in the context of (3+1) dimensions. Our inquiry has been enriched by the incorporation of cross-spatio-dispersion and generalized Kudryashov's SPM through the utilization of the generalized Jacobi elliptic method. This amalgamation of methodologies has enabled a thorough exploration into the behavior of nonlinear waves in nonlinear media. Our primary objective throughout this study has been to derive new optical soliton solutions expressed through two main mathematical frameworks: Jacobi elliptic functions and Weierstrass elliptic functions. These solutions mark a significant leap forward in our comprehension of the intricate dynamics dictating wave propagation within nonlinear media. Importantly, the solutions we have obtained exhibit remarkable transformations contingent upon the parameter 'm'. This parameter governs the elliptic functions and plays a crucial role in shaping the behavior of the solutions. The spectrum of solutions we have uncovered is broad and enlightening. We have transitioned from optical bullet solutions, which are compact, localized wave packets resembling solitary waves, to optical domain wall solutions, characterized by abrupt changes in phase or amplitude across a distinct boundary. Singular soliton solutions, representing solitary waves that retain their shape and velocity during propagation, have also been elucidated. Finally, we have delved into the realm of Weierstrass elliptic functions, which are doubly periodic functions providing a rich mathematical framework for describing complex wave phenomena. These findings shed light on the intricate interplay among dispersion, nonlinearity, and self-modulation phenomena within optical systems. By unraveling these complexities, we gain deeper insights into the underlying mechanisms governing wave dynamics in nonlinear media. To enhance the clarity of our presentation and facilitate comprehension, we have provided comprehensive visualizations in 3D, 2D, and contour formats. These visual representations offer intuitive insights into the structural attributes of the solutions, revealing patterns and behaviors that might otherwise be obscured by mathematical formalism alone. Furthermore, they highlight the potential applications of these solutions across various domains of physics, from understanding fundamental wave behavior to practical applications in fields such as optical communication and signal processing. In essence, our discoveries not only advance our fundamental understanding of light propagation within complex media but also hold promise for practical implications across a spectrum of disciplines. As we look ahead, these findings will undoubtedly serve as a catalyst for further research and innovation in critical areas of study, propelling us toward new frontiers in the understanding and manipulation of nonlinear wave phenomena.

    Recent experimental developments suggest that our theoretical solutions may be realized in practice. Studies on ultrafast fiber lasers have demonstrated multi-wavelength soliton dynamics, soliton explosions, and chaotic soliton states, offering feasible platforms for validation [27]. The formation of soliton molecules via polarization-induced mechanisms further supports the relevance of our solutions in real-world systems [28]. Additionally, the existence of biperiodic pulsations and solitonic states in fiber lasers highlights another experimental framework where our analytical solutions may be validated, particularly in systems governed by a balance of dispersion and nonlinearity [29]. The use of deep learning for dynamic modeling and coded information storage of vector soliton pulsations in mode-locked fiber lasers [30], as well as the development of tunable three-wavelength fiber lasers with transient switching between soliton and q-switched mode-locked states [31], further demonstrate the potential for experimental realization. Additionally, the generation and π-phase-induced oscillations of multi soliton molecular complexes in ultrafast fiber lasers based on MOF-253@Au provide another avenue for observing and controlling soliton interactions [32].

    Nafissa Toureche Trouba: Writing – original draft; Mohamed E. M. Alngar: Writing – original draft; Reham M. A. Shohib: Writing – original draft; Haitham A. Mahmoud: Writing – review & editing; Yakup Yildirim: Writing – review & editing; Huiying Xu: Writing – review & editing; Xinzhong Zhu: Project administration. All authors have read and agreed to the published version of the manuscript.

    The authors declare that they have not used Artificial Intelligence tools in the creation of this article.

    The authors extend their appreciation to King Saud University for funding this work through the Researchers Supporting Project (number RSPD2025R1006), King Saud University, Riyadh, Saudi Arabia.

    This work was supported by the National Natural Science Foundation of China (62376252), the Key Project of Natural Science Foundation of Zhejiang Province (LZ22F030003), and Zhejiang Province Leading Geese Plan (2024C02G1123882, 2024C01SA100795).

    All authors declare no conflicts of interest in this paper.



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