Home Physical Sciences Abundant new interaction solutions and nonlinear dynamics for the (3+1)-dimensional Hirota–Satsuma–Ito-like equation
Article Open Access

Abundant new interaction solutions and nonlinear dynamics for the (3+1)-dimensional Hirota–Satsuma–Ito-like equation

  • Xiaotian Liu , Yongshuai Zhang and Yunqing Yang EMAIL logo
Published/Copyright: January 23, 2025

Abstract

In this article, the (3+1)-dimensional Hirota–Satsuma–Ito-like equation is investigated by the modified direct method, from which some interaction solutions among lump, stripe solitons, and Jacobi elliptic function wave solutions are obtained, which are crucial in understanding complex behaviors in nonlinear systems where multiple wave types coexist and interact. The corresponding evolution and dynamics for the interaction solutions under different parameters are discussed. Such interactions are key to modeling realistic systems in which multiple phenomena coexist, such as fluid mechanics, plasma physics, and optical systems, where waves can exchange energy and form stable or unstable patterns. These results reported in this article can reveal the theoretical mechanisms of stability, energy transfer, and pattern formation in nonlinear media and may raise the possibility of related experiments and potential applications in nonlinear science fields, such as oceanography, nonlinear optics, and so on.

1 Introduction

The construction of nonlinear wave solutions for soliton equations and the in-depth study of their underlying dynamic properties remains a highly active area of research in the field of integrable systems. It has been demonstrated through theoretical and experimental studies that the examination of nonlinear wave solutions is of significant importance in the elucidation of the theoretical mechanisms underlying related nonlinear phenomena across various physical fields such as Bose–Einstein condensate [1], nonlinear optics [2], oceanography [3], plasma physics [4], and even financial markets [5].

In the last few decades, various effective techniques, including the Hirota bilinear method [6], Darboux and Bäcklund transformation (BT) [7], inverse scattering transformation [8], Riemann–Hilbert problem [9], deep learning method [1012], and so on, have been proposed to construct nonlinear wave solutions with physical meaning and analyze their corresponding evolution behavior [1315]. At the same time, relevant theories and methods have been generalized to fractional order soliton equations, from which various physically meaningful nonlinear wave solutions and corresponding nonlinear dynamics have been studied [1619]. Recently, lump solution, which can be considered a special nonsingular rational solution, has attracted significant interest and is commonly utilized in diverse physical fields, including oceanography and nonlinear optics. A comprehensive analysis of the interactions between lump solutions and other nonlinear wave solutions in various (2+1)- and (3+1)-dimensional evolution equations has been conducted [2027].

In order to describe unidirectional propagation of shallow water waves, Hirota and Satsuma initially proposed a completely integrable model.

(1) u t u x x t 3 u u t + 3 u x v t + u x = 0 , v x = u ,

which can be solved by the inverse scattering method [28]. As integrable extension, the (2+1)-dimensional Hirota–Satsuma–Ito (HSI) equation [29]

(2) w t u x x x 3 u u t + 3 u x v t α u x = 0 , w x = u y , v x = u

and (3+1)-dimensional Hirota–Satsuma–Ito-like (HSIl) equation [30]

(3) c u y t + u x x x t + 3 u x u x t + 3 u x x u t + d u z t = 0

have been proposed, whose nonlinear wave solutions and corresponding dynamics have also been subjected to investigation [3133]. The HSIl equation is a type of nonlinear evolution equation that generalizes the behavior of wave interactions in systems where nonlinearity and dispersion play a central role, which is important in modeling physical phenomena that involve multiple interacting waves or fields with different speeds or properties. Plasma physics, HSIl equation can describe wave interactions where ions and electrons interact with different wave speeds, from which the nonlinear dynamics in plasma environments can be investigated. In fiber optics, the HSIl equation can describe the propagation of light pulses where nonlinearity and dispersion balance each other, which is useful in the study of optical solitons in nonlinear media.

The bilinear BT for the HSIl Eq. (3) has been given, and the interaction phenomena between lump waves and kink waves have also been discussed in [30]. The lump and breather solutions have been constructed and the interaction among the lump, soliton, and periodic waves have also been investigated in [31]. A natural idea is whether more interaction solutions can be constructed, such as lump and stripe solitons, stripe solitons and elliptic periodic function solutions, and so on, to characterize more practical nonlinear phenomena and to provide theoretical guidance for designing new physical experiments and predicting new physical phenomena. This is the main motivation of this study.

This article employs the generalized direct method to investigate the HSIl Eq. (3). The following is a description of the organization of this article. In Section 2, the interaction solutions between lump and stripe solitons for the HSIl Eq. (3) are presented, and the corresponding fusion phenomena are discussed. In Section 3, the interaction solutions between stripe solitons and Jacobi elliptic function waves for the HSIl Eq. (3), whose dynamics are investigated. In Section 4, by combining positive quadratic functions and Jacobi elliptic functions, the interaction solutions between lump and Jacobi elliptic function waves for the HSIl Eq. (3) are obtained. In Section 5, the three mixed-action solutions are subjected to analysis. The conclusion and discussion are presented in Section 6.

2 Interaction solutions between lump and stripe solitons

Using the dependent variable transformation u = ( ln f ) x , the Hirota bilinear form for the Eq. (3) can be given as follows:

(4) ( D x 3 D y + c D y D t + d D z D t ) f f = 0 ,

where the differential operator D [6] is defined as follows:

(5) D x n 1 D y n 2 D z n 3 D t n 4 ( f g ) = x x n 1 y y n 2 z z n 3 × t t n 4 f ( x , y , z , t ) g ( x , y , z , t ) x = x , y = y , z = z , t = t .

Generally, the N -soliton solutions can be constructed by taking f = μ = 0 , 1 exp i < j N μ i μ j A i j + i = 1 N μ i η i . However, these soliton solutions in the high-dimensional situations do not have a tendency to zero everywhere in space, and they are usually referred to as line soliton solutions. To obtain solutions in which the entire space tends to zero, that is the lump solutions, the long-wave limit method [34] has been widely used, but this technique is usually effective in (2+1) dimensions and sometimes fails in (3+1) dimensions. In 2015, the positive quadratic function method for constructing the lump solutions was proposed [20]. In 2017, the method for finding interaction solutions between rogue wave and strip solitons was proposed [27]. Subsequently, the interaction solutions between various types of nonlinear wave solutions were obtained. Here, we take a more generalized approach, extending the spatial variable t as a function of t , which allows the construction of nonlinear wave solutions with greater physical significance and demonstrates a richer range of nonlinear dynamics, although it greatly increases the computational complexity and difficulty.

In the study of nonlinear local waves, lump and stripe waves are two distinct types of waves that describe different physical phenomena. In physics, lump waves are localized, nontraveling waveforms that typically decay to zero in all spatial directions. Stripe waves describe wave structures that are infinite in one dimension and periodic or localized in the perpendicular direction, which represent spatially extended patterns, often with a periodic structure along one axis, resembling “stripes” in their shape. The objective of this section is to construct an interaction solution between lump and one-stripe solitons for HSIl Eq. (3), the function f , is expressed as follows:

(6) f = ξ 1 2 + ξ 2 2 + k e ( k 1 x + k 2 y + k 3 z + k 4 ) + a 9 ( t ) ,

with

(7) ξ 1 = a 1 x + a 2 y + a 3 z + a 4 ( t ) , ξ 2 = a 5 x + a 6 y + a 7 z + a 8 ( t ) ,

where a i ( 1 i 3 , 5 i 7 ) , k i ( 1 i 4 ) , and k are real parameters to be determined, and a 4 ( t ) and a 8 ( t ) are arbitrary functions of the only variable t . Generally, the lump solutions for HSIl Eq. (3) can be derived under the case k = 0 , while the interaction solutions between lump and one-stripe solitons can be obtained by taking a 4 ( t ) = a 40 t + a 41 , a 8 ( t ) = a 80 t + a 81 , and a 9 ( t ) = a 90 . Here, we consider the more general case, that is, a 4 ( t ) , a 8 ( t ) , and a 9 ( t ) are arbitrary functions, which to the best of our knowledge has not yet been investigated.

By substituting Eq. (6) into Eq. (3), these wave parameters can be determined by direct and tedious calculations as follows:

(8) a 1 = a 3 a 5 a 7 , a 2 = a 3 d c , a 4 ( t ) = a 7 a 8 ( t ) a 3 + p 1 , a 6 = a 7 d c , k 2 = k 1 3 + k 3 d c , k 4 = ln 3 k 1 a 5 ( a 3 2 + a 7 2 ) a 7 2 ,

under the constraint condition a 1 a 7 = a 3 a 5 0 , k 1 < 0 , where p 1 is the integral constant. Then, the function f can be obtained as follows:

(9) f = a 3 a 5 a 7 x a 3 d c y + a 3 z a 7 a 8 ( t ) a 3 + p 1 2 + a 5 x a 7 d c y + a 7 z + a 8 ( t ) 2 + k e k 1 x k 1 3 + k 3 d c y + k 3 z + ln 3 k 1 a 5 ( a 3 2 + a 7 2 ) a 7 2 + a 9 ( t ) ,

from which the interaction solution for HSIl Eq. (3) can be given as follows:

(10) u = 4 a 5 a 3 2 3 2 k k 1 2 c a 5 f 1 + ( a 5 x + a 7 z ) d a 7 y ( a 3 2 + a 7 2 ) c 3 k k 1 c 2 a 3 2 a 5 2 ( a 3 2 + a 7 2 ) f 1 + c 2 a 7 2 ( a 3 2 + a 7 2 ) a 8 ( t ) 2 + a 3 2 ( c 2 a 7 2 a 9 + ( a 3 2 + a 7 2 ) ( ( a 5 x + a 7 z ) c d a 7 y ) 2 ) ,

where

(11) f 1 = e k 1 3 y + k 1 c x + k 3 c z k 3 d y c .

Various exact interaction solutions between lump and one-stripe solitons for HSIl Eq. (3) can be obtained by choosing different values of parameters. As a concrete example, the contour plots under the parameters a 3 = 1 , a 5 = 1 , a 7 = 1 , a 8 = t 2 , a 9 = 1 , k = 1 , k 1 = 1 , k 3 = 2 , c = 3 , d = 1 , p 1 = 1 , from which the fusion phenomena can be observed, are shown in Figure 1 to demonstrate the evolution of the interaction solution (10) in different spaces. Figure 1(a)–(c) shows the contours for the solution (10) in x t space, representing the interaction process of the stripe and lump solitons, i.e., from the juxtaposition of the stripe and lump solitons (cf. Figure 1(a)) to the absorption of the lump soliton by the stripe soliton (cf. Figure 1(c)). Figure 1(d)–(f) shows the contours for the solution (10) in y t space, representing the similar interaction process as x t space. Figure 1(g)–(i) demonstrates the contour evolution for the solution (10) in y t space and also exhibit the collision between process of the stripe and lump solitons, except that the lump velocity is faster than the stripe soliton velocity; thus, it is the process of the lump soliton chasing the stripe soliton and being absorbed.

Figure 1 
               The contour propagation for the solution (10) with 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 3
                              
                           
                           =
                           1
                        
                        {a}_{3}=1
                     
                  , 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 5
                              
                           
                           =
                           1
                        
                        {a}_{5}=1
                     
                  , 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 7
                              
                           
                           =
                           1
                        
                        {a}_{7}=1
                     
                  , 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 8
                              
                           
                           =
                           
                              
                                 t
                              
                              
                                 2
                              
                           
                        
                        {a}_{8}={t}^{2}
                     
                  , 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 9
                              
                           
                           =
                           1
                        
                        {a}_{9}=1
                     
                  , 
                     
                        
                        
                           k
                           =
                           1
                        
                        k=1
                     
                  , 
                     
                        
                        
                           
                              
                                 k
                              
                              
                                 1
                              
                           
                           =
                           ‒
                           1
                        
                        {k}_{1}=&#x2012;1
                     
                  , 
                     
                        
                        
                           
                              
                                 k
                              
                              
                                 3
                              
                           
                           =
                           2
                        
                        {k}_{3}=2
                     
                  , 
                     
                        
                        
                           c
                           =
                           3
                        
                        c=3
                     
                  , 
                     
                        
                        
                           d
                           =
                           1
                        
                        d=1
                     
                  , 
                     
                        
                        
                           
                              
                                 p
                              
                              
                                 1
                              
                           
                           =
                           1
                        
                        {p}_{1}=1
                     
                  , 
                     
                        
                        
                           y
                           =
                           1
                        
                        y=1
                     
                  , and (a) 
                     
                        
                        
                           y
                           =
                           1
                        
                        y=1
                     
                  , 
                     
                        
                        
                           z
                           =
                           ‒
                           6
                        
                        z=&#x2012;6
                     
                  ; (b) 
                     
                        
                        
                           y
                           =
                           1
                        
                        y=1
                     
                  , 
                     
                        
                        
                           z
                           =
                           0
                        
                        z=0
                     
                  ; (c) 
                     
                        
                        
                           y
                           =
                           1
                        
                        y=1
                     
                  , 
                     
                        
                        
                           z
                           =
                           15
                        
                        z=15
                     
                  ; (d) 
                     
                        
                        
                           x
                           =
                           1
                        
                        x=1
                     
                  , 
                     
                        
                        
                           z
                           =
                           0
                        
                        z=0
                     
                  ; (e) 
                     
                        
                        
                           x
                           =
                           1
                        
                        x=1
                     
                  , 
                     
                        
                        
                           z
                           =
                           2
                        
                        z=2
                     
                  ; (f) 
                     
                        
                        
                           x
                           =
                           1
                        
                        x=1
                     
                  , 
                     
                        
                        
                           z
                           =
                           6
                        
                        z=6
                     
                  ; (g) 
                     
                        
                        
                           x
                           =
                           ‒
                           1
                        
                        x=&#x2012;1
                     
                  , 
                     
                        
                        
                           y
                           =
                           ‒
                           50
                        
                        y=&#x2012;50
                     
                  ; (h) 
                     
                        
                        
                           x
                           =
                           ‒
                           1
                        
                        x=&#x2012;1
                     
                  , 
                     
                        
                        
                           y
                           =
                           0
                        
                        y=0
                     
                  ; and (i) 
                     
                        
                        
                           x
                           =
                           ‒
                           1
                        
                        x=&#x2012;1
                     
                  , 
                     
                        
                        
                           y
                           =
                           100
                        
                        y=100
                     
                  .
Figure 1

The contour propagation for the solution (10) with a 3 = 1 , a 5 = 1 , a 7 = 1 , a 8 = t 2 , a 9 = 1 , k = 1 , k 1 = 1 , k 3 = 2 , c = 3 , d = 1 , p 1 = 1 , y = 1 , and (a) y = 1 , z = 6 ; (b) y = 1 , z = 0 ; (c) y = 1 , z = 15 ; (d) x = 1 , z = 0 ; (e) x = 1 , z = 2 ; (f) x = 1 , z = 6 ; (g) x = 1 , y = 50 ; (h) x = 1 , y = 0 ; and (i) x = 1 , y = 100 .

3 Interaction solutions between stripe solitons and Jacobi elliptic function waves

This section is primarily concerned with the interaction between stripe solitons and Jacobi elliptic function waves. To this end, the function f is taken as follows:

(12) f = k 1 + k 2 e g + k 3 JacobiSN ( h , m ) ,

where

(13) g = a 1 x + a 2 y + a 3 z + a 4 ( t ) , h = a 5 x + a 6 y + a 7 z + a 8 ( t ) ,

where k i ( 1 i 3 ) , a i ( 1 i 3 ) , a i ( 5 i 7 ) are real parameters to be determined, and a 4 ( t ) , a 8 ( t ) are arbitrary functions of variable t .

By substituting Eq. (12) with Eqs. (13) into Eq. (3), the parameters can be obtained as follows:

(14) a 2 = a 1 3 + a 3 d c , a 5 = 0 , a 6 = a 7 d c ,

from which the function f can be written as follows:

(15) f = k 1 + k 2 e a 1 x a 1 3 + a 3 d c y + a 3 z + a 4 ( t ) + k 3 JacobiSN a 7 d c y + a 7 z + a 8 ( t ) , m ,

Then, the interaction solutions between stripe solitons and Jacobi elliptic function can be derived as follows:

(16) u = 2 k 2 a 1 e a 1 3 y + a 1 c x + a 3 c z a 3 d y + a 4 ( t ) c c k 1 + k 2 e a 1 3 y + a 1 c x + a 3 c z a 3 d y + a 4 ( t ) c c + k 3 JacobiSN a 7 c z a 7 d y + a 8 ( t ) c c , m .

Here, we take a 4 ( t ) = t 2 as an example to demonstrate the evolution and dynamic properties of the interaction solution (16). It is not hard to verify that the the interaction solution (16) eventually tends to the plane wave as time develops, that is,

(17) lim t + u = lim t + 2 k 2 a 1 e a 1 3 y + a 1 c x + a 3 c z a 3 d y + a 4 ( t ) c c k 1 + k 2 e a 1 3 y + a 1 c x + a 3 c z a 3 d y + a 4 ( t ) c c + k 3 JacobiSN a 7 c z a 7 d y + a 8 ( t ) c c , m = 2 .

Figure 2 presents the 3D evolution and density plots for the interaction solution (16) in the x z space, from which it can be seen the interaction between the stripe solitons and the periodic solution. There are similar evolution states in other spaces, which are omitted here for the sake of simplicity.

Figure 2 
               The evolution for the interaction solution (16) with parameters 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 1
                              
                           
                           =
                           1
                        
                        {a}_{1}=1
                     
                  , 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 3
                              
                           
                           =
                           2
                        
                        {a}_{3}=2
                     
                  , 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 4
                              
                           
                           =
                           
                              
                                 t
                              
                              
                                 2
                              
                           
                        
                        {a}_{4}={t}^{2}
                     
                  , 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 8
                              
                           
                           =
                           cos
                           
                              (
                              
                                 t
                              
                              )
                           
                        
                        {a}_{8}={\rm{\cos }}\left(t)
                     
                  , 
                     
                        
                        
                           
                              
                                 k
                              
                              
                                 1
                              
                           
                           =
                           1
                        
                        {k}_{1}=1
                     
                  , 
                     
                        
                        
                           
                              
                                 k
                              
                              
                                 2
                              
                           
                           =
                           1
                        
                        {k}_{2}=1
                     
                  , 
                     
                        
                        
                           
                              
                                 k
                              
                              
                                 3
                              
                           
                           =
                           1
                        
                        {k}_{3}=1
                     
                  , 
                     
                        
                        
                           c
                           =
                           1
                        
                        c=1
                     
                  , 
                     
                        
                        
                           d
                           =
                           1
                        
                        d=1
                     
                  , 
                     
                        
                        
                           m
                           =
                           0.5
                        
                        m=0.5
                     
                  , 
                     
                        
                        
                           y
                           =
                           1
                        
                        y=1
                     
                  , 
                     
                        
                        
                           t
                           =
                           3
                        
                        t=3
                     
                  : (a) 3D plot and (b) density plot.
Figure 2

The evolution for the interaction solution (16) with parameters a 1 = 1 , a 3 = 2 , a 4 = t 2 , a 8 = cos ( t ) , k 1 = 1 , k 2 = 1 , k 3 = 1 , c = 1 , d = 1 , m = 0.5 , y = 1 , t = 3 : (a) 3D plot and (b) density plot.

4 Interaction solutions between lump and Jacobi elliptic function waves

The objective of this section is to obtain the interaction solutions between lump and Jacobi elliptic function waves for the HSIl Eq. (3). Here, we mainly give two construction methods.

Case 1

In this case, the function f is defined as the combination of a positive quadratic function and a Jacobi elliptic function, that is,

(18) f = k 1 + k 2 g 2 + k 3 JacobiSN ( h , m ) ,

with

(19) g = a 1 x + a 2 y + a 3 z + a 4 , h = a 5 x + a 6 y + a 7 z + a 8 ( t ) ,

where k i ( 1 i 3 ) , a i ( 1 i 7 ) are real parameters to be determined, and a 8 ( t ) is the function of variable t .

By substituting function f (12) into Eq. (3) and computing directly, we have

(20) a 2 = a 3 d c , a 5 = 0 , a 6 = a 7 d c ,

from which the function f can be obtained as follows:

(21) f = k 1 + k 2 a 1 x a 3 d c y + a 3 z + a 4 2 + k 3 JacobiSN a 7 d c y + a 7 z + a 8 ( t ) , m ,

Then, the interaction between the lump and Jacobi elliptic function waves for the HSIl Eq. (3) can be given as follows:

(22) u = 4 c a 1 k 2 f 2 k 3 c 2 f 1 + k 2 f 2 2 + k 1 c 2 ,

where

(23) f 1 = JacobiSN a 7 c z a 7 d y + a 8 ( t ) c c , m , f 2 = ( c ( a 1 x + a 3 z + a 4 ) a 3 d y ) ,

It is obvious that the nonsingularity of solution (22) can be guaranteed by taking suitable values for the parameters k 1 , k 2 , and k 3 , since the Jacobi function f 1 is periodic with a range [ 1 , 1 ] .

To demonstrate the evolution and interaction properties of the solution (22), we take parameters a 1 = 1 , a 3 = 1 , a 4 = 1 , a 7 = 1 , k 1 = 1 , c = 1 , d = 1 as an example, under which the solution (22) can be simplified as follows:

(24) u = 4 ( x y + z + 1 ) k 3 JacobiSN ( a 8 ( t ) + z y , m ) + ( x y + z + 1 ) 2 + 1 ,

which clearly has no singularity under condition k 3 < 1 . At the same time, Eq. (24) implies that the nonlinear wave solution is localized in all spatial directions and periodic in the t direction, whose periodicity is determined by the function a 8 ( t ) and parameter m . Figure 3 shows the evolution and contour plots for the solution (24) in x t space, which illustrates the interaction between lump and periodic wave solutions.

Figure 3 
               The 3D and contour propagation for the interaction solution (24) with parameters 
                     
                        
                        
                           
                              
                                 a
                              
                              
                                 8
                              
                           
                           =
                           sin
                           
                              (
                              
                                 t
                              
                              )
                           
                        
                        {a}_{8}={\rm{\sin }}\left(t)
                     
                  , 
                     
                        
                        
                           m
                           =
                           0.5
                        
                        m=0.5
                     
                  , 
                     
                        
                        
                           z
                           =
                           1
                        
                        z=1
                     
                  , and (a) 
                     
                        
                        
                           y
                           =
                           1
                        
                        y=1
                     
                  , (b) 
                     
                        
                        
                           y
                           =
                           2
                        
                        y=2
                     
                  , and (c) 
                     
                        
                        
                           y
                           =
                           3
                        
                        y=3
                     
                  .
Figure 3

The 3D and contour propagation for the interaction solution (24) with parameters a 8 = sin ( t ) , m = 0.5 , z = 1 , and (a) y = 1 , (b) y = 2 , and (c) y = 3 .

Case 2

In this case, the function f is taken as the combination of two positive quadratic functions and a Jacobi elliptic function, that is,

(25) f = g 2 + h 2 + k JacobiSN ( l , m ) + a 9 ,

with

(26) g = a 1 x + a 2 y + a 3 z + a 4 ( t ) , h = a 5 x + a 6 y + a 7 z + a 8 ( t ) , l = k 1 + k 2 y + k 3 z + k 4 ( t ) ,

where k i ( 1 i 3 ) , a i ( 1 i 7 ) ( i 4 ) are real parameters to be determined, and a 4 ( t ) , a 8 ( t ) , and k 4 ( t ) are the functions of variable t . In the same way as in case 1, by symbolic calculation, we obtain

(27) a 2 = a 3 k 2 k 3 , a 4 ( t ) = a 5 , a 8 ( t ) a 1 + p , a 6 = a 3 k 2 k 3 , k 1 = 0 , c = d k 3 k 2 ,

where p is the integral constant. Then, the function f can be simplified as follows:

(28) f = a 1 x + a 3 k 2 y k 3 + a 3 z a 8 ( t ) a 5 a 1 + p 2 + a 5 x + a 7 k 2 y k 3 + a 7 z + a 8 2 + k JacobiSN ( k 2 y + k 3 z + k 4 , m ) + a 9 ,

from which the interaction solution between lump and Jacobi elliptic function waves for Eq. (3) can be obtained by substituting Eq. (28) into u = ( ln f ) x . To demonstrate the corresponding dynamic properties, we take the parameters a 1 = 1 , a 2 = 1 , a 3 = 1 , a 4 = t , a 5 = 1 , a 6 = 1 , a 7 = 1 , a 8 = t , a 9 = 2 , k 1 = 0 , k 2 = 1 , k 3 = 2 , k 4 = t 2 , k = 1 , c = 1 , m = 0.5 , p = 0 , and the interaction solution can be derived as follows:

(29) u = 4 ( 2 x + y + 2 z ) 2 ( x + y + z ) 2 + 2 t 2 + JacobiSN ( t 2 + y + 2 z , 0.5 ) + 2 .

Figure 4 shows the interaction process between the lump and Jacobi elliptic function waves at different times. It can be observed that as time t increase, the effect of the interaction between the two waves gradually weakens, which is consistent with the physical phenomenon of energy collision.

Figure 4 
               The 3D and contour propagation for the interaction solution (29) with parameters 
                     
                        
                        
                           m
                           =
                           0.5
                        
                        m=0.5
                     
                  , 
                     
                        
                        
                           y
                           =
                           ‒
                           0.1
                        
                        y=&#x2012;0.1
                     
                   and (a) 
                     
                        
                        
                           t
                           =
                           0
                        
                        t=0
                     
                  , (b) 
                     
                        
                        
                           t
                           =
                           2
                        
                        t=2
                     
                  , and (c) 
                     
                        
                        
                           t
                           =
                           6
                        
                        t=6
                     
                  .
Figure 4

The 3D and contour propagation for the interaction solution (29) with parameters m = 0.5 , y = 0.1 and (a) t = 0 , (b) t = 2 , and (c) t = 6 .

5 Mixed interaction solutions

In this section, we attempt to construct the mixed interaction solutions combined with Jacobian, exponential, and integral quadratic functions. To this end, the function f is taken as follows:

(30) f = ξ 1 2 + ξ 2 2 + α e g + β JacobiSN ( h , m ) + a 9 ,

with

(31) ξ 1 = a 1 x + a 2 y + a 3 z + a 4 ( t ) , ξ 2 = a 5 x + a 6 y + a 7 z + a 8 ( t ) , g = k 1 x + k 2 y + k 3 z + k 4 , h = k 5 x + k 6 y + k 7 z + k 8 ( t ) ,

where a 4 ( t ) , a 8 ( t ) , and k 8 ( t ) are the functions of variable t . Besides them, k i ( 1 i 7 ) , a j ( 1 j 9 ) ( j 4 , 8 ) , α , β are real parameters to be determined.

By substituting Eq. (30) for Eq. (3), we have

(32) a 2 = a 3 k 6 k 7 , a 4 ( t ) = a 5 a 8 ( t ) a 1 + p , a 6 = a 7 k 6 k 7 , k 2 = k 6 ( k 1 2 + d k 3 ) d k 7 , k 5 = 0 , c = d k 7 k 6 ,

where p is integral constant, from which the function f can be derived as follows:

(33) f = a 1 x + a 3 k 6 k 7 y + a 3 z + a 5 a 8 ( t ) a 1 + p 2 + a 5 x + a 7 k 6 k 7 y + a 7 z + a 8 ( t ) 2 + α e k 1 x + k 6 ( k 1 2 + d k 3 ) d k 7 y + k 3 z + k 4 + β JacobiSN ( k 6 y + k 7 z + k 8 ( t ) , m ) .

Similar to the previous cases, the mixed solution u can be obtained by directly substituting. Figure 5 shows the evolution behavior of the mixed solution by taking parameter values a 1 = 1 , a 2 = 1 , a 3 = 1 , a 4 = t , a 5 = 1 , a 6 = 1 , a 7 = 1 , a 8 = t , a 9 = 2 , k = 1 , k 1 = 1 , k 2 = 3 2 , k 3 = 1 , k 4 = 1 , k 5 = 0 , k 6 = 1 , k 7 = 1 , k 8 = t , d = 2 , c = 1 , m = 0.5 , p = 0 , α = 1 , β = 1 , under which the mixed solution can be simplified as follows:

(34) u = 2 ( 4 x + 4 y + 4 z + e z + 1 + x + 3 y 2 ) 2 t 2 + 2 ( x + y + z ) 2 + e z + 1 + x + 3 y 2 + JacobiSN ( y + z + t , 0.5 ) + 2 .

Figure 5 
               The 3D and contour propagation for the interaction solution (34) with parameters 
                     
                        
                        
                           m
                           =
                           0.5
                           ,
                           y
                           =
                           ‒
                           10
                        
                        m=0.5,y=&#x2012;10
                     
                   and (a) 
                     
                        
                        
                           t
                           =
                           0
                        
                        t=0
                     
                  , (b) 
                     
                        
                        
                           t
                           =
                           1.5
                        
                        t=1.5
                     
                  , and (c) 
                     
                        
                        
                           t
                           =
                           5
                        
                        t=5
                     
                  .
Figure 5

The 3D and contour propagation for the interaction solution (34) with parameters m = 0.5 , y = 10 and (a) t = 0 , (b) t = 1.5 , and (c) t = 5 .

In contrast to the case 2 figure presented in Section 4, Figure 5 depicts the presence of an additional striped soliton, which is more readily discernible from the expression of function f (30). It can be observed from Figure 5 that interactions between the three types of waves over time exhibit similarities to those observed in previous sections.

6 Conclusion and discussion

The present article examines the interactions between three distinct types of solutions, namely, lump, stripe solitons, and Jacobi elliptic function solutions. The (3+1)-dimensional HSIL equation has been constructed based on a modified direct method, with an accompanying discussion of its associated evolution and dynamics. In contrast to the independent variables of existing methods, which are typically represented by linear functions of spatial and temporal variables, the variables in this study represent a combination of linear functions of spatial variables and arbitrary spatial functions, thereby exhibiting a more intricate relationship with the dependent variables. As a result, a number of fascinating dynamical properties of the interaction solutions for the HSIl equation have been identified, which may provide theoretical insight into the underlying mechanisms of related nonlinear physical phenomena.

The study of interaction solutions enriches the structure of nonlinear local wave solutions for soliton equations, provides theoretical models for characterizing complex nonlinear phenomena in different physical fields, including nonlinear optics, plasma and oceanography, and provides theoretical guidance for predicting new nonlinear phenomena and designing new physical experiments. At the same time, it provides an information source for studying complex nonlinear waves using numerical simulation and deep learning method. Of course, there are still many issues that need further investigation, such as how to improve this method to obtain more physically meaningful interaction solutions and nonlinear dynamical properties? How to extend this method to more nonlinear evolution equations with practical physical significance? How to effectively combine numerical simulation and deep learning method to study the nonlinear dynamics of the interaction solutions in depth? These are also our upcoming studies in the near future.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Nos. 12075208 and 12171433).

  1. Funding information: The authors state no funding involved.

  2. Author contributions: Methodology: Xiaotian Liu; software: Xiaotian Liu; writing-original draft: Xiaotian Liu; writing-review and editing: Yunqing Yang; visualization: Xiaotian Liu and Yongshuai Zhang; supervision: Yongshuai Zhang and Yunqing Yang. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Conflict of interest: The authors state no conflict of interest.

  4. Data availability statement: All data generated or analysed during this study are included in this published article.

References

[1] Pitaevskii L, Stringari S. Bose–Einstein condensation and superfluidity. Oxford: Oxford University Press; 2016. 10.1093/acprof:oso/9780198758884.001.0001Search in Google Scholar

[2] Malomed BA. Nonlinear optics: symmetry breaking in laser cavities. Nat Photonics. 2015;9(5):287–9. 10.1038/nphoton.2015.66Search in Google Scholar

[3] Huchet M, Babarit A, Ducrozet G, Ferrant P, Gilloteaux JC, Droniou E. Experimental assessment of a nonlinear, deterministic sea wave prediction method using instantaneous velocity profiles. Ocean Eng. 2023;281:114739. 10.1016/j.oceaneng.2023.114739Search in Google Scholar

[4] Zabolotnykh AA. Nonlinear Schrödinger equation for a two-dimensional plasma: Solitons, breathers, and plane wave stability. Phys Rev B. 2023;108(11):115424. 10.1103/PhysRevB.108.115424Search in Google Scholar

[5] Yan ZY. Vector financial rogue waves. Phys Lett A. 2011;375(48):4274–9. 10.1016/j.physleta.2011.09.026Search in Google Scholar

[6] Hirota R. Direct methods in soliton theory. Berlin: Springer; 2004. 10.1017/CBO9780511543043Search in Google Scholar

[7] Matveev VB, Salle MA. Darboux transformation and solitons. Berlin: Springer-Verlag; 1991. 10.1007/978-3-662-00922-2Search in Google Scholar

[8] Ablowitz MJ, Clarkson PA. Solitons; nonlinear evolution equations and inverse scattering. Cambridge: Cambridge University Press; 1991. 10.1017/CBO9780511623998Search in Google Scholar

[9] Yang YL, Fan EG. Riemann–Hilbert approach to the modified nonlinear Schrödinger equation with non-vanishing asymptotic boundary conditions. Phys D. 2021;417:132811. 10.1016/j.physd.2020.132811Search in Google Scholar

[10] Raissi M, Perdikaris P, Karniadakis GE. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. J Comput Phys. 2019;378:686–707. 10.1016/j.jcp.2018.10.045Search in Google Scholar

[11] Lin SN, Chen Y. Physics-informed neural network methods based on Miura transformations and discovery of new localized wave solutions. Phys D. 2023;445:133629. 10.1016/j.physd.2022.133629Search in Google Scholar

[12] Zhou ZJ, Yan ZY. Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent?. Phys D. 2024;457:133987. 10.1016/j.physd.2023.133987Search in Google Scholar

[13] Ullah N, Asjad MI, Rehman HU, A Akgül. Construction of optical solitons of Radhakrishnan-Kundu-Lakshmanan equation in birefringent fibers. Nonlinear Eng. 2022;11(1):80–91. 10.1515/nleng-2022-0010Search in Google Scholar

[14] Faridi WA, Asghar U, Asjad MI, Zidan AM, Eldin SM. Explicit propagating electrostatic potential waves formation and dynamical assessment of generalized Kadomtsev-Petviashvili modified equal width-Burgers model with sensitivity and modulation instability gain spectrum visualization. Results Phys. 2023;44:106167. 10.1016/j.rinp.2022.106167Search in Google Scholar

[15] Sagher AA, Asjad MI, Muhammad T. Advanced techniques for analyzing solitary waves in circular rods: a sensitivity visualization study. Opt Quant Electron. 2024;56:1673. 10.1007/s11082-024-07573-3Search in Google Scholar

[16] Strunin DV, Malomed BA. Symmetry-breaking transitions in quiescent and moving solitons in fractional couplers. Phys Rev E. 2023;107(6):064203. 10.1103/PhysRevE.107.064203Search in Google Scholar PubMed

[17] Rehman HU, Inc M, Asjad M, Habib A, Munir Q. New soliton solutions for the space-time fractional modified third order Korteweg-de Vries equation. J Ocean Eng Sci. 2022. 10.1016/j.joes.2022.05.032.Search in Google Scholar

[18] Asjad MI, Faridi WA, Alhazmi SE, Hussanan A. The modulation instability analysis and generalized fractional propagating patterns of the Peyrard-Bishop DNA dynamical equation. Opt Quant Electron. 2023;55:232. 10.1007/s11082-022-04477-ySearch in Google Scholar

[19] Liu M, Wang H, Yang H, Liu W. Study on propagation properties of fractional soliton in the inhomogeneous fiber with higher-order effects. Nonlinear Dyn. 2024;112:1327–37. 10.1007/s11071-023-09099-xSearch in Google Scholar

[20] Ma WX. Lump solutions to the Kadomtsev-Petviashvili equation. Phys Lett A. 2015;379(36):1975–8. 10.1016/j.physleta.2015.06.061Search in Google Scholar

[21] Ma WX. Interaction solutions to Hirota–Satsuma–Ito equation in (2+1)-dimensions. Front Math China. 2019;14:619–29. 10.1007/s11464-019-0771-ySearch in Google Scholar

[22] Wazwaz AM. Painlevé integrability and lump solutions for two extended (3+1)-and (2+1)-dimensional Kadomtsev-Petviashvili equations. Nonlinear Dyn. 2023;111:3623–32. 10.1007/s11071-022-08074-2Search in Google Scholar

[23] Wazwaz AM, Alhejaili W, El-Tantawy SA. On the Painlevé integrability and nonlinear structures to a (3+1)-dimensional Boussinesq-type equation in fluid mediums: Lumps and multiple soliton/shock solutions. Phys Fluids. 2024;36:033116. 10.1063/5.0194071Search in Google Scholar

[24] Zhang XE, Chen Y, Tang XY. Rogue wave and a pair of resonance stripe solitons to KP equation. Comput Math Appl. 2018;76(8):1938–49. 10.1016/j.camwa.2018.07.040Search in Google Scholar

[25] Chen ST, Ma WX. Lump solutions of a generalized Calogero-Bogoyavlenskii-Schiff equation. Comput Math Appl. 2018;76(7):1680–5. 10.1016/j.camwa.2018.07.019Search in Google Scholar

[26] Huang LL, Chen Y. Lump solutions and interaction phenomenon for (2+1)-dimensional Sawada-Kotera equation. Commun Theor Phys. 2017;67:473–8. 10.1088/0253-6102/67/5/473Search in Google Scholar

[27] Zhang XE, Chen Y. Rogue wave and a pair of resonance stripe solitons to a reduced (3+1)-dimensional Jimbo-Miwa equation. Commun Nonlinear Sci Numer Simul. 2017;52:24–31. 10.1016/j.cnsns.2017.03.021Search in Google Scholar

[28] Hirota R, Satsuma J. N-soliton solutions of model equations for shallow water waves. J Phys Soc Jpn. 1976;40(2):611–2. 10.1143/JPSJ.40.611Search in Google Scholar

[29] Zhou Y, Manukure S, Ma WX. Lump and lump soliton solutions to the Hirota–Satsuma–Ito equation. Commun Nonlinear Sci Numer Simul. 2019;68:56–62. 10.1016/j.cnsns.2018.07.038Search in Google Scholar

[30] Chen SJ, Ma WX, Lu X. Baaacklund transformation, exact solutions and interaction behaviour of the (3+1)-dimensional Hirota–Satsuma–Ito-like equation. Commun Nonlinear Sci Numer Simul. 2020;83:105–35. 10.1016/j.cnsns.2019.105135Search in Google Scholar

[31] Wang B, Ma Z, Liu X. Dynamics of nonlinear wave and interaction phenomenon in the (3+1)-dimensional Hirota–Satsuma–Ito-like equation. Eur Phys J D. 2022;76:165. 10.1140/epjd/s10053-022-00493-5Search in Google Scholar

[32] Liu S, Yang Z, Althobaiti A, Wang Y. Lump solution and lump-type solution to a class of water wave equation. Results Phys. 2023;45:106221. 10.1016/j.rinp.2023.106221Search in Google Scholar

[33] Liu JG, Eslami M, Rezazadeh H, Mirzazadeh M. Rational solutions and lump solutions to a non-isospectral and generalized variable-coefficient Kadomtsev-Petviashvili equation. Nonlinear Dyn. 2019;95:1027–33. 10.1007/s11071-018-4612-4Search in Google Scholar

[34] Ablowitz M, Satsuma J. Solitons and rational solutions of nonlinear evolution equations. J Math Phys. 1978;19(10):2180–6. 10.1063/1.523550Search in Google Scholar

Received: 2024-09-23
Revised: 2024-11-13
Accepted: 2024-11-15
Published Online: 2025-01-23

© 2025 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Research Articles
  2. Single-step fabrication of Ag2S/poly-2-mercaptoaniline nanoribbon photocathodes for green hydrogen generation from artificial and natural red-sea water
  3. Abundant new interaction solutions and nonlinear dynamics for the (3+1)-dimensional Hirota–Satsuma–Ito-like equation
  4. A novel gold and SiO2 material based planar 5-element high HPBW end-fire antenna array for 300 GHz applications
  5. Explicit exact solutions and bifurcation analysis for the mZK equation with truncated M-fractional derivatives utilizing two reliable methods
  6. Optical and laser damage resistance: Role of periodic cylindrical surfaces
  7. Numerical study of flow and heat transfer in the air-side metal foam partially filled channels of panel-type radiator under forced convection
  8. Water-based hybrid nanofluid flow containing CNT nanoparticles over an extending surface with velocity slips, thermal convective, and zero-mass flux conditions
  9. Dynamical wave structures for some diffusion--reaction equations with quadratic and quartic nonlinearities
  10. Solving an isotropic grey matter tumour model via a heat transfer equation
  11. Study on the penetration protection of a fiber-reinforced composite structure with CNTs/GFP clip STF/3DKevlar
  12. Influence of Hall current and acoustic pressure on nanostructured DPL thermoelastic plates under ramp heating in a double-temperature model
  13. Applications of the Belousov–Zhabotinsky reaction–diffusion system: Analytical and numerical approaches
  14. AC electroosmotic flow of Maxwell fluid in a pH-regulated parallel-plate silica nanochannel
  15. Interpreting optical effects with relativistic transformations adopting one-way synchronization to conserve simultaneity and space–time continuity
  16. Modeling and analysis of quantum communication channel in airborne platforms with boundary layer effects
  17. Theoretical and numerical investigation of a memristor system with a piecewise memductance under fractal–fractional derivatives
  18. Tuning the structure and electro-optical properties of α-Cr2O3 films by heat treatment/La doping for optoelectronic applications
  19. High-speed multi-spectral explosion temperature measurement using golden-section accelerated Pearson correlation algorithm
  20. Dynamic behavior and modulation instability of the generalized coupled fractional nonlinear Helmholtz equation with cubic–quintic term
  21. Study on the duration of laser-induced air plasma flash near thin film surface
  22. Exploring the dynamics of fractional-order nonlinear dispersive wave system through homotopy technique
  23. The mechanism of carbon monoxide fluorescence inside a femtosecond laser-induced plasma
  24. Numerical solution of a nonconstant coefficient advection diffusion equation in an irregular domain and analyses of numerical dispersion and dissipation
  25. Numerical examination of the chemically reactive MHD flow of hybrid nanofluids over a two-dimensional stretching surface with the Cattaneo–Christov model and slip conditions
  26. Impacts of sinusoidal heat flux and embraced heated rectangular cavity on natural convection within a square enclosure partially filled with porous medium and Casson-hybrid nanofluid
  27. Stability analysis of unsteady ternary nanofluid flow past a stretching/shrinking wedge
  28. Solitonic wave solutions of a Hamiltonian nonlinear atom chain model through the Hirota bilinear transformation method
  29. Bilinear form and soltion solutions for (3+1)-dimensional negative-order KdV-CBS equation
  30. Solitary chirp pulses and soliton control for variable coefficients cubic–quintic nonlinear Schrödinger equation in nonuniform management system
  31. Influence of decaying heat source and temperature-dependent thermal conductivity on photo-hydro-elasto semiconductor media
  32. Dissipative disorder optimization in the radiative thin film flow of partially ionized non-Newtonian hybrid nanofluid with second-order slip condition
  33. Bifurcation, chaotic behavior, and traveling wave solutions for the fractional (4+1)-dimensional Davey–Stewartson–Kadomtsev–Petviashvili model
  34. New investigation on soliton solutions of two nonlinear PDEs in mathematical physics with a dynamical property: Bifurcation analysis
  35. Mathematical analysis of nanoparticle type and volume fraction on heat transfer efficiency of nanofluids
  36. Creation of single-wing Lorenz-like attractors via a ten-ninths-degree term
  37. Optical soliton solutions, bifurcation analysis, chaotic behaviors of nonlinear Schrödinger equation and modulation instability in optical fiber
  38. Chaotic dynamics and some solutions for the (n + 1)-dimensional modified Zakharov–Kuznetsov equation in plasma physics
  39. Fractal formation and chaotic soliton phenomena in nonlinear conformable Heisenberg ferromagnetic spin chain equation
  40. Single-step fabrication of Mn(iv) oxide-Mn(ii) sulfide/poly-2-mercaptoaniline porous network nanocomposite for pseudo-supercapacitors and charge storage
  41. Novel constructed dynamical analytical solutions and conserved quantities of the new (2+1)-dimensional KdV model describing acoustic wave propagation
  42. Tavis–Cummings model in the presence of a deformed field and time-dependent coupling
  43. Spinning dynamics of stress-dependent viscosity of generalized Cross-nonlinear materials affected by gravitationally swirling disk
  44. Design and prediction of high optical density photovoltaic polymers using machine learning-DFT studies
  45. Robust control and preservation of quantum steering, nonlocality, and coherence in open atomic systems
  46. Coating thickness and process efficiency of reverse roll coating using a magnetized hybrid nanomaterial flow
  47. Dynamic analysis, circuit realization, and its synchronization of a new chaotic hyperjerk system
  48. Decoherence of steerability and coherence dynamics induced by nonlinear qubit–cavity interactions
  49. Finite element analysis of turbulent thermal enhancement in grooved channels with flat- and plus-shaped fins
  50. Modulational instability and associated ion-acoustic modulated envelope solitons in a quantum plasma having ion beams
  51. Statistical inference of constant-stress partially accelerated life tests under type II generalized hybrid censored data from Burr III distribution
  52. On solutions of the Dirac equation for 1D hydrogenic atoms or ions
  53. Entropy optimization for chemically reactive magnetized unsteady thin film hybrid nanofluid flow on inclined surface subject to nonlinear mixed convection and variable temperature
  54. Stability analysis, circuit simulation, and color image encryption of a novel four-dimensional hyperchaotic model with hidden and self-excited attractors
  55. A high-accuracy exponential time integration scheme for the Darcy–Forchheimer Williamson fluid flow with temperature-dependent conductivity
  56. Novel analysis of fractional regularized long-wave equation in plasma dynamics
  57. Development of a photoelectrode based on a bismuth(iii) oxyiodide/intercalated iodide-poly(1H-pyrrole) rough spherical nanocomposite for green hydrogen generation
  58. Investigation of solar radiation effects on the energy performance of the (Al2O3–CuO–Cu)/H2O ternary nanofluidic system through a convectively heated cylinder
  59. Quantum resources for a system of two atoms interacting with a deformed field in the presence of intensity-dependent coupling
  60. Studying bifurcations and chaotic dynamics in the generalized hyperelastic-rod wave equation through Hamiltonian mechanics
  61. A new numerical technique for the solution of time-fractional nonlinear Klein–Gordon equation involving Atangana–Baleanu derivative using cubic B-spline functions
  62. Interaction solutions of high-order breathers and lumps for a (3+1)-dimensional conformable fractional potential-YTSF-like model
  63. Hydraulic fracturing radioactive source tracing technology based on hydraulic fracturing tracing mechanics model
  64. Numerical solution and stability analysis of non-Newtonian hybrid nanofluid flow subject to exponential heat source/sink over a Riga sheet
  65. Numerical investigation of mixed convection and viscous dissipation in couple stress nanofluid flow: A merged Adomian decomposition method and Mohand transform
  66. Effectual quintic B-spline functions for solving the time fractional coupled Boussinesq–Burgers equation arising in shallow water waves
  67. Analysis of MHD hybrid nanofluid flow over cone and wedge with exponential and thermal heat source and activation energy
  68. Solitons and travelling waves structure for M-fractional Kairat-II equation using three explicit methods
  69. Impact of nanoparticle shapes on the heat transfer properties of Cu and CuO nanofluids flowing over a stretching surface with slip effects: A computational study
  70. Computational simulation of heat transfer and nanofluid flow for two-sided lid-driven square cavity under the influence of magnetic field
  71. Irreversibility analysis of a bioconvective two-phase nanofluid in a Maxwell (non-Newtonian) flow induced by a rotating disk with thermal radiation
  72. Hydrodynamic and sensitivity analysis of a polymeric calendering process for non-Newtonian fluids with temperature-dependent viscosity
  73. Exploring the peakon solitons molecules and solitary wave structure to the nonlinear damped Kortewege–de Vries equation through efficient technique
  74. Modeling and heat transfer analysis of magnetized hybrid micropolar blood-based nanofluid flow in Darcy–Forchheimer porous stenosis narrow arteries
  75. Activation energy and cross-diffusion effects on 3D rotating nanofluid flow in a Darcy–Forchheimer porous medium with radiation and convective heating
  76. Insights into chemical reactions occurring in generalized nanomaterials due to spinning surface with melting constraints
  77. Influence of a magnetic field on double-porosity photo-thermoelastic materials under Lord–Shulman theory
  78. Soliton-like solutions for a nonlinear doubly dispersive equation in an elastic Murnaghan's rod via Hirota's bilinear method
  79. Analytical and numerical investigation of exact wave patterns and chaotic dynamics in the extended improved Boussinesq equation
  80. Nonclassical correlation dynamics of Heisenberg XYZ states with (x, y)-spin--orbit interaction, x-magnetic field, and intrinsic decoherence effects
  81. Exact traveling wave and soliton solutions for chemotaxis model and (3+1)-dimensional Boiti–Leon–Manna–Pempinelli equation
  82. Unveiling the transformative role of samarium in ZnO: Exploring structural and optical modifications for advanced functional applications
  83. On the derivation of solitary wave solutions for the time-fractional Rosenau equation through two analytical techniques
  84. Analyzing the role of length and radius of MWCNTs in a nanofluid flow influenced by variable thermal conductivity and viscosity considering Marangoni convection
  85. Advanced mathematical analysis of heat and mass transfer in oscillatory micropolar bio-nanofluid flows via peristaltic waves and electroosmotic effects
  86. Exact bound state solutions of the radial Schrödinger equation for the Coulomb potential by conformable Nikiforov–Uvarov approach
  87. Some anisotropic and perfect fluid plane symmetric solutions of Einstein's field equations using killing symmetries
  88. Nonlinear dynamics of the dissipative ion-acoustic solitary waves in anisotropic rotating magnetoplasmas
  89. Curves in multiplicative equiaffine plane
  90. Exact solution of the three-dimensional (3D) Z2 lattice gauge theory
  91. Propagation properties of Airyprime pulses in relaxing nonlinear media
  92. Symbolic computation: Analytical solutions and dynamics of a shallow water wave equation in coastal engineering
  93. Wave propagation in nonlocal piezo-photo-hygrothermoelastic semiconductors subjected to heat and moisture flux
  94. Comparative reaction dynamics in rotating nanofluid systems: Quartic and cubic kinetics under MHD influence
  95. Laplace transform technique and probabilistic analysis-based hypothesis testing in medical and engineering applications
  96. Physical properties of ternary chloro-perovskites KTCl3 (T = Ge, Al) for optoelectronic applications
  97. Gravitational length stretching: Curvature-induced modulation of quantum probability densities
  98. The search for the cosmological cold dark matter axion – A new refined narrow mass window and detection scheme
  99. A comparative study of quantum resources in bipartite Lipkin–Meshkov–Glick model under DM interaction and Zeeman splitting
  100. PbO-doped K2O–BaO–Al2O3–B2O3–TeO2-glasses: Mechanical and shielding efficacy
  101. Nanospherical arsenic(iii) oxoiodide/iodide-intercalated poly(N-methylpyrrole) composite synthesis for broad-spectrum optical detection
  102. Sine power Burr X distribution with estimation and applications in physics and other fields
  103. Numerical modeling of enhanced reactive oxygen plasma in pulsed laser deposition of metal oxide thin films
  104. Dynamical analyses and dispersive soliton solutions to the nonlinear fractional model in stratified fluids
  105. Computation of exact analytical soliton solutions and their dynamics in advanced optical system
  106. An innovative approximation concerning the diffusion and electrical conductivity tensor at critical altitudes within the F-region of ionospheric plasma at low latitudes
  107. An analytical investigation to the (3+1)-dimensional Yu–Toda–Sassa–Fukuyama equation with dynamical analysis: Bifurcation
  108. Swirling-annular-flow-induced instability of a micro shell considering Knudsen number and viscosity effects
  109. Numerical analysis of non-similar convection flows of a two-phase nanofluid past a semi-infinite vertical plate with thermal radiation
  110. MgO NPs reinforced PCL/PVC nanocomposite films with enhanced UV shielding and thermal stability for packaging applications
  111. Optimal conditions for indoor air purification using non-thermal Corona discharge electrostatic precipitator
  112. Investigation of thermal conductivity and Raman spectra for HfAlB, TaAlB, and WAlB based on first-principles calculations
  113. Tunable double plasmon-induced transparency based on monolayer patterned graphene metamaterial
  114. DSC: depth data quality optimization framework for RGBD camouflaged object detection
  115. A new family of Poisson-exponential distributions with applications to cancer data and glass fiber reliability
  116. Numerical investigation of couple stress under slip conditions via modified Adomian decomposition method
  117. Monitoring plateau lake area changes in Yunnan province, southwestern China using medium-resolution remote sensing imagery: applicability of water indices and environmental dependencies
  118. Heterodyne interferometric fiber-optic gyroscope
  119. Exact solutions of Einstein’s field equations via homothetic symmetries of non-static plane symmetric spacetime
  120. A widespread study of discrete entropic model and its distribution along with fluctuations of energy
  121. Empirical model integration for accurate charge carrier mobility simulation in silicon MOSFETs
  122. The influence of scattering correction effect based on optical path distribution on CO2 retrieval
  123. Anisotropic dissociation and spectral response of 1-Bromo-4-chlorobenzene under static directional electric fields
  124. Role of tungsten oxide (WO3) on thermal and optical properties of smart polymer composites
  125. Analysis of iterative deblurring: no explicit noise
  126. Review Article
  127. Examination of the gamma radiation shielding properties of different clay and sand materials in the Adrar region
  128. Erratum
  129. Erratum to “On Soliton structures in optical fiber communications with Kundu–Mukherjee–Naskar model (Open Physics 2021;19:679–682)”
  130. Special Issue on Fundamental Physics from Atoms to Cosmos - Part II
  131. Possible explanation for the neutron lifetime puzzle
  132. Special Issue on Nanomaterial utilization and structural optimization - Part III
  133. Numerical investigation on fluid-thermal-electric performance of a thermoelectric-integrated helically coiled tube heat exchanger for coal mine air cooling
  134. Special Issue on Nonlinear Dynamics and Chaos in Physical Systems
  135. Analysis of the fractional relativistic isothermal gas sphere with application to neutron stars
  136. Abundant wave symmetries in the (3+1)-dimensional Chafee–Infante equation through the Hirota bilinear transformation technique
  137. Successive midpoint method for fractional differential equations with nonlocal kernels: Error analysis, stability, and applications
  138. Novel exact solitons to the fractional modified mixed-Korteweg--de Vries model with a stability analysis
Downloaded on 31.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/phys-2024-0114/html
Scroll to top button