1 Introduction
As we all know, nonlinear partial differential equation models are applied to almost every corner of social life. For example, various nonlinear soliton equations can be used to describe wave phenomena in many natural sciences and engineering fields such as fluid physics, solid state physics, laser physics, astrophysics, geophysics, lattice vibration, optical fiber communication, quantum mechanics, geomechanics, oceanography, superconductivity, field theory, transportation, etc. Since fractional order nonlinear systems can describe these nonlinear processes more accurately than integer order systems, studying the solution of fractional order nonlinear systems is particularly important in the development of natural sciences, and has always been a hot topic for domestic and foreign scholars. Till now, people have given many forms of fractional derivative definitions for different situations. For example, Riemann-Liouville definition [1], Caputo definition [2], Jumaries’s definition [3], Atangana’s definition [4], Atangana-Baleanu-Riemann definition [5], conformable definition [6], Abu-Shady-Kaabar definition [7], He’s definition [8], etc. [9–15]. Each definition has its own advantages and disadvantages, for example, the Riemann-Liouville definition is to consider the derivative of the integral factor, the Caputo definition is to consider the integration of the derivative factor, the Jumaries’s definition is to consider the influence of the initial value and the He’s definition takes into account the more general problem of initial values, etc., and their efficiency varies in the process of solving some specific problems. In order to find the analytical solutions of nonlinear fractional partial differential equations, many domestic and foreign scholars have made great efforts, and the existing methods mainly include the Bäcklund transformation method [16], the homogeneous equilibrium method [17], the Riccati equation expansion method [18], the F-expansion method [19], the Jacobi elliptic function expansion method [20], the generalized expansion method [21], the Darboux transform method [22], the Lie symmetry method [23], the Adomian decomposition method [24], The homotopy perturbation method [25], the variational iterative method [26], and so on [27–29]. These methods have their own advantages and characteristics, providing powerful tools for exploring the solutions of complex nonlinear equations.
Furthermore, the applications of these solutions are not limited to traditional fields. In the era of rapid development of nano/micro technology, they have potential applications in nano/micro devices and systems, especially in MEMS (Micro-Electro-Mechanical Systems) [30]. MEMS technology combines mechanical elements, sensors, actuators, and electronics on a microscale, and understanding the behavior of fractional partial differential equations can contribute to the design, optimization, and performance improvement of MEMS devices [31]. For example, in the field of sensors, fractional order models can help analyze and predict the response of micro-sensors to various stimuli more accurately. In actuators, the solutions of fractional equations can provide insights into the dynamic behavior and control strategies [32]. Additionally, in integrated micro-systems, the understanding of fractional order phenomena can enhance the functionality and reliability of the overall system [33, 34].
The study of fractional order nonlinear partial differential equations and their solutions is not only of theoretical significance but also has practical applications in a wide range of fields, especially in the emerging field of nano/micro devices and systems such as MEMS. Our research is based on the definition of M-fractional derivative proposed by Sousa and Oliveira recently [35], this new fractional derivative definition generalizes the conformable derivative by a truncated Mittag-Leffler function of one parameter [6]. By adopting the ideas of generalized Jacobi elliptic function method [36], modified -expansion method [38, 39] and -expansion method [40], using the homogeneous equilibrium principle [41] and mathematical symbolic calculation software, to study a class of generalized time-space fractional coupled Hirota-Satsuma KdV system arising in interaction of two long waves with different dispersion effects under the definition of M-fractional derivative,
where mean the M-fractional derivative [35, 39, 42, 43], If we select , we get the well-known integer order coupled Hirota-Satsuma KdV equation. The equation is mainly used to describe the interaction between two columns of long waves with different dispersion relations [44]. Ref. [45] studies the case when , and Ref. [46] obtains the general form when through a matrix spectrum problem. Ref. [47] studies its elliptic sine function solution by direct expansion method. Refs. [48, 49] use the modified Riccati expansion method and the extended elliptic function expansion method to study its exact solutions in various forms. Ref. [50] studies the Darboux transformation of the equation, and the branch structure of the equation is studied by the theory of plane dynamic system in reference [51]. Under the definition of conformable fractional derivative with , Ref. [52] studies the analytical solutions of system (1) by using auxiliary equation method and series expansion method, and Ref. [53] uses expansion method to study the solitary wave solution and trigonometric function periodic solution of system (1). Additional relevant studies on the system can be referred to Refs. [54–58]. Let’s first introduce several relevant definitions and properties.
Definition 1. For a function , We defined the M-fractional derivative operator of of order as [35].
where is a Mittag-Leffler function of parameter .
Property 1. The M-fractional derivative operator of of order have the following important properties [35, 39, 42, 43]:
(1)
(2)
(3)
(4)
(5)
Definition 2. The M-fractional derivative system (1) determined by Definition 1 and Equation 2 performs the following travelling wave transformation:
where are undetermined constants, are arbitrary constants.
Substituting Equations 3, 4 into Equation 1, we obtain the following system of ordinary differential equations:
where
2 Description of the two methods
2.1 The modified -expansion method
Consider the following nonlinear M-fractional nonlinear partial differential equations:
By using the wave transformation (4), Equation 6 is converted into a nonlinear ordinary differential equations (ODE):
Assume that Equation 7 has the following solution:
where are balance numbers, , and variable function are determined later. The is a solution of the following auxiliary ODE:
where is an arbitrary real number. It satisfies the following constrained conditions:
where arbitrary constants satisfied the relation Equations 9, 10 admit the following solutions
Case 1: When , we have , thus
Case 2: When , we have , thus
Substituting Equations 8, 10 into Equation 7 and setting coefficients of to zero yield a set of algebraic equations (AEs) for . After solving the AEs and substituting each of the solutions from Equations 11, 12 along with (4) into Equation 1, we can get the analytical solutions of Equation 1.
2.2 The -expansion method
Assume that Equation 7 has the following solution
where are balance numbers. Parameters are determined later. satisfies the following second-order ordinary differential equation:
Set , then satisfies
Equations 14, 15 admit the following solutions.
Case 1: When , we have the solitary wave solution
Case 2: When , we have the periodic wave solution
Case 3: When , we have the rational function solution
Substituting Equations 13, 15 into Equation 7 and setting coefficients of zero yield a set of AEs for , after solving the AEs with the aid of mathematical software, the wave solutions of Equation 1 can be obtained by these solutions and Equations 4, 16–21.
3 Exact solutions to the Hirota-Satsuma KdV equation
3.1 Solving Eq. (1) by the modified -expansion method
From the homogeneous equilibrium principle [41], we can get in Equation 8. We assume that Equation 5 has solutions in the following form
where are undetermined constants.
Substituting Equations 22, 10 into Equation 5, and setting the coefficients of to zero yield a set of algebraic equations (AEs) for .
Solving the equations by Mathematical software can get the following solutions, where the unstated parameters are taking any constant.
Case 1: When ,
According to Equations 4, 11, 22, we can get the solutions of Equation 1 when
Case 2: when ,
According to Equations 4, 11, 22, we could get solutions of the system (1) as
By selecting different parameters, we can get some graphical simulation including the famous bell-shape soliton solutions and blow-up pattern wave solution of system (1) in Figures 1, 2. Some simulation of the above periodic wave solutions are shown in Figures 3, 4.
3.2 Solving Eq. (1) by the -expansion method
Suppose Equation 5 has solutions of the following form:
Where are constants to be determined.
Substituting Equations 23, 15 into Equation 5, and setting the coefficients to zero, we could get a set of algebraic equations about . Without losing generality, we let :
After solving the above AEs, we can get the following solutions, where the parameters not specified are arbitrary constants.
According to Equations 4, 17, 19, 21, 23, we obtain the following solutions for system (1):
We can determine the following solutions.
Case 1: , when or .
Case 2: , when .
Case 3: , when .
Selecting different parameters, we can get some graphical simulation of above solutions (Figures 5, 6) and (Figure 7) as follows:
3.3 Results and discussion
We have obtained many types of new analytical solutions of the system (1) by two efficient methods, which include the famous bell-shaped solitary wave , this smooth solution reveals a balance of nonlinear effects and dispersion effects, the blow-up wave which is distorted between the interval (0.190, 0.192) etc. There are also many forms of periodic waves, and these periodic wave solutions embody different properties. For example, the waveform of alternates up and down in both directions, periodicity of and are only reflected in one direction. If we choose different parameters and orders, we could find that the waveform of system (1) will evolve with time . The Figures (a) and (b) in Figure 8 show the evolutionary process of with time fractional order with parameters and respectively. Numerical simulations show that the waveform shifts to the right as the time order increases, and these properties may be of great significance for revealing the internal structure of system (1). However, In MEMS, the understanding of nonlinear wave phenomena and the availability of exact solutions can contribute to the design and optimization of various components. For example, in MEMS sensors, these solutions can help analyze the response to external stimuli and improve the sensitivity and accuracy.
4 Conclusion
In conclusion, by utilizing the modified -expansion method, the -expansion method and the travelling wave transform under the definition of M fractional derivative, twelve new types of exact solutions of the generalized time-space fractional coupled Hirota-Satsuma KdV system are obtained successfully. These solutions include complex solitary wave solutions, trigonometric periodic wave solutions, and rational function solutions. These solutions can be transformed into integer order cases under special parameter selection, and they have important theoretical guiding value for profoundly revealing the interaction between two nonlinear long waves with different dispersion effects. The waveforms of partial solutions and their characteristic images of time evolution are obtained by numerical simulation. It is proved by practice that these two methods can be applied to many other nonlinear equations including the MEMS. Additionally, in integrated MEMS systems, the knowledge of these solutions can enhance the functionality and reliability. However, the proposed definition of M-fractional derivatives still has some limitations, and it is difficult to characterize the necessary connection between two real number or complex number order derivatives. On the other hand, the unified definition of fractional derivatives definition needs to be further explored and developed for us in the future. Once our definition has been substantially refined, then we work on perturbation theory, dynamical system theory, soliton theory, etc., will be better developed [63–65]. How to extend this method to discretely-coupled nonlinear systems with arbitrary subhigher dimensions is still worth further study. This will open up new avenues for exploring more complex nonlinear phenomena and expanding the application scope of these methods in the field of nano/micro devices and systems.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
YC: Funding acquisition, Investigation, Supervision, Writing–original draft, Formal Analysis. SH: Methodology, Resources, Writing–review and editing, Conceptualization, Project administration. SY: Conceptualization, Data curation, Writing–original draft, Formal Analysis, Visualization. XC: Formal Analysis, Investigation, Methodology, Resources, Writing–review and editing. JY: Conceptualization, Project administration, Visualization, Writing–original draft.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work is partially supported by the practical innovation training program projects for the university students of Jiangsu Province (Grant No. 202410299873X).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher’s note
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