Abstract
Based on the positive quadratic function method, the rich nonautonomous solutions of a generalized (2+1)-dimensional variable-coefficient breaking soliton equation with different wave structures are given. In this case, due to the influence of nonlinearity and dispersion, the characteristics, amplitude and velocity of nonautonomous wave will change with time. The breather wave and the interaction among lump wave, solitary wave and periodic wave solutions are studied. For different choices of arbitrary functions in these solutions, the corresponding dynamic properties are demonstrated.
1 Introduction
In recent years, with the development of symbolic computation, people have begun to pay attention to the relevant theories of lump wave solutions [1,2, 3,4]. In 2015, Ma [5] proposed a method of directly using the Hirota bilinear method to solve lump wave solutions and gave theoretical proofs and derivations, pushing the research of lump wave solutions to a new stage. At present, many researchers have successfully constructed lump wave solutions and interaction solutions of multiple high-dimensional nonlinear development equations using this method [6,7, 8,9]. The research of these solutions has important significance and prospects for many high-dimensional nonlinear problems in mathematics, physics and other fields.
Variable coefficient integrability systems can more clearly describe real-world phenomena, such as in the context of ocean waves, the temporal variability of the variable coefficient may be due to the pressure dependence of the coefficient of thermal expansion of seawater, coupled with large-scale forward changes in ocean temperature–salinity relationship and other dynamic conditions [10]. In this article, under investigation is the generalized (2+1)-dimensional variable-coefficient breaking soliton equation [11]
where
The article is organized as follows. Section 2 investigates the interaction between lump wave and solitary wave; Section 3 studies the interaction between lump wave and periodic wave; Section 4 obtains the breather wave solutions; Section 5 gives a conclusion.
2 Interaction between lump wave and solitary wave
Under the transformation
Eq. (2) becomes
In order to investigate the interaction between lump wave and solitary wave of Eq. (1), the following assumptions are usually made
where
where
When

Solution (6) with

Solution (6) with
3 Interaction between lump wave and periodic wave
In order to study the interaction between lump wave and periodic wave of Eq. (1), the following assumptions are usually made
Substituting Eq. (7) into Eq. (3), we obtain
where
The interaction between lump wave and periodic wave is shown in Figure 3. It is easy to see from Figure 3 that with the continuous change of

Solution (9) with
4 Breather wave
In order to discuss the breather wave solution of Eq. (1), the following assumptions are usually made
where
where
Figure 4 demonstrates the dynamic properties of breather wave solution when variable coefficient

Solution (12) with

Solution (12) with

Solution (12) with
5 Conclusion
In this work, we investigate a generalized (2+1)-dimensional variable-coefficient breaking soliton equation. Rich nonautonomous solutions with different wave structures are obtained by using the positive quadratic function method and symbolic computation [13,14,15, 16,17,18, 19,20,21, 22,23,24, 25,26,27]. The breather wave and the interaction among lump wave, solitary wave and periodic wave solutions are studied. The dynamic properties are shown in Figures 1–6. The breather wave and the interaction among lump wave, solitary wave and periodic wave solutions in this work can also be constructed by using the bilinear neural network method [28,29,30]. The assumptions used in this article contain more arbitrary parameters, which can be used to describe more complex physical background and obtain more different forms of solutions. The method is simple, direct and effective. If the bilinear form of a nonlinear partial differential equation can be obtained, the method of this article can be used to solve the equation.
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Funding information: The authors state no funding involved.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Conflict of interest: The authors state no conflict of interest.
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Data availability statement: Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
References
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© 2022 Kun-Qiong Li, published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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