1. Introduction
2. Modified formal variable separation approach
1. | (1) Determination of admissible values: by analyzing the terms in the (2+1)-dimensional PDE and comparing their magnitudes, suitable values of integers m and n in equations ( |
2. | (2) Substitution analysis: substituting the decomposed forms into the PDE and the integrability condition ( |
3. | (3) Solutions for F and G: by solving the system of equations from step (2), the functions F and G are determined, resulting in the desired decomposition solutions, the corresponding BT and Lax pair. |
3. The decomposition solutions, Bäcklund transformation, Lax pair and linear superposition solutions of the potential BKP equation
If w satisfies the decomposition system of the consistent variable coefficient potential Korteweg–de Vries (KdV) equation
The arbitrary parameter a plays a crucial role in determining whether the function v, defined by equations (
Considering the decomposition presented in theorem
We hereby present an additional corollary stemming from theorem
By considering the functions v and w determined through equations (
The implications derived from Corollaries
(Bäcklund Transformation) The decomposition relation
The BT exhibits a distinctive characteristic in the form of a conservation law
It is notable that each of the two corollaries and theorem
Let the function w be a solution to the consistent variable coefficient Svinolupov–Sokolov (SS) system
The potential BKP equation (
The variable coefficient potential SK decomposition solution of the potential BKP equation (
Suppose that arbitrary functions ${m}_{i}=0,i=1,2,...,4$, then by theorems
If a BT represents one of the different aspects of the property of integrability for a PDE, the existence of a linear combination principle further allows explicitly building some classes of solutions depending on the decomposition system (
If v1 and v2 are solutions of the variable coefficient potential KdV decompositions
In general, the functions v1 and v2 presented in theorem
4. The decomposition solutions, Bäcklund transformation and Lax pair of the potential CKP equation
(Bäcklund Transformation) Let v be an arbitrary solution of the potential CKP equation (
The function w is a solution of the potential CKP equation (
The potential CKP equation (
The variable coefficient potential KK decomposition solution of the potential CKP equation (
The proof of theorems
Overall, the decomposition technology offers advantages in:
1. | (1) Simplifying analysis: by decomposing the higher-dimensional equation into a lower-dimensional system, the analysis becomes more manageable and can be tackled using techniques specifically designed for lower-dimensional systems. This simplification aids in understanding the behavior and properties of the system under consideration. |
2. | (2) Enhancing solvability: variable coefficient potential decompositions can lead to equations with more structured forms, making them potentially easier to solve. This can facilitate the study of the system's solutions, stability, and other important characteristics. |
3. | (3) Providing insights into system dynamics: by breaking down the original equation into two separate equations, each focusing on different aspects of the system, this separation can help in identifying and understanding the individual contributions of different factors affecting the system's behavior. |
4. | (4) Allowing for flexible parameter analysis: variable coefficient decompositions allow for a more flexible analysis of the system's behavior under varying conditions. By studying how the coefficients affect the solutions, researchers can gain a deeper understanding of the system's response to different parameters and external influences. |
5. | (5) Finding practical applications in the study of physical systems: this decomposition technique finds applications in various physical systems where the higher-dimensional equation arises, such as in the study of wave propagation, fluid dynamics, and quantum mechanics. The insights gained from the variable coefficient decompositions can be applied to understand and predict the behavior of these systems in real-world scenarios. |