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Predictability, fast calculation and simulation for the interaction solutions to the cylindrical Kadomtsev-Petviashvili equation
•A new approach is proposed to search for the interaction solutions, which can decrease the complexity of the associated nonlinear algebraic equations via reducing the number of the variables.•The fast calculation approach provides the condition for the predictability of the interaction solution.•In...
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Published in: | Communications in nonlinear science & numerical simulation 2020-11, Vol.90, p.105260, Article 105260 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •A new approach is proposed to search for the interaction solutions, which can decrease the complexity of the associated nonlinear algebraic equations via reducing the number of the variables.•The fast calculation approach provides the condition for the predictability of the interaction solution.•Interaction phenomena between lump wave and a stipe, and lump wave and soliton solution are discussed and numerically simulated.
The cylindrical Kadomtsev-Petviashvili (cKP) equation related to cylindrical geometry, as one type of the variable-coefficient KP equation, is widely used to describe nonlinear phenomena in fluid, plasma and other fields. With symbolic computation, we have derived the multi-soliton solutions, rational solutions, lump solutions and interaction solutions to the cKP equation based on its bilinear representation. The interaction solutions include two types: The interaction between lump and stripe, and the interaction between lump and soliton. Moreover, we have proposed a new approach to search for the interaction solutions, which can decrease the complexity of the associated nonlinear algebraic equations via reducing the number of the variables. The fast calculation approach provides the condition for the predictability of the interaction solution. |
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ISSN: | 1007-5704 1878-7274 |
DOI: | 10.1016/j.cnsns.2020.105260 |