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The Riemann Hilbert dressing method and wave breaking for two (2 + 1)-dimensional integrable equations

  • Huanhuan Lu , Xinan Ren , Yufeng Zhang EMAIL logo and Hongyi Zhang
Published/Copyright: August 13, 2024

Abstract

In this article, we present a method for generating (2 + 1)-dimensional integrable equations, resulting in the generalized Pavlov equation and dispersionless Kadomtsev–Petviashvili (dKP) equation, which can further be reduced to the standard Pavlov equation and dKP equation. Inspired by the inverse spectral transform presented in existing literature, we introduce the Riemann–Hilbert (RH) dressing method to construct the formal solutions of the Cauchy problems for the generalized Pavlov equation and dKP equation, providing a spectral representation of the solutions. Subsequently, we also extensively investigate the longtime behavior of solutions to these two equations in specific space regions. In particular, for the generalized dKP equation, we conduct a dedicated study on its implicit solutions expressed by arbitrary differential function through linearizing their RH problems. In the final section, we elaborate in detail on the analytic aspects of the wave breaking of a localized two-dimensional wave evolving according to the Hopf equation. With the assistance of a transformation, the longtime breaking of solutions to the generalized dKP equation can then be further characterized.


Corresponding author: Yufeng Zhang, School of Mathematics and Information Sciences, Weifang University, Weifang 261061, P.R. China, E-mail: 

Funding source: National Natural Science Foundation of China

Award Identifier / Grant number: No. 12371256

Funding source: SuQian Sci&Tech Program

Award Identifier / Grant number: No. K202225

Funding source: Graduate Innovation Program of China University of Mining and Technology

Award Identifier / Grant number: No.2024WLKXJ114

Funding source: Postgraduate Research & Practice Innovation Program of Jiangsu Province

Award Identifier / Grant number: No.KYCX24 2673

  1. Research ethics: Not applicable.

  2. Author contributions: Huanhuan Lu: writing – original draft, methodology, formal analysis, funding acquisition; Xinan Ren: formal analysis; Yufeng Zhang: formal analysis, funding acquisition. Hongyi Zhang: software.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: This work was supported by the National Natural Science Foundation of China (grant No. 12371256); the SuQian Sci&Tech Program (grant No. K202225); the Graduate Innovation Program of China University of Mining and Technology (No. 2024WLKXJ114); the Postgraduate Research & Practice Innovation Program of Jiangsu Province (No. KYCX24 2673).

  5. Data availability: Not applicable.

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Received: 2024-04-08
Accepted: 2024-07-06
Published Online: 2024-08-13

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