Data-driven Soliton Manifold Approximations for Dark and Bright Waves: Some Prototypical 1d Case Examples
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866915556086513664 |
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| author | Yang, Su Chen, Shaoxuan Zhu, Wei Kevrekidis, Panayotis G. |
| author_facet | Yang, Su Chen, Shaoxuan Zhu, Wei Kevrekidis, Panayotis G. |
| contents | In this paper, we revisit the investigation of solitary-wave interactions in the nonlinear Schrödinger model, both in the presence and absence of a parabolic trapping potential. While approximate dynamics, based on variational or similar methods, governed by a system of ordinary differential equations (ODEs) for both bright and dark-soliton interactions have been well established in the literature based on physical expert considerations, this study focuses on a data-driven approach, the so-called Sparse Identification of Nonlinear Dynamics (SINDy). Accordingly, our purpose is to use PDE time-series of select waveform diag- nostics in order to numerically reconstruct such approximate dynamics, without prior knowledge thereof. The purpose is not only to verify the robustness of the dynamical approximated ODEs, but also to shed light on the application of such a data-driven methodology in the study of soliton interactions and to formu- late a complementary approach, more reliant on the wealth of PDE data and less so on expert theoretical constructs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_13566 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Data-driven Soliton Manifold Approximations for Dark and Bright Waves: Some Prototypical 1d Case Examples Yang, Su Chen, Shaoxuan Zhu, Wei Kevrekidis, Panayotis G. Pattern Formation and Solitons In this paper, we revisit the investigation of solitary-wave interactions in the nonlinear Schrödinger model, both in the presence and absence of a parabolic trapping potential. While approximate dynamics, based on variational or similar methods, governed by a system of ordinary differential equations (ODEs) for both bright and dark-soliton interactions have been well established in the literature based on physical expert considerations, this study focuses on a data-driven approach, the so-called Sparse Identification of Nonlinear Dynamics (SINDy). Accordingly, our purpose is to use PDE time-series of select waveform diag- nostics in order to numerically reconstruct such approximate dynamics, without prior knowledge thereof. The purpose is not only to verify the robustness of the dynamical approximated ODEs, but also to shed light on the application of such a data-driven methodology in the study of soliton interactions and to formu- late a complementary approach, more reliant on the wealth of PDE data and less so on expert theoretical constructs. |
| title | Data-driven Soliton Manifold Approximations for Dark and Bright Waves: Some Prototypical 1d Case Examples |
| topic | Pattern Formation and Solitons |
| url | https://arxiv.org/abs/2510.13566 |