Inverse scattering transform of the focusing Lakshmanan–Porsezian–Daniel equation with fully asymmetric nonzero boundary conditions
Feng Zhang,
Pengfei Han and
Yi Zhang
Mathematics and Computers in Simulation (MATCOM), 2026, vol. 239, issue C, 1062-1081
Abstract:
This work applies the inverse scattering transform approach to investigate the initial value problem of the focusing Lakshmanan–Porsezian–Daniel equation with fully asymmetric nonzero boundary conditions (i.e., when the asymptotic phases and amplitudes are asymmetric at spatial infinity). In the context of the direct problem, the analyticity properties and symmetry relations of the Jost solutions and scattering coefficients are thoroughly explored without introducing a uniformization variable, and their asymptotic behavior as the scattering parameter tends to infinity is derived. Furthermore, the inverse problem is formulated using the Marchenko integral equations and the matrix Riemann–Hilbert problem on the single sheet of the scattering variables. Finally, the time evolutions of the scattering coefficients and eigenfunctions are constructed, demonstrating their nontrivial dependence on time.
Keywords: Focusing Lakshmanan–Porsezian–Daniel equation; Inverse scattering transform; Fully asymmetric nonzero boundary conditions (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475425003052
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:239:y:2026:i:c:p:1062-1081
DOI: 10.1016/j.matcom.2025.07.039
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().