On long-time asymptotics to the nonlocal Lakshmanan -Porsezian-Daniel equation with step-like initial data
Wen-yu zhou, Shou-Fu Tian, Xiao-fan Zhang

TL;DR
This paper employs the nonlinear steepest descent method to analyze the long-time behavior of solutions to the nonlocal Lakshmanan-Porsezian-Daniel equation with step-like initial data, revealing detailed asymptotic structures.
Contribution
It develops a matrix Riemann-Hilbert problem framework and introduces the Blaschke-Potapov factor to handle singularities, enabling asymptotic analysis of the nonlocal LPD equation.
Findings
Derived long-time asymptotics for the nonlocal LPD equation
Constructed a regular Riemann-Hilbert problem using BP factor
Analyzed asymptotics for different spatial regions based on phase points
Abstract
In this work, the nonlinear steepest descent method is employed to study the long-time asymptotics of the integrable nonlocal Lakshmanan-Porsezian-Daniel (LPD) equation with a step-like initial data: as and as , where is an arbitrary positive constant. Firstly, we develop a matrix Riemann-Hilbert (RH) problem to represent the Cauchy problem of LPD equation. To remove the influence of singularities in this RH problem, we introduce the Blaschke-Potapov (BP) factor, then the original RH problem can be transformed into a regular RH problem which can be solved by the parabolic cylinder functions. Besides, under the nonlocal condition with symmetries and , we give the asymptotic analyses at and , respectively. Finally, we derive the long-time asymptotics of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Waves and Solitons · Fractional Differential Equations Solutions · Algebraic structures and combinatorial models
