On long-time asymptotics of solution to the non-local Lakshmanan-Porsezian-Daniel equation with step-like initial data
Wen-Yu Zhou, Shou-Fu Tian, Xiao-Fan Zhang
Source abstract
The non-linear steepest descent method is employed to study the long-time asymptotics of solution to the non-local Lakshmanan-Porsezian-Daniel equation with step-like initial data where is an arbitrary positive constant. We first construct the basic Riemann-Hilbert (RH) problem. After that, to eliminate the influence of singularities, we use the Blaschke-Potapov factor to deform the original RH problem into a regular RH problem which can be clearly solved. Then different asymptotic behaviors on the whole -plane are analyzed in detail. In the region with , there are three real saddle points due to which the asymptotic behaviors have a more complicated error term. We prove that the asymptotic solution constructed by the leading and error terms depends on the values of , , where , , , , are the reflection coefficients and are the saddle points of the phase function . Besides, the leading term is characterized by parabolic cylinder functions and satisfies boundary conditions. In the region with , there are one real and two conjugate complex saddle points. Based on the positions of these points, we improve the extension forms of the jump contours and successfully obtain the large-time asymptotic results of the solution in this case.
Evidence graph
No public relationships recorded yet.
Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.