English

Long time and Painlev\'{e}-type asymptotics for the defocusing Hirota equation with finite density initial data

Exactly Solvable and Integrable Systems 2023-09-11 v2 Analysis of PDEs

Abstract

In this work, we consider the Cauchy problem for the defocusing Hirota equation with a nonzero background \begin{align} \begin{cases} iq_{t}+\alpha\left[q_{xx}-2\left(\left\vert q\right\vert^{2}-1\right)q\right]+i\beta\left(q_{xxx}-6\left\vert q\right\vert^{2}q_{x}\right)=0,\quad (x,t)\in \mathbb{R}\times(0,+\infty),\\ q(x,0)=q_{0}(x),\qquad \underset{x\rightarrow\pm\infty 1}{\lim} q_{0}(x)=\pm 1, \qquad q_{0}\mp 1\in H^{4,4}(\mathbb{R}). \end{cases} \nonumber \end{align} According to the Riemann-Hilbert problem representation of the Cauchy problem and the ˉ\bar{\partial} generalization of the nonlinear steepest descent method, we find different long time asymptotics types for the defocusing Hirota equation in oscillating region and transition region, respectively. For the oscillating region ξ<8\xi<-8, four phase points appear on the jump contour R\mathbb{R}, which arrives at an asymptotic expansion,given by \begin{align} q(x,t)=-1+t^{-1/2}h+O(t^{-3/4}).\nonumber \end{align} It consists of three terms. The first term 1-1 is leading term representing a nonzero background, the second term t1/2ht^{-1/2}h originates from the continuous spectrum and the third term O(t3/4)O(t^{-3/4}) is the error term due to pure ˉ\bar{\partial}-RH problem. For the transition region ξ+8t2/3<C\vert\xi+8\vert t^{2/3}<C, three phase points raise on the jump contour R\mathbb{R}. Painlev\'{e} asymptotics expansion is obtained \begin{align} q(x,t)=-1-(\frac{15}{4}t)^{-1/3}\varrho+O(t^{-1/2}),\nonumber \end{align} in which the leading term is a solution to the Painlev\'{e} II equation, the last term is a residual error being from pure ˉ\bar{\partial}-RH problem and parabolic cylinder model.

Keywords

Cite

@article{arxiv.2307.15722,
  title  = {Long time and Painlev\'{e}-type asymptotics for the defocusing Hirota equation with finite density initial data},
  author = {Wei-Qi Peng and Yong Chen},
  journal= {arXiv preprint arXiv:2307.15722},
  year   = {2023}
}
R2 v1 2026-06-28T11:43:06.209Z