English

Optimal small data Scattering for the generalized derivative nonlinear Schr\"odinger equations

Analysis of PDEs 2020-06-15 v3

Abstract

In this work, we consider the following generalized derivative nonlinear Schr\"odinger equation \begin{align*} i\partial_t u+\partial_{xx} u +i |u|^{2\sigma}\partial_x u=0, \quad (t,x)\in \mathbb R\times \mathbb R. \end{align*} We prove that when σ2\sigma\ge 2, the solution is global and scattering when the initial data is small in Hs(R)H^s(\mathbb R), 12s1\frac 12\leq s\leq1. Moreover, we show that when 0<σ<20<\sigma<2, there exist a class of solitary wave solutions {ϕc}\{\phi_c\} satisfying ϕcH1(R)0, \|\phi_c\|_{H^1(\mathbb R)}\to 0, when cc tends to some endpoint, which is against the small data scattering statement. Therefore, in this model, the exponent σ2\sigma\ge2 is optimal for small data scattering. We remark that this exponent is larger than the short range exponent and the Strauss exponent.

Keywords

Cite

@article{arxiv.1811.01360,
  title  = {Optimal small data Scattering for the generalized derivative nonlinear Schr\"odinger equations},
  author = {Ruobing Bai and Yifei Wu and Jun Xue},
  journal= {arXiv preprint arXiv:1811.01360},
  year   = {2020}
}

Comments

26 pages

R2 v1 2026-06-23T05:03:27.980Z