English

Asymptotic behavior of mass-critical Schr\"odinger equation in $ \mathbb{R}$

Analysis of PDEs 2025-07-24 v1

Abstract

In this paper, we study the long-time behavior for the mass-critical nonlinear Schr\"odinger equation on the line itu+x2u=u4u,u(0,x)=u0Lx2(R). i\partial_t u + \partial_x^2 u = |u|^4 u, u(0, x) = u_0 \in L_x^2(\Bbb R). The global well-posedness and scattering for this equation was solved in Dodson [Amer. J. Math. (2016)]. Inspired by the pioneering work of Killip-Visan-Zhang [Amer. J. Math. (2021)], we show that solution can be approximated by a finite-dimensional Hamiltonian system. This system is the nonlinear Schr\"odinger equation on the rescaled torus R/(LnZ)\Bbb R/(L_n\Bbb Z) with Fourier truncated nonlinear term. To prove this, we introduce the Fourier truncated mass-critical NLS on R\mathbb{R}. First, we establish the uniformly global space-time bound for this truncated model on R\mathbb{R}. Second, we show that the truncated NLS on rescaled torus can be approximated by the truncated equation on R\Bbb R. Then, using the Gromov theorem, we can show the non-squeezing property for the truncated NLS on torus. The last step to show the non-squeezing property for original NLS is to connect the solution with truncated nonlinearity and a single equation in R\mathbb{R}, which can be done by performing the nonlinear profile decomposition. Our second result is to study the homogenization of the mass-critical inhomogeneous NLS, where we add a LL^\infty function h(nx)h(nx) in front of the nonlinear term. Based on the method of Ntekoume [Comm. PDE, (2020)], we give the sufficient condition on hh such that the scattering holds for this inhomogeneous model and show that the solution to inhomogeneous converges to the homogeneous model when nn\to\infty. As a corollary, we can transfer the non-squeezing property from homogeneous model to inhomogeneous.

Keywords

Cite

@article{arxiv.2507.17463,
  title  = {Asymptotic behavior of mass-critical Schr\"odinger equation in $ \mathbb{R}$},
  author = {Fanfei Meng and Yilin Song and Ruixiao Zhang},
  journal= {arXiv preprint arXiv:2507.17463},
  year   = {2025}
}