中文

Long-time stability for nonlinear Maryland models

数学物理 2026-05-20 v2 动力系统 math.MP

摘要

For the dd-dimensional nonlinear Maryland model \begin{equation}\label{eq-abs} \ri\partial_t q_n=\tan\pi(n\cdot\varpi+x)q_n+\epsilon(\Delta q)_n+|q_n|^2q_n,\quad n\in{\Z^d}, \end{equation} with dNd\in\N^*, ϵR\epsilon\in \R and ϖRd\varpi\in\R^d satisfying a suitable Diophantine condition, we establish polynomial long-time stability of polynomially weighted 2\ell^2-norm q(t)s:=(nZdqn2(1+n2)s)12,s>0.\|q(t)\|_s:=\left(\sum_{n\in{\Z^d}}|q_n|^2 (1+|n|^2)^{s}\right)^{\frac{1}{2}},\quad s>0. More precisely, given any MNM_*\in\N^*, for phase parameters xx belonging to an almost full-measure subset of R/Z\R/\Z, if ϵ|\epsilon| is sufficiently small, then solutions q(t)q(t) of Eq. (\ref{eq-abs}) with high-order weighted 2\ell^2-norm q(0)s\|q(0)\|_s of sufficiently small size ε\varepsilon satisfy q(t)s=\CO(ε), tϵ1εM.\|q(t)\|_s=\CO(\varepsilon),\quad \forall \ |t|\leq \epsilon^{-1}\varepsilon^{-M_*}. The proof relies on a Birkhoff normal form procedure.

引用

@article{arxiv.2605.16624,
  title  = {Long-time stability for nonlinear Maryland models},
  author = {Ruijie Cui and Zhiyan Zhao},
  journal= {arXiv preprint arXiv:2605.16624},
  year   = {2026}
}

备注

The result is covered by a submitted preprint (not on arXiv)