English

Segregated solutions for nonlinear Schr\"odinger systems with sublinear coupling terms

Analysis of PDEs 2025-11-17 v3

Abstract

We establish the existence of infinitely many nonnegative, segregated solutions for the sublinearly coupled Schr\"odinger system \begin{equation*} \left\{\begin{aligned}-\Delta u+K_1(x)u&=\mu u^{p-1}+ (\sigma_1+1)\beta u^{\sigma_1}v^{\sigma_2+1}, &x\in\mathbb{R}^N&, -\Delta v+K_2(x)v&=\nu v^{p-1}+(\sigma_2+1)\beta u^{\sigma_1+1}v^{\sigma_2}, &x\in\mathbb{R}^N&,\end{aligned}\right. \end{equation*}where N2N \geq 2, p(2,2)p \in (2,2^*), 2=2N/(N2)2^* = 2N/(N-2) (2=2^* = \infty if N=2N=2), KjK_j are radial potentials, μ,ν>0\mu, \nu > 0, βR\beta \in \mathbb{R}, and critically σj(0,1)\sigma_j \in (0,1). The sublinear coupling exponents σj\sigma_j introduce fundamental challenges due to nonsmooth nonlinearities and singularities in standard reduction methods. To overcome this, we develop an enhanced Lyapunov-Schmidt reduction framework. By recasting the problem within a specially constructed metric space of local minimizers for an outer boundary value problem, we derive sharp a priori estimates enabling contraction mapping arguments. This approach circumvents the limitations of classical methods for sublinear couplings. We further uncover a novel "dead core" phenomenon: solutions (u,v)(u_\ell, v_\ell) exhibit non-strict positivity with topological segregation. Specially, for N=2N=2 and large integers \ell, there exist radii 0<R1<R20 < R_1 < R_2 such that supp uBR2(0)\text{supp } u_\ell \subset B_{R_2}(0), supp vRNBR1(0)\text{supp } v_\ell \subset \mathbb{R}^N \setminus B_{R_1}(0), and u+v0u_\ell + v_\ell \to 0 uniformly in BR2(0)BR1(0)B_{R_2}(0) \setminus B_{R_1}(0) as \ell \to \infty. Our methodology provides a versatile framework for handling nonsmooth nonlinearities in reduction techniques.

Keywords

Cite

@article{arxiv.2511.06671,
  title  = {Segregated solutions for nonlinear Schr\"odinger systems with sublinear coupling terms},
  author = {Qing Guo and Chengxiang Zhang},
  journal= {arXiv preprint arXiv:2511.06671},
  year   = {2025}
}
R2 v1 2026-07-01T07:28:52.661Z