Papers
Topics
Authors
Recent
Search
2000 character limit reached

Large-Data Global Well-Posedness for the Defocusing Cubic Schrödinger Equation in 3D Convex Domains

Published 25 Sep 2026 in math.AP | (2609.30920v1)

Abstract: We establish the global well-posedness for the energy-subcritical defocusing cubic nonlinear Schrödinger equation (NLS) on the three-dimensional Friedlander model domain ( Ω={x\in\mathbb{R}:x\geq0}\times\mathbb{R}2_{y,z}, ) subject to homogeneous Dirichlet boundary conditions, for arbitrarily large initial data in the coercive energy space H0<sup>1(Ω)H_0<sup>1(Ω). The phase-space geometry of this configuration features a strictly convex boundary that admits a non-empty glancing set, trapping high-frequency wave packets within a boundary layer via generalized whispering-gallery caustics. These concentration phenomena induce an intrinsic derivative loss in the sharp linear Strichartz estimates, establishing a major microlocal obstruction to closing the nonlinear Duhamel iteration directly at the energy level via classical perturbative frameworks. To bridge the regularity deficit between the conservation laws and the linear theory, we construct a boundary-adapted family of continuous--discrete Bourgain--Strichartz restriction spaces X<sup>s,bX<sup>{s,b} built from the spectral decomposition of the Dirichlet realization of the model Friedlander operator ( Δg=\partial_x2+(1+x)\partial_y2+\partial_z2. ) The normal variable is resolved through discrete Airy spectral modes, while the tangential variables are continuously Fourier analyzed. Within this functional framework, we implement a refined high--low frequency decomposition to formulate a perturbed nonlinear equation for the high-frequency remainder in the sub-energy space H0<sup>s(Ω)H_0<sup>s(Ω) for ( \frac{1}{2}<s<1. ) The initial high-frequency datum satisfies a quantitative sub-energy decay estimate of the form ( |P{>λ}u_0|{H_0s(Ω)} \label{eq:abs_decay} \lesssim λ{s-1}|u_0|{H_01(Ω)}, ) providing a small parameter to counteract the derivative loss.

Authors (1)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Tweets

Sign up for free to view the 1 tweet with 0 likes about this paper.