Global well-posedness for the mass-critical stochastic nonlinear Schr\"odinger equation on $\mathbb{R}$: general $L^2$ data
Chenjie Fan, Weijun Xu

TL;DR
This paper proves global well-posedness for the stochastic defocusing mass-critical nonlinear Schrödinger equation on the real line with arbitrary $L^2$ initial data, using stability results and extending to other stochastic NLS models.
Contribution
It establishes the first global well-posedness result for stochastic mass-critical NLS with general $L^2$ data, incorporating stability techniques and broadening understanding of stochastic NLS models.
Findings
Global well-posedness for stochastic NLS with $L^2$ data
Development of stability results for deterministic modified NLS
Extension to other stochastic NLS models
Abstract
We continue our study for the stochastic defocusing mass crtical nonlinear Schr\"odinger equation with conservative multiplicative noise, and show that it is globally well-posed for arbitrary initial data in . The main ingredients are several stability type results for deterministic (modified) NLS, which have their own interest. We also give some results on other stochastic NLS type models.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Physics Problems · Quantum Chromodynamics and Particle Interactions · Stochastic processes and financial applications
