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Probabilistic well-posedeness for the nonlinear Schr\"odinger equation on the 2d sphere I: positive regularities

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arxiv 2404.18229 v2 pith:O2MAEM72 submitted 2024-04-28 math.AP

Probabilistic well-posedeness for the nonlinear Schr\"odinger equation on the $2d$ sphere I: positive regularities

classification math.AP
keywords equationmathbbnonlinearodingerprobabilisticregularityschrsphere
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abstract

We establish the probabilistic well-posedness of the nonlinear Schr\"odinger equation on the $2d$ sphere $\mathbb{S}^{2}$. The initial data are distributed according to Gaussian measures with typical regularity $H^{s}(\mathbb{S}^{2})$, for $s>0$. This level of regularity goes significantly beyond existing deterministic results, in a regime where the flow map cannot be extended uniformly continuously.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Gauge transforms, random averaging operator ansatz and improved probabilistic well-posedness for the radial NLS on the $3d$ ball

    math.AP 2026-06 unverdicted novelty 7.0

    Constructs probabilistic strong solutions to radial cubic NLS on 3D ball in supercritical regime via gauge transforms and random averaging operators, improving Bourgain-Bulut.

  2. On the pointwise convergence of NLS flow on $ \S^2 $

    math.AP 2026-04 unverdicted novelty 7.0

    The cubic NLS on S² converges pointwise almost everywhere to initial data almost surely at low regularity, and a new necessary condition is given for L^p maximal estimates of the linear Schrödinger equation on S².

  3. Probabilistic well-posedness of dispersive PDEs beyond variance blowup I: Benjamin-Bona-Mahony equation

    math.AP 2025-09 conditional novelty 7.0

    Renormalized BBM with rough Gaussian initial data converges in law to stochastic BBM forced by derivative of spatial white noise, for all regularities alpha <= 1/4.

  4. On probabilistic ill-posedness

    math.AP 2026-07 accept novelty 6.0

    The paper defines enhanced probabilistic well-posedness by imposing stability at the origin and reinterprets recent 'beyond variance blowup' results for dispersive PDEs as probabilistic ill-posedness.