Quasi-invariance of Gaussian measures of negative regularity for fractional nonlinear Schrödinger equations

We consider the Cauchy problem for the fractional nonlinear Schrödinger equation (FNLS) on the one-dimensional torus with cubic nonlinearity and high dispersion parameter \alpha > 1 , subject to a Gaussian random initial data of negative Sobolev regularity \sigma<s-{1}/{2} , for s \le 1/2 . We...

Full description

Saved in:
Bibliographic Details
Published inJournal of the European Mathematical Society : JEMS
Main Authors Forlano, Justin, Tolomeo, Leonardo
Format Journal Article
LanguageEnglish
Published 03.06.2025
Online AccessGet full text
ISSN1435-9855
1435-9863
1435-9863
DOI10.4171/jems/1643

Cover

More Information
Summary:We consider the Cauchy problem for the fractional nonlinear Schrödinger equation (FNLS) on the one-dimensional torus with cubic nonlinearity and high dispersion parameter \alpha > 1 , subject to a Gaussian random initial data of negative Sobolev regularity \sigma<s-{1}/{2} , for s \le 1/2 . We show that for all s_{\ast}(\alpha) <s\leq{1}/{2} , the equation is almost surely globally well-posed. Moreover, the associated Gaussian measure supported on H^{s}(\mathbb{T}) is quasi-invariant under the flow of the equation. For \alpha < \frac{1}{20}(17 + 3\sqrt{21}) \approx 1.537 , the regularity of the initial data is lower than the one provided by the deterministic well-posedness theory. This is the first probabilistic globalization argument that is not in the setting of an invariant measure and not based on a known deterministic method to construct global-in-time solutions. We obtain this result by following the approach of DiPerna–Lions (1989), first showing global-in-time bounds for the solution of the infinite-dimensional Liouville equation for the transport of the Gaussian measure, and then transferring these bounds to the solution of the equation by adapting Bourgain’s invariant measure argument to the quasi-invariance setting. This allows us to bootstrap almost sure global bounds for the solution of (FNLS) from the probabilistic local well-posedness theory.
ISSN:1435-9855
1435-9863
1435-9863
DOI:10.4171/jems/1643