Transport of low regularity Gaussian measures for the 1d quintic nonlinear Schrödinger equation
Alexis Knezevitch
TL;DR
This work establishes quasi-invariance of the Gaussian measure with covariance $(1-\Delta)^{-s}$ under the 1D defocusing quintic NLS flow on the torus for all $s>\tfrac{3}{2}$. The authors construct an explicit Radon-Nikodym derivative for the transported measures by performing a Poincaré-Dulac normal form reduction, introducing an energy correction and a modified energy derivative, and then passing to the limit from truncated flows. They prove convergence of truncated densities to a limiting density and obtain $L^p$ integrability results for densities with respect to restricted Gaussian measures via weighted Gaussian measures that encode the nonlinearity. The approach combines deterministic multilinear estimates, dispersive Strichartz controls, and probabilistic Wiener chaos techniques to deliver quantitative quasi-invariance and convergence results, extending prior index-restricted results to a full range of regularity and providing explicit density formulas for the transported measures.
Abstract
We consider the 1d nonlinear Schrödinger equation (NLS) on the torus with initial data distributed according to the Gaussian measure with covariance operator $(1 - Δ)^{-s}$, where $Δ$ is the Laplace operator. We prove that the Gaussian measures are quasi-invariant along the flow of (NLS) for the full range $s > \frac{3}{2}$. This improves a previous result obtained by Planchon, Tzvetkov and Visciglia (in 2019), where the quasi-invariance is proven for $s=2k$, for all integers $k\geq 1$. In our approach, to prove the quasi-invariance, we directly establish an explicit formula for the Radon-Nikodym derivative $G_s(t,.)$ of the transported measures, which is obtained as the limit of truncated Radon-Nikodym derivatives $G_{s,N}(t,.)$ for transported measures associated with a truncated system. We also prove that the Radon-Nikodym derivatives belong to $L^p$, $p>1$, with respect to $H^1(\mathbb{T})$-cutoff Gaussian measures, relying on the introduction of weighted Gaussian measures produced by a normal form reduction, following a recent work by Sun and Tzvetkov (in 2023). Additionally, we prove that the truncated densities $G_{s,N}(t,.)$ converges to $G_s(t,.)$ in $L^p$ (with respect to the $H^1(\mathbb{T})$-cutoff Gaussian measures).
