Sharp $L^4$ Strichartz estimate for Hyperbolic Schr\"odinger equation on $\mathbb{R}\times \mathbb{T}$
Yangkendi Deng, Chenjie Fan, Zehua Zhao

TL;DR
This paper establishes the sharp $L^4$ Strichartz estimate for the hyperbolic Schrödinger equation on $R imes T$, leading to global well-posedness results in the critical space for small initial data.
Contribution
It proves the first sharp $L^4$ Strichartz estimate for the hyperbolic Schrödinger equation on $R imes T$, extending classical results to a hyperbolic setting.
Findings
Proved the sharp $L^4$ Strichartz estimate without derivative loss.
Developed a kernel decomposition method combined with measure estimates for semi-algebraic sets.
Established global well-posedness for the cubic hyperbolic Schrödinger equation in the $L^2$-critical space.
Abstract
We prove the sharp Strichartz estimate without derivative loss for the hyperbolic Schr\"odinger equation on , \begin{equation} \|e^{it (\partial_{x_{1}}^2-\partial_{x_{2}}^2)} \phi\|_{L^4_{t,x_{1},x_{2}}([0,1]\times \mathbb{R} \times \mathbb{T})}\lesssim \|\phi\|_{L_{x_{1},x_{2}}^2(\mathbb{R} \times \mathbb{T})}, \end{equation} which serves as the hyperbolic analogue of the classical result of Takaoka-Tzvetkov \cite{takaoka20012d}. The proof is based on the combination of a robust kernel decomposition method with precise measure estimates for semi-algebraic sets. As an immediate application, we establish the global well-posedness for the cubic hyperbolic Schr\"odinger equation on in the -critical space with sufficiently small initial data.
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 · Mathematical Analysis and Transform Methods · Numerical methods in inverse problems
