Probabilistic local well-posedness for the Schr\"odinger equation posed for the Grushin Laplacian
Louise Gassot (LMO, DMA), Micka\"el Latocca (DMA)

TL;DR
This paper establishes almost-sure local well-posedness for the nonlinear Schrödinger equation with the Grushin operator for low regularity initial data in Sobolev spaces, using probabilistic methods.
Contribution
It proves the first known local well-posedness results in Sobolev spaces with regularity below 1.5 for the Schrödinger equation associated with the Grushin operator, via probabilistic techniques.
Findings
Almost-sure local well-posedness for $k \, \in\, (1, \frac{3}{2}]$
Existence of a large family of initial data with probabilistic well-posedness
Use of bilinear and trilinear estimates in the proof
Abstract
We study the local well-posedness of the nonlinear Schr\"odinger equation associated to the Grushin operator with random initial data. To the best of our knowledge, no well-posedness result is known in the Sobolev spaces when . In this article, we prove that there exists a large family of initial data such that, with respect to a suitable randomization in , , almost-sure local well-posedness holds. The proof relies on bilinear and trilinear estimates.
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 · Advanced Mathematical Modeling in Engineering · Numerical methods in inverse problems
