Convergence to SPDE of the Schrodinger equation with large, random potential
Ningyao Zhang, Guillaume Bal

TL;DR
This paper investigates the asymptotic behavior of solutions to the Schrödinger equation with large, random potential, showing convergence to a stochastic differential equation in lower dimensions and to a deterministic solution in higher dimensions.
Contribution
It constructs the heterogeneous solution via Duhamel expansion and proves convergence to a stochastic PDE in certain dimensions, extending understanding of Schrödinger equations with random potentials.
Findings
Convergence to stochastic differential equation in dimension d<𝔪
Solution converges to deterministic Schrödinger in dimension d>𝔪
Preservation of mass ensures uniqueness of the limiting solution
Abstract
We study the asymptotic behavior of solutions to the Schr{\"o}dinger equation with large-amplitude, highly oscillatory, random potential. In dimension , where is the order of the leading operator in the Schr\"odinger equation, we construct the heterogeneous solution by using a Duhamel expansion and prove that it converges in distribution, as the correlation length goes to 0, to the solution of a stochastic differential equation, whose solution is represented as a sum of iterated Stratonovich integral, over the space . The uniqueness of the limiting solution in a dense space of is shown by verifying the property of conservation of mass for the Schr\"odinger equation. In dimension , the solution to the Schr{\"o}dinger equation is shown to converge in…
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 Modeling in Engineering · Numerical methods in inverse problems · Nonlinear Partial Differential Equations
