Green kernel for a random Schr\"odinger operator
Carlos G. Pacheco

TL;DR
This paper explicitly derives the Green kernel for a random Schrödinger operator with Brownian white noise, revealing its spectral properties using classical Sturm-Liouville theory.
Contribution
It introduces a method to explicitly construct the Green kernel for a stochastic Schrödinger operator with Brownian noise, linking it to spectral analysis.
Findings
Green kernel explicitly derived
Operator has discrete spectra
Method connects stochastic operators with classical theory
Abstract
We find explicitly the Green kernel of a random Schr\"odinger operator with Brownian white noise. To do this, we first handle the random operator by defining it weakly using the inner product of a Hilbert space. Then, using classic Sturm-Liouville theory, we can build the Green kernel with linearly independent solutions of a homogeneous problem. As a corollary we have that the random operator has a discrete spectra.
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.
