
TL;DR
The paper introduces and analyzes the partial averaging technique used with the Feynman-Kac formula, demonstrating its convergence properties for a broad class of potentials, including those with singularities.
Contribution
It provides a detailed mathematical analysis of the partial averaging method, establishing its convergence for Kato-class potentials with finite Gaussian transforms.
Findings
Converges for all Kato-class potentials with finite Gaussian transform
Enjoys good rates of convergence
Applicable to potentials with Coulombic singularities
Abstract
The partial averaging technique is defined and used in conjunction with the random series implementation of the Feynman-Kac formula. It enjoys certain properties such as good rates of convergence and convergence for potentials with coulombic singularities. In this work, I introduce the reader to the technique and I analyze the basic mathematical properties of the method. I show that the method is convergent for all Kato-class potentials that have finite Gaussian transform.
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.
