Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6928610 | Journal of Computational Physics | 2018 | 29 Pages |
Abstract
In this paper, we extend the dynamical low-rank approximation method to the space of finite signed measures. Under this framework, we derive stochastic low-rank dynamics for stochastic differential equations (SDEs) coming from classical stochastic dynamics or unraveling of Lindblad quantum master equations. We justify the proposed method by error analysis and also numerical examples for applications in solving high-dimensional SDE, stochastic Burgers' equation, and high-dimensional Lindblad equation.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yu Cao, Jianfeng Lu,