A para-controlled approach to the stochastic Yang-Mills equation in two dimensions
Bjoern Bringmann, Sky Cao

TL;DR
This paper revisits the stochastic Yang-Mills heat equation in two dimensions, employing para-controlled calculus to establish local well-posedness and gauge-covariance, offering a new coordinate-invariant viewpoint on stochastic objects.
Contribution
It introduces a para-controlled calculus approach to the stochastic Yang-Mills equation, providing an alternative to regularity structures and emphasizing coordinate invariance.
Findings
Established local well-posedness using para-controlled calculus
Proved gauge-covariance of the stochastic Yang-Mills model
Developed a new coordinate-invariant framework for stochastic vector-valued objects
Abstract
We consider the stochastic Yang-Mills heat equation on the two-dimensional torus. Using regularity structures, Chandra, Chevyrev, Hairer, and Shen previously proved both the local well-posedness and gauge-covariance of this model. In this article, we revisit their results using para-controlled calculus. One of the main ingredients is a new coordinate-invariant perspective on vector-valued stochastic objects.
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
TopicsStochastic processes and financial applications · Geometric Analysis and Curvature Flows · advanced mathematical theories
