A simple construction of the sine-Gordon model via stochastic quantization
Massimiliano Gubinelli, Martin Hairer, Tadahiro Oh, Younes Zine

TL;DR
This paper introduces a straightforward PDE-based approach to construct the sine-Gordon measure below a certain threshold and proves global well-posedness of the hyperbolic sine-Gordon model in finite volume for specific parameter ranges.
Contribution
It provides a novel PDE construction of the sine-Gordon measure and establishes global well-posedness results for the hyperbolic model.
Findings
Constructed sine-Gordon measure below the first threshold using PDE methods.
Proved pathwise global well-posedness of the hyperbolic sine-Gordon model in finite volume for ^2 < 2.
Analyzed both finite and infinite volume settings for the sine-Gordon model.
Abstract
We present a simple PDE construction of the sine-Gordon measure below the first threshold (), in both the finite and infinite volume settings, by studying the corresponding parabolic sine-Gordon model. We also establish pathwise global well-posedness of the hyperbolic sine-Gordon model in finite volume for .
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
TopicsNumerical methods for differential equations · Medical Imaging Techniques and Applications · Lung Cancer Research Studies
