Remarks on the convex integration technique applied to singular stochastic partial differential equations

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Authors: Hongjie Dong, Kazuo Yamazaki
Cited by: 0

Abstract

Singular stochastic partial differential equations informally refer to the partial differential equations with rough random force that leads to the products in the nonlinear terms becoming ill-defined. Besides the theories of regularity structures and paracontrolled distributions, the technique of convex integration has emerged as a possible approach to construct a solution to such singular stochastic partial differential equations. We review recent developments in this area, and also demonstrate that an application of the convex integration technique to prove non-uniqueness seems unlikely for a particular singular stochastic partial differential equation, specifically the $Φ^{4}$ model from quantum field theory.

Fields of Study & Subjects

Advanced Mathematical Physics Problems Mathematical and Theoretical Analysis Nonlinear Partial Differential Equations

Publication details

Journal / source
arXiv (Cornell University)
Publication date
15 January 2026
Document type
Preprint