A remark on pathwise well-posedness of the 1- d stochastic heat equation

We study pathwise well-posedness of the stochastic heat equation (SHE) with a multiplicative noise on the circle. By combining the convolution Young and rough integration theory, introduced by Gubinelli and Tindel (2010), with the random tensor estimate approach to pathwise well-posedness of stochastic dispersive PDEs with multiplicative noises, introduced by Chapouto and the second and third authors (2026), we establish pathwise well-posedness of SHE in both the Young and rough cases, improving the results in Gubinelli and Tindel (2010). In particular, in the rough case (= the white-in-time case), our result covers the case of almost space-time white noise, thus establishing an optimal result within the framework of one-parameter rough paths.

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Publication Details

Journal
Proceedings of the Royal Society of Edinburgh Section A Mathematics
Published
2026-09-04
DOI
https://doi.org/10.1017/prm.2026.10164
Primary Topic
Advanced Mathematical Physics Problems
Type
article
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article

A remark on pathwise well-posedness of the 1- d stochastic heat equation

Tadahiro Oh, Yufei Shao, Jiawei Li
Proceedings of the Royal Society of Edinburgh Section A Mathematics
Advanced Mathematical Physics Problems
article

A remark on pathwise well-posedness of the 1- d stochastic heat equation

Tadahiro Oh, Yufei Shao, Jiawei Li
article en

Abstract

We study pathwise well-posedness of the stochastic heat equation (SHE) with a multiplicative noise on the circle. By combining the convolution Young and rough integration theory, introduced by Gubinelli and Tindel (2010), with the random tensor estimate approach to pathwise well-posedness of stochastic dispersive PDEs with multiplicative noises, introduced by Chapouto and the second and third authors (2026), we establish pathwise well-posedness of SHE in both the Young and rough cases, improving the results in Gubinelli and Tindel (2010). In particular, in the rough case (= the white-in-time case), our result covers the case of almost space-time white noise, thus establishing an optimal result within the framework of one-parameter rough paths.

Proceedings of the Royal Society of Edinburgh Section A Mathematics
Beijing Institute of Technology (CN), Maxwell Institute for Mathematical Sciences (GB), University of Edinburgh (GB)
Openalex Percentile: Top 5%
Advanced Mathematical Physics Problems
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