English

The stochastic Keller--Segel system in critical spaces

Probability 2026-07-29 v1 Analysis of PDEs

Abstract

We study stochastic, parabolic-parabolic Keller--Segel equations on the dd-dimensional torus in scaling critical Besov spaces, for d3d \geq 3. Using stochastic maximal regularity estimates, we prove local well-posedness of the equation, i.e., that there exists a unique solution up to a maximal time of existence. We show that the time of existence can be made arbitrarily large with arbitrarily high probability, provided that the initial data is sufficiently small in these critical spaces. Contribution to the Oberwolfach Report for the Seminar 'Stochastic Partial Differential Equations in Critical Spaces' organized by Antonio Agresti and Mark Veraar.

Keywords

Cite

@article{arxiv.2607.27472,
  title  = {The stochastic Keller--Segel system in critical spaces},
  author = {Jae-Hwan Choi and Ankit Kumar and Andrea Pitrone and Shyam Popat and Max Sauerbrey},
  journal= {arXiv preprint arXiv:2607.27472},
  year   = {2026}
}

Comments

29 pages. Contribution to the Oberwolfach Report for the Seminar 'Stochastic Partial Differential Equations in Critical Spaces' organized by Antonio Agresti and Mark Veraar