English

Optimal regularity in time and space for stochastic porous medium equations

Probability 2022-10-25 v2 Analysis of PDEs

Abstract

We prove optimal regularity estimates in Sobolev spaces in time and space for solutions to stochastic porous medium equations. The noise term considered here is multiplicative, white in time and coloured in space. The coefficients are assumed to be H\"older continuous and the cases of smooth coefficients of at most linear growth as well as u\sqrt{u} are covered by our assumptions. The regularity obtained is consistent with the optimal regularity derived for the deterministic porous medium equation in [Gess 2020] and [Gess, Sauer, Tadmor 2020] and the presence of the temporal white noise. The proof relies on a significant adaptation of velocity averaging techniques from their usual L1L^1 context to the natural L2L^2 setting of the stochastic case. We introduce a new mixed kinetic/mild representation of solutions to quasilinear SPDE and use L2L^2 based a priori bounds to treat the stochastic term.

Keywords

Cite

@article{arxiv.2110.01637,
  title  = {Optimal regularity in time and space for stochastic porous medium equations},
  author = {Stefano Bruno and Benjamin Gess and Hendrik Weber},
  journal= {arXiv preprint arXiv:2110.01637},
  year   = {2022}
}

Comments

Accepted version, to appear in Annals of Probability

R2 v1 2026-06-24T06:36:59.360Z