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 Hölder continuous, and the cases of smooth coefficients of, at most, linear growth as well as are covered by our assumptions. The regularity obtained is consistent with the optimal regularity derived for the deterministic porous medium equation in (J. Eur. Math. Soc. 23 (2021) 425–465, Anal. PDE 13 (2020) 2441–2480) and the presence of the temporal white noise. The proof relies on a significant adaptation of velocity averaging techniques from their usual context to the natural setting of the stochastic case. We introduce a new mixed kinetic/mild representation of solutions to quasilinear SPDE and use based a priori bounds to treat the stochastic term.
Funding Statement
SB is supported by a scholarship from the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa), under the project EP/L015684/1. BG acknowledges support by the Max Planck Society through the Max Planck Research Group Stochastic partial differential equations. This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - SFB 1283/2 2021 - 317210226. HW is supported by the Royal Society through the University Research Fellowship UF140187 and by the Leverhulme Trust through a Philip Leverhulme Prize.
Acknowledgments
SB, BG and HW thank the Isaac Newton Institute for Mathematical Sciences for hospitality during the programme Scaling limits, rough paths, quantum field theory which was supported by EPSRC Grant No. EP/R014604/1.
BG is also affiliated with Max Planck Institute for Mathematics in the Sciences, Leipzig.
Citation
Stefano Bruno. Benjamin Gess. Hendrik Weber. "Optimal regularity in time and space for stochastic porous medium equations." Ann. Probab. 50 (6) 2288 - 2343, November 2022. https://doi.org/10.1214/22-AOP1583
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