Open Access
2022 Random separation property for stochastic Allen-Cahn-type equations
Federico Bertacco, Carlo Orrieri, Luca Scarpa
Author Affiliations +
Electron. J. Probab. 27: 1-32 (2022). DOI: 10.1214/22-EJP830

Abstract

We study a large class of stochastic p-Laplace Allen-Cahn equations with singular potential. Under suitable assumptions on the (multiplicative-type) noise we first prove existence, uniqueness, and regularity of variational solutions. Then, we show that a random separation property holds, i.e. almost every trajectory is strictly separated in space and time from the potential barriers. The threshold of separation is random, and we further provide exponential estimates on the probability of separation from the barriers. Eventually, we exhibit a convergence-in-probability result for the random separation threshold towards the deterministic one, as the noise vanishes, and we obtain an estimate of the convergence rate.

Funding Statement

The third author has been partially funded by MIUR-PRIN Grant 2020F3NCPX “Mathematics for industry 4.0 (Math4I4)”.

Acknowledgments

We are especially grateful to Prof. Ulisse Stefanelli for the insightful discussions about separation properties for deterministic doubly nonlinear evolution equations. The second and third authors are members of Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA), Istituto Nazionale di Alta Matematica (INdAM).

Citation

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Federico Bertacco. Carlo Orrieri. Luca Scarpa. "Random separation property for stochastic Allen-Cahn-type equations." Electron. J. Probab. 27 1 - 32, 2022. https://doi.org/10.1214/22-EJP830

Information

Received: 10 November 2021; Accepted: 11 July 2022; Published: 2022
First available in Project Euclid: 26 July 2022

arXiv: 2110.06544
MathSciNet: MR4456779
zbMATH: 1498.35636
Digital Object Identifier: 10.1214/22-EJP830

Subjects:
Primary: 35K10 , 35K55 , 35K67 , 60H15

Keywords: exponential estimates , Logarithmic potential , random separation property , stochastic Allen-Cahn equation

Vol.27 • 2022
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