Interface fluctuations for $1$D stochastic Allen-Cahn equation revisited

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Hauptverfasser: Xu, Weijun, Zhao, Wenhao, Zhou, Shuhan
Format: Preprint
Veröffentlicht: 2024
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author Xu, Weijun
Zhao, Wenhao
Zhou, Shuhan
author_facet Xu, Weijun
Zhao, Wenhao
Zhou, Shuhan
contents We revisit the interface fluctuation problem for the $1$D Allen-Cahn equation perturbed by a small space-time white noise. We show that if the initial data is a standing wave solution to the deterministic equation, then under proper long time scale, the solution is still close to the family of traveling wave solutions. Furthermore, the motion of the interface converges to an explicit stochastic differential equation. This extends the classical result in \cite{Fun95} to full small noise regime, and recovers the result in \cite{BBDMP98}. The proof builds on the analytic framework in \cite{Fun95}. Our main novelty is the construction of a series of functional correctors that are designed to recursively cancel potential divergences. Moreover, to show these correctors are well-behaved, we develop a systematic decomposition of Fréchet derivatives of the deterministic Allen-Cahn flow of all orders. This decomposition is of its own interest, and may be useful in other situations as well.
format Preprint
id arxiv_https___arxiv_org_abs_2402_19070
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Interface fluctuations for $1$D stochastic Allen-Cahn equation revisited
Xu, Weijun
Zhao, Wenhao
Zhou, Shuhan
Probability
Analysis of PDEs
We revisit the interface fluctuation problem for the $1$D Allen-Cahn equation perturbed by a small space-time white noise. We show that if the initial data is a standing wave solution to the deterministic equation, then under proper long time scale, the solution is still close to the family of traveling wave solutions. Furthermore, the motion of the interface converges to an explicit stochastic differential equation. This extends the classical result in \cite{Fun95} to full small noise regime, and recovers the result in \cite{BBDMP98}. The proof builds on the analytic framework in \cite{Fun95}. Our main novelty is the construction of a series of functional correctors that are designed to recursively cancel potential divergences. Moreover, to show these correctors are well-behaved, we develop a systematic decomposition of Fréchet derivatives of the deterministic Allen-Cahn flow of all orders. This decomposition is of its own interest, and may be useful in other situations as well.
title Interface fluctuations for $1$D stochastic Allen-Cahn equation revisited
topic Probability
Analysis of PDEs
url https://arxiv.org/abs/2402.19070