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arXiv 1201.4440math.PR
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一维随机偏微分方程亚稳跃迁时间的精确渐近性

Sharp asymptotics of metastable transition times for one dimensional SPDEs

Florent Barret

摘要:

在紧空间上考虑一类时空白噪声驱动的抛物型半线性随机偏微分方程。我们的目标是获得精确的渐近的过渡时间之间的亚稳态。所谓的Eyring-Kramers公式的一个版本是在无限维的设置证明。证明是基于空间有限差分离散的随机偏微分方程。期望的过渡时间计算的有限维近似和控制均匀的尺寸。

英文摘要:

We consider a class of parabolic semi-linear stochastic partial differential equations driven by space-time white noise on a compact space interval. Our aim is to obtain precise asymptotics of the transition times between metastable states. A version of the so-called Eyring-Kramers Formula is proven in an infinite dimensional setting. The proof is based on a spatial finite difference discretization of the stochastic partial differential equation. The expected transition time is computed for the finite dimensional approximation and controlled uniformly in the dimension.

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