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arXiv 2006.02787math.PR
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随机抛物型发展方程通过路径温和解的随机吸引子

Random attractors via pathwise mild solutions for stochastic parabolic evolution equations

Christian Kuehn, Alexandra Neamtu, Stefanie Sonner

摘要:

我们研究了具有依赖于时间和潜在概率空间的微分算子的随机偏微分方程(SPDE)的长期行为。特别地,我们考虑了带加性噪声的巴拿赫空间中的随机抛物发展问题,证明了随机指数吸引子的存在性。这些是有限分形维数的紧凑随机集,包含全局随机吸引子,并以指数速率吸引。为了应用随机动力系统的框架,我们使用路径温和的解决方案的概念。这种方法是必不可少的,因为随机发展方程不能通过平稳的Ornstein-Uhlenbeck过程转化为一个家庭的随机系数的偏微分方程。

英文摘要:

We investigate the longtime behavior of stochastic partial differential equations (SPDEs) with differential operators that depend on time and the underlying probability space. In particular, we consider stochastic parabolic evolution problems in Banach spaces with additive noise and prove the existence of random exponential attractors. These are compact random sets of finite fractal dimension that contain the global random attractor and are attracting at an exponential rate. In order to apply the framework of random dynamical systems, we use the concept of pathwise mild solutions. This approach is essential for our setting since the stochastic evolution equation cannot be transformed into a family of PDEs with random coefficients via the stationary Ornstein-Uhlenbeck process.

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