随机偏微分方程
随机偏微分方程(英文:Stochastic partial differential equations (SPDEs))类似于一般的随机微分方程。其本质上是带有随机项和随机系数的偏微分方程。随机微分方程在量子场论、统计力学、金融数学中有着广泛的应用。
Examples
One of the most studied SPDEs is the stochastic heat equation, which may formally be written as
where is the Laplacian and denotes space-time white noise.
Discussion
One difficulty is their lack of regularity. In one space dimension, solutions to the stochastic heat equation are only almost 1/2-Hölder continuous in space and 1/4-Hölder continuous in time. For dimensions two and higher, solutions are not even function-valued, but can be made sense of as random distributions.
参见
- Brownian surface
- Kardar–Parisi–Zhang equation
- Kushner equation
- Wick product
- Zakai equation
延伸阅读
- Holden, H., Øksendal, B., Ubøe, J, Zhang, T., 2010. Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach (页面存档备份,存于互联网档案馆). Universitext, Springer, New York, NY, ed. 2.