A Milstein Scheme for SPDEs

作者：Jentzen Arnulf^*; Roeckner Michael

来源：Foundations of Computational Mathematics, 2015, 15(2): 313-362.

DOI：10.1007/s10208-015-9247-y

• Milstein scheme
• Stochastic partial differential equation
• SPDE
• Stochastic differential equation
• SDE
• Numerical approximation
• Higher-order approximation

This article studies an infinite-dimensional analog of Milstein's scheme for finite-dimensional stochastic ordinary differential equations (SODEs). The Milstein scheme is known to be impressively efficient for SODEs which fulfill a certain commutativity type condition. This article introduces the infinite-dimensional analog of this commutativity type condition and observes that a certain class of semilinear stochastic partial differential equation (SPDEs) with multiplicative trace class noise naturally fulfills the resulting infinite-dimensional commutativity condition. In particular, a suitable infinite-dimensional analog of Milstein's algorithm can be simulated efficiently for such SPDEs and requires less computational operations and random variables than previously considered algorithms for simulating such SPDEs. The analysis is supported by numerical results for a stochastic heat equation, stochastic reaction diffusion equations and a stochastic Burgers equation, showing significant computational savings.

• 出版日期2015-4