## Abstract Adaptive timeโstepping methods based on the Monte Carlo Euler method for weak approximation of Itรด stochastic differential equations are developed. The main result is new expansions of the computational error, with computable leadingโorder term in a posteriori form, based on stochastic
Weak approximation of the stochastic wave equation
โ Scribed by Erika Hausenblas
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 538 KB
- Volume
- 235
- Category
- Article
- ISSN
- 0377-0427
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โฆ Synopsis
We investigate the accuracy of approximation of E[ฯ(u(t))], where {u(t) : t โ [0, โ)} is the solution of the stochastic wave equation driven by the space-time white noise and ฯ is an R-valued function defined on the Hilbert space L 2 (R). The approximation is done by the leap-frog scheme. We show that, under certain conditions on ฯ, the approximation by the leap-frog scheme is of order two.
๐ SIMILAR VOLUMES
A convergence theorem for the continuous weak approximation of the solution of stochastic differential equations (SDEs) by general one-step methods is proved, which is an extension of a theorem due to Milstein. As an application, uniform second order conditions for a class of continuous stochastic R