STOCHASTIC PROCESSES AND THEIR APPLICATIONS | 卷:128 |
Discretizing Malliavin calculus | |
Article | |
Bender, Christian1  Parczewski, Peter2  | |
[1] Saarland Univ, Dept Math, POB 151150, D-66041 Saarbrucken, Germany | |
[2] Univ Mannheim, Inst Math, A5,6, D-68131 Mannheim, Germany | |
关键词: Malliavin calculus; Strong approximation; Stochastic integrals; S-transform; Chaos decomposition; Invariance principle; | |
DOI : 10.1016/j.spa.2017.09.014 | |
来源: Elsevier | |
【 摘 要 】
Suppose B is a Brownian motion and B-n is an approximating sequence of rescaled random walks on the same probability space converging to B pointwise in probability. We provide necessary and sufficient conditions for weak and strong L-2-convergence of a discretized Malliavin derivative, a discrete Skorokhod integral, and discrete analogues of the Clark-Ocone derivative to their continuous counterparts. Moreover, given a sequence (X-n) of random variables which admit a chaos decomposition in terms of discrete multiple Wiener integrals with respect to B-n, we derive necessary and sufficient conditions for strong L-2-convergence to a sigma (B)-measurable random variable X via convergence of the discrete chaos coefficients of X-n to the continuous chaos coefficients. (C) 2017 Elsevier B.V. All rights reserved.
【 授权许可】
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