方向Malliavin导数:独立性的表征和广义链式法则

Stefan Koch
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引用次数: 2

摘要

我们定义了一个与连续线性算子相连的方向Malliavin导数。我们证明了这个方向Malliavin导数为零等价于随机变量上的一些可测性或独立性条件。利用这一点,我们得到了两个随机变量是独立的,它们的经典Malliavin导数存在于正交子空间中。我们还将链式规则扩展到方向Malliavin导数和一类更广泛的具有较弱正则性假设的函数。
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Directional Malliavin Derivatives: A Characterisation of Independence and a Generalised Chain Rule
We define a directional Malliavin derivative connected to a continuous linear operator. We show that this directional Malliavin derivative being zero is equivalent to some measurability or independence condition on the random variable. Using this, we obtain that two random variables, whose classical Malliavin derivatives live in orthogonal subspaces, are independent. We also extend the chain rule to directional Malliavin derivatives and a broader class of functions with weaker regularity assumptions.
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来源期刊
Communications on Stochastic Analysis
Communications on Stochastic Analysis Mathematics-Statistics and Probability
CiteScore
2.40
自引率
0.00%
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0
期刊介绍: The journal Communications on Stochastic Analysis (COSA) is published in four issues annually (March, June, September, December). It aims to present original research papers of high quality in stochastic analysis (both theory and applications) and emphasizes the global development of the scientific community. The journal welcomes articles of interdisciplinary nature. Expository articles of current interest will occasionally be published. COSAis indexed in Mathematical Reviews (MathSciNet), Zentralblatt für Mathematik, and SCOPUS
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