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首页> 外文期刊>Stochastics: An International Journal of Probability and Stochastic Processes >Malliavin calculus for product measures on R{sup}N based on chaos
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Malliavin calculus for product measures on R{sup}N based on chaos

机译:基于混沌的R {sup} N乘积度量的Malliavin演算

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摘要

Malliavin calculus is developed for each measure on R{sup}N, which is the product measure derived from an arbitrary Borel probability measure μ{sup}1 on R. Each square integrable functional on R{sup}N can be expanded into an orthogonal series of multiple integrals. The integrators are martingales, whose increments are orthogonal polynomials of F, where F is a Borel measurable bijection from R onto R such that E{sub}(μ{sup}1)e{sup}|F| < ∞, Based on this chaos decomposition result, we introduce the Malliavin derivative, the Ito integral, the Skorohod integral and prove the Clark-Ocone formula. Our approach includes Malliavin calculus on the classical Poisson space and on any abstract Wiener - Predict space over l{sub}2 Moreover, measures for which polynomials are not integrable and non-smooth measures are included.
机译:针对R {sup} N上的每个度量开发Malliavin微积分,这是从R上的任意Borel概率度量μ{sup} 1得出的乘积度量。R{sup} N上的每个平方可积泛函都可以扩展为正交多个积分的序列。积分器是mar,其增量是F的正交多项式,其中F是从R到R的Borel可测双射,使得E {sub}(μ{sup} 1)e {sup} | F | <∞,基于该混沌分解结果,我们引入了Malliavin导数,Ito积分,Skorohod积分并证明了Clark-Ocone公式。我们的方法包括在经典Poisson空间和任何抽象Wiener上的Malliavin微积分-预测l {sub} 2上的空间。此外,还包括多项式不可积分的度量和非平滑度量。

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