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首页> 外文期刊>Infinite dimensional analysis, quantum probability, and related topics >Generalized covariation and extended Fukushima decomposition for banach space-valued processes: Applications to windows of dirichlet processes
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Generalized covariation and extended Fukushima decomposition for banach space-valued processes: Applications to windows of dirichlet processes

机译:Banach空间值过程的广义协变和扩展的Fukushima分解:应用于Dirichlet过程的窗口

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This paper is concerned with the notion of covariation for Banach space-valued processes. In particular, we introduce a notion of quadratic variation, which is a generalization of the classical restrictive formulation of Métivier and Pellaumail. Our approach is based on the notion of χ-covariation for processes with values in two Banach spaces B _1 and B _2, where χ is a suitable subspace of the dual of the projective tensor product of B _1 and B _2. We investigate some C ~1 type transformations for various classes of stochastic processes admitting a χ-quadratic variation and related properties. If ~1 and ~2 admit a χ-covariation, F ~i: B _i →, i = 1, 2 are of class C ~1 with some supplementary assumptions, then the covariation of the real processes F ~1(~1) and F ~2(~2) exist. A detailed analysis is provided on the so-called window processes. Let X be a real continuous process; the C([-τ, 0])-valued process X(·) defined by X _t(y) = X _(t+y), where y ∈ [-τ, 0], is called window process. Special attention is given to transformations of window processes associated with Dirichlet and weak Dirichlet processes. Those will constitute a significant Fukushima decomposition for functionals of windows of (weak) Dirichlet processes. As application, we provide a new technique for representing a path-dependent random variable as its expectation plus a stochastic integral with respect to the underlying process.
机译:本文涉及Banach空间值过程的协变概念。特别是,我们引入了二次方差的概念,它是对Métivier和Pellaumail的经典限制性表述的概括。我们的方法基于具有两个Banach空间B _1和B _2中的值的过程的χ协变概念,其中χ是B _1和B _2的投影张量积对偶的合适子空间。我们研究了承认χ二次方差和相关性质的各种随机过程的C〜1型转换。如果〜1和〜2允许χ协变,F〜i:B _i→,i = 1,2属于C〜1类,并带有一些补充假设,则实际过程的协变F〜1(〜1)和F〜2(〜2)存在。详细介绍了所谓的窗口过程。令X是一个真正的连续过程;由X _t(y)= X _(t + y)定义的C([-τ,0])值过程X(·),其中y∈[-τ,0],被称为窗口过程。特别注意与Dirichlet和弱Dirichlet过程相关的窗口过程的转换。这些将构成(弱)Dirichlet过程的窗口功能的重要福岛分解。作为应用程序,我们提供了一种新技术,将依赖于路径的随机变量表示为期望值,以及相对于基础过程的随机积分。

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